## Artificial Intelligence and Machine Learning 

 ### Associated Publications

 

### 2026 

[GalaxyDiT: Efficient Video Generation with Guidance Alignment and Adaptive Proxy in Diffusion Transformers](/publication/2026-07_galaxydit-efficient-video-generation-guidance-alignment-and-adaptive-proxy)

Zoey Song, [Steve Dai](/person/steve-dai), [Ben Keller](/person/ben-keller), [Brucek Khailany](/person/brucek-khailany)



[DAC 2026](https://dac.com/2026)









[ScheduleStream: Temporal Planning with Samplers for GPU-Accelerated Multi-Arm Task and Motion Planning & Scheduling](/index.php/publication/2026-06_schedulestream-temporal-planning-samplers-gpu-accelerated-multi-arm-task-and)

[Caelan Garrett](/index.php/person/caelan-garrett), [Fabio Ramos](/index.php/person/fabio-ramos)



[IEEE International Conference on Robotics & Automation (ICRA)](https://arxiv.org/abs/2511.04758)









[Nemotron-Labs-Diffusion: A Tri-Mode Language Model Unifying Autoregressive, Diffusion, and Self-Speculation Decoding](/publication/2026-05_nemotron-labs-diffusion-tri-mode-language-model-unifying-autoregressive)

[Yonggan Fu](/person/yonggan-fu), Lexington Whalen, Abhinav Garg, Chengyue Wu, Maksim Khadkevich, Nicolai Oswald, Enze Xie, Daniel Egert, Sharath Turuvekere Sreenivas,, Shizhe Diao, Chenhan Yu, Ye Yu, Weijia Chen, Sajad Norouzi, Jingyu Liu, Shiyi Lan, Ligeng Zhu, Jin Wang, Jindong Jiang, Morteza Mardani, Mehran Maghoumi, Song Han, Ante Jukić, Nima Tajbakhsh, Jan Kautz, [Pavlo Molchanov](/person/pavlo-molchanov)













[Test-Time Alignment for Large Language Models via Textual Model Predictive Control](/index.php/publication/2026-04_test-time-alignment-large-language-models-textual-model-predictive-control)

Kuang-Da Wang, Teng-Ruei Chen, Yu Heng Hung, Guo-Xun Ko, Shuoyang Ding, [Frank Wang](/index.php/person/frank-wang), [Huck Yang](/index.php/person/huck-yang), Wen-Chih Peng, Ping-Chun Hsieh



[ICLR](https://openreview.net/forum?id=DsS3xRPSs5)









[RLP: Reinforcement as a Pretraining Objective](/publication/2026-04_rlp-reinforcement-pretraining-objective)

[Ali Hatamizadeh](/person/ali-hatamizadeh), Syeda Nahida Akter, Shrimai Prabhumoye, [Jan Kautz](/person/jan-kautz), Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Yejin Choi



[International Conference on Learning Representations (ICLR) 2026](https://iclr.cc/)









[Fast AI-Based Pre-Decoders for Surface Codes](/publication/2026-04_fast-ai-based-pre-decoders-surface-codes)

Christopher Chamberland, Jan Olle, Muyuan Li, Scott Thornton, Igor Baratta













[3D-GENERALIST: Vision-Language-Action Models for Crafting 3D Worlds](/index.php/publication/2026-03_3d-generalist-vision-language-action-models-crafting-3d-worlds)

Fan-Yun Sun, Shengguang Wu, Christian Jacobsen, Thomas Yim, Haoming Zou, [Alex Zook](/index.php/person/alex-zook), Shangru Li, Yu-Hsin Chou, Ethem Can, Xunlei Wu, Clemens Eppner, [Valts Blukis](/index.php/person/valts-blukis), [Jonathan Tremblay](/index.php/person/jonathan-tremblay), Jiajun Wu, [Stan Birchfield](/index.php/person/stan-birchfield), Nick Haber



[International Conference on 3D Vision 2026](https://3dvconf.github.io/2026/)









[CRoCoDiL: Continuous and Robust Conditioned Diffusion for Language](/publication/2026-03_crocodil-continuous-and-robust-conditioned-diffusion-language)

Roy Uziel, Omer Belhasin, Itay Levy, Akhiad Bercovich, Ran El-Yaniv, Ran Zilberstein, Michael Elad



[Arxiv](https://arxiv.org/abs/2603.20210)









[SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding](/publication/2026-02_speed-bench-unified-and-diverse-benchmark-speculative-decoding)

Talor Abramovich, Maor Ashkenazi, Carl Putterman, Benjamin Chislett, Tiyasa Mitra, Bita Darvish Rouhani, Ran Zilberstein, Yonatan Geifman













[Alpha-Vision: A Real-Time Always-on Vision Processor with 787µs Face Detection Latency in <5mW](/publication/2026-02_alpha-vision-real-time-always-vision-processor-787ms-face-detection-latency)

[Ben Keller](/person/ben-keller), [Rangharajan Venkatesan](/person/rangharajan-venkatesan), [Steve Dai](/person/steve-dai), [Jason Clemons](/person/jason-clemons), [Matt Fojtik](/person/matt-fojtik), [Muya Chang](/person/muya-chang), Thierry Tambe, [Nathaniel Pinckney](/person/nathaniel-pinckney), [Stephen Tell](/person/stephen-tell), [Qijing Jenny Huang](/person/qijing-jenny-huang), [Shalini De Mello](/person/shalini-de-mello), [Brucek Khailany](/person/brucek-khailany)



[ISSCC 2026](https://www.isscc.org/)









[Learn from Your Mistakes: Self-Correcting Masked Diffusion Models](/publication/2026-02_learn-your-mistakes-self-correcting-masked-diffusion-models)

Yair Schiff, Omer Belhasin, Roy Uziel, Guanghan Wang, Marianne Arriola, Gilad Turok, Michael Elad, Volodymyr Kuleshov













[iGRPO: Self-Feedback-Driven LLM Reasoning](/publication/2026-02_igrpo-self-feedback-driven-llm-reasoning)

[Ali Hatamizadeh](/person/ali-hatamizadeh), Shrimai Prabhumoye, Igor Gitman, [Ximing Lu](/person/ximing-lu), Seungju Han, Wei Ping, Yejin Choi, [Jan Kautz](/person/jan-kautz)













[Exploring Synthesizable Chemical Space with Iterative Pathway Refinements](/index.php/publication/2026-01_exploring-synthesizable-chemical-space-iterative-pathway-refinements)

Seul Lee, [Karsten Kreis](/index.php/person/karsten-kreis), Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Saee Paliwal, Weili Nie, [Arash Vahdat](/index.php/person/arash-vahdat)



[International Conference on Learning Representations (ICLR) 2026 (Oral)](https://arxiv.org/abs/2509.16084)









[Demystifying Data-Driven Probabilistic Medium-Range Weather Forecasting](/publication/2026-01_demystifying-data-driven-probabilistic-medium-range-weather-forecasting)

[Jean Kossaifi](/person/jean-kossaifi), [Nikola Kovachki](/person/nikola-kovachki), [Morteza Mardani](/person/morteza-mardani), [Daniel Leibovici](/person/daniel-leibovici), Suman Ravuri, Ira Shokar, Edoardo Calvello, Mohammad Shoaib Abbas, Peter Harrington, Ashay Subramaniam, [Noah Brenowitz](/person/noah-brenowitz), [Boris Bonev](/person/boris-bonev), [Wonmin Byeon](/person/wonmin-byeon), [Karsten Kreis](/person/karsten-kreis), [Dale Durran](/person/dale-durran), [Arash Vahdat](/person/arash-vahdat), [Mike Pritchard](/person/mike-pritchard), [Jan Kautz](/person/jan-kautz)













[La-Proteina: Atomistic Protein Generation via Partially Latent Flow Matching](/publication/2026-01_la-proteina-atomistic-protein-generation-partially-latent-flow-matching)

[Tomas Geffner](/person/tomas-geffner), [Kieran Didi](/person/kieran-didi), Zhonglin Cao, Danny Reidenbach, Zuobai Zhang, Christian Dallago, Emine Kucukbenli, [Karsten Kreis](/person/karsten-kreis), [Arash Vahdat](/person/arash-vahdat)



[International Conference on Learning Representations (ICLR) 2026](https://arxiv.org/abs/2507.09466)









[HealDA: Highlighting the importance of initial errors in end-to-end AI weather forecasts](/publication/2026-01_healda-highlighting-importance-initial-errors-end-end-ai-weather-forecasts)

Aayush Gupta, Akshay Subramaniam, Michael S. Pritchard, Karthik Kashinath, Sergey Frolov, Kelsey Lieberman, Christopher Miller, Nicholas Silverman, Noah D. Brenowitz













[Proteina-Complexa: Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute](/publication/2026-01_proteina-complexa-scaling-atomistic-protein-binder-design-generative)

[Kieran Didi](/person/kieran-didi), Zuobai Zhang, Guoqing Zhou, Danny Reidenbach, Zhonglin Cao, Sooyoung Cha, [Tomas Geffner](/person/tomas-geffner), Christian Dallago, Jian Tang, Michael M. Bronstein, Martin Steinegger, Emine Kucukbenli, [Arash Vahdat](/person/arash-vahdat), [Karsten Kreis](/person/karsten-kreis)



[International Conference on Learning Representations (ICLR) 2026 (Oral)](https://arxiv.org/abs/2603.27950)









[Learning Accurate Storm-Scale Evolution from Observations](/publication/2026-01_learning-accurate-storm-scale-evolution-observations)

[Jaideep Pathak](/person/jaideep-pathak), Mohammad Shoaib Abbas, Peter Harrington, [Zeyuan Hu](/person/zeyuan-hu), [Noah Brenowitz](/person/noah-brenowitz), Suman Ravuri, Alberto Carpentieri, Jussi Leinonen, Corey Adams, Oliver Hennigh, Nicholas Geneva, [Dale Durran](/person/dale-durran), [Mike Pritchard](/person/mike-pritchard)













### 2025 

[Play4D: Accelerated and Interactive Free-viewpoint Video Streaming for Virtual Reality and Light Field Displays](/index.php/publication/2025-12_play4d-accelerated-and-interactive-free-viewpoint-video-streaming-virtual)

[Jonghyun Kim](/index.php/person/jonghyun-kim), [Michael Stengel](/index.php/person/michael-stengel), [Amrita Mazumdar](/index.php/person/amrita-mazumdar), [Tianye Li](/index.php/person/tianye-li), [Cheng Sun](/index.php/person/cheng-sun), [David Luebke](/index.php/person/david-luebke), [Shalini De Mello](/index.php/person/shalini-de-mello)



[ACM SIGGRAPH Emerging Technologies 2025](https://sa2025.conference-schedule.org/presentation/?id=emt_131&sess=sess182)









[Beyond Behavior Cloning in Autonomous Driving: a Survey of Closed-Loop Training Techniques](/publication/2025-12_beyond-behavior-cloning-autonomous-driving-survey-closed-loop-training)

[Peter Karkus](/person/peter-karkus), [Maximilian Igl](/person/maximilian-igl), [Yuxiao Chen](/person/yuxiao-chen), Kashyap Chitta, Jef Packer, [Bertrand Douillard](/person/bertrand-douillard), [Thomas Tian](/person/thomas-tian), Alexander Naumann, Guillermo Garcia-Cobo, Shuhan Tan, [Alperen Degirmenci](/person/alperen-degirmenci), Alexander Popov, Nikolai Smolyanskiy, Urs Muller, [Boris Ivanovic](/person/boris-ivanovic), [Marco Pavone](/person/marco-pavone)













[Policy Optimized Text-to-Image Pipeline Design](/publication/2025-12_policy-optimized-text-image-pipeline-design)

Uri Gadot, Rinon Gal, Yftah Zisser, [Gal Chechik](/person/gal-chechik), [Shie Mannor](/person/shie-mannor)



[NeurIPS 2025](https://arxiv.org/abs/2505.21478)









[Generalizable Domain Adaptation for Sim-and-Real Policy Co-Training](/publication/2025-12_generalizable-domain-adaptation-sim-and-real-policy-co-training)

Shuo Cheng, Liqian Ma, Zhenyang Chen, [Ajay Mandlekar](/person/ajay-mandlekar), [Caelan Garrett](/person/caelan-garrett), [Danfei Xu](/person/danfei-xu)



[Conference on Neural Information Processing Systems (NeuRIPS)](https://arxiv.org/abs/2509.18631)









[Elucidated Rolling Diffusion Models for Probabilistic Weather Forecasting](/publication/2025-12_elucidated-rolling-diffusion-models-probabilistic-weather-forecasting)

Salva Rühling Cachay, [Miika Aittala](/person/miika-aittala), [Karsten Kreis](/person/karsten-kreis), [Noah Brenowitz](/person/noah-brenowitz), [Arash Vahdat](/person/arash-vahdat), [Morteza Mardani](/person/morteza-mardani), Rose Yu



[Neural Information Processing Systems (NeurIPS) 2025](https://arxiv.org/abs/2506.20024)









[ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning](/publication/2025-12_thinkact-vision-language-action-reasoning-reinforced-visual-latent-planning)

[Chi-Pin Huang](/person/chi-pin-huang), Yueh-Hua Wu, [Min-Hung Chen](/person/min-hung-chen), [Frank Wang](/person/frank-wang), [Fred Yang](/person/fred-yang)



[Neural Information Processing Systems (NeurIPS) 2025](https://arxiv.org/pdf/2507.16815)









[Align Your Flow: Scaling Continuous-Time Flow Map Distillation](/publication/2025-12_align-your-flow-scaling-continuous-time-flow-map-distillation)

Amirmojtaba Sabour, [Sanja Fidler](/person/sanja-fidler), [Karsten Kreis](/person/karsten-kreis)



[Neural Information Processing Systems (NeurIPS) 2025](https://arxiv.org/abs/2506.14603)









[Attention on the Sphere](/publication/2025-11_attention-sphere)

[Boris Bonev](/person/boris-bonev), Max Rietmann, Andrea Paris, Alberto Carpentieri, Thorsten Kurth



<https://neurips.cc/virtual/2025/poster/117783>









[Seeing What Matters: Generalizable AI-generated Video Detection with Forensic-Oriented Augmentation](/publication/2025-11_seeing-what-matters-generalizable-ai-generated-video-detection-forensic)

Riccardo Corvi, Davide Cozzolino, [Ekta Prashnani](/person/ekta-prashnani), [Shalini De Mello](/person/shalini-de-mello), [Koki Nagano](/person/koki-nagano), Luisa Verdoliva



[Advances in Neural Information Processing Systems (NeurIPS) 2025](https://neurips.cc/virtual/2025/loc/san-diego/poster/117010)









[Augmenting Simulated Noisy Quantum Data Collection by Orders of Magnitude Using Pre-Trajectory Sampling with Batched Execution](/publication/2025-11_augmenting-simulated-noisy-quantum-data-collection-orders-magnitude-using-pre)

[Taylor Patti](/person/taylor-patti), Thien Nguyen, Justin Lietz, Alex McCaskey, [Brucek Khailany](/person/brucek-khailany)



<https://arxiv.org/abs/2504.16297>









[Data-Driven Loss Functions for Inference-Time Optimization in Text-to-Image](/publication/2025-11_data-driven-loss-functions-inference-time-optimization-text-image)

Sapir Yflah, [Yuval Atzmon](/person/yuval-atzmon), [Gal Chechik](/person/gal-chechik)



[WACV 2026](https://arxiv.org/pdf/2509.02295)









[Alpamayo 1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail](/publication/2025-10_alpamayo-r1)

[Marco Pavone](/person/marco-pavone), Many other contributors found on Page 33













[The Reality Gap in Robotics: Challenges, Solutions, and Best Practices](/publication/2025-10_reality-gap-robotics-challenges-solutions-and-best-practices)

Elie Aljalbout, Jiaxu Xing, Angel Romero, [Iretiayo Akinola](/person/iretiayo-akinola), [Caelan Garrett](/person/caelan-garrett), Eric Heiden, Abhishek Gupta, [Tucker Hermans](/person/tucker-hermans), [Yashraj Narang](/person/yashraj-narang), Dieter Fox, Davide Scaramuzza, [Fabio Ramos](/person/fabio-ramos)



[Annual Review of Control, Robotics, and Autonomous Systems 2026](https://arxiv.org/abs/2510.20808)









[ACGD: Visual Multitask Policy Learning with Asymmetric Critic Guided Distillation](/publication/2025-10_acgd-visual-multitask-policy-learning-asymmetric-critic-guided-distillation)

Krishnan Srinivasan, [Jie Xu](/person/jie-xu), Henry Ang, Eric Heiden, Dieter Fox, Jeannette Bohg, Animesh Garg



[IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2025](https://www.iros25.org/)









[Task-Oriented Human Grasp Synthesis via Context- and Task-Aware Diffusers](/publication/2025-10_task-oriented-human-grasp-synthesis-context-and-task-aware-diffusers)

An-Lun Liu, [Yu-Wei Chao](/person/yu-wei-chao), Yi-Ting Chen



[IEEE/CVF International Conference on Computer Vision (ICCV) 2025](https://iccv.thecvf.com)









[Isaac Lab: A GPU Accelerated Simulation Framework For Multi-Modal Robot Learning](/publication/2025-09_isaac-lab-gpu-accelerated-simulation-framework-multi-modal-robot-learning)

Mayank Mittal, Kelly Guo, Gavriel State, Spencer Huang













[Neural Robot Dynamics](/index.php/publication/2025-09_neural-robot-dynamics)

[Jie Xu](/index.php/person/jie-xu), Eric Heiden, [Iretiayo Akinola](/index.php/person/iretiayo-akinola), Dieter Fox, Miles Macklin, [Yashraj Narang](/index.php/person/yashraj-narang)



[Conference on Robot Learning (CoRL) 2025](https://www.corl.org/)









[Sim2Val: Leveraging Correlation Across Test Platforms for Variance-Reduced Metric Estimation](/publication/2025-09_sim2val-leveraging-correlation-across-test-platforms-variance-reduced-metric)

[Rachel Luo](/person/rachel-luo), [Heng Yang](/person/heng-yang), [Michael Watson](/person/michael-watson), [Apoorva Sharma](/person/apoorva-sharma), [Sushant Veer](/person/sushant-veer), Edward Schmerling, [Marco Pavone](/person/marco-pavone)













[RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies](/publication/2025-09_roboarena-distributed-real-world-evaluation-generalist-robot-policies)

Pranav Atreya, Karl Pertsch, Tony Lee, Moo Jin Kim, Arhan Jain, Artur Kuramshin, Clemens Eppner, Cyrus Neary, Edward Hu, [Fabio Ramos](/person/fabio-ramos), [Jonathan Tremblay](/person/jonathan-tremblay), Kanav Arora, Kirsty Ellis, Luca Macesanu, Marcel Torne Villasevil, Matthew Leonard, Meedeum Cho, Ozgur Aslan, Shivin Dass, Jie Wang, William Reger, Xingfang Yuan, [Xuning Yang](/person/xuning-yang), Abhishek Gupta, Dinesh Jayaraman, Glen Berseth, Kostas Daniilidis, Roberto Martin-Martin, Youngwoon Lee, Percy Liang, Chelsea Finn, Sergey Levine



[CoRL 2025](https://arxiv.org/abs/2506.18123)









[Learning to Plan &amp; Schedule with Reinforcement-Learned Bimanual Robot Skills](/publication/2025-09_learning-plan-schedule-reinforcement-learned-bimanual-robot-skills)

Weikang Wan, [Fabio Ramos](/person/fabio-ramos), [Xuning Yang](/person/xuning-yang), [Caelan Garrett](/person/caelan-garrett)



[CoRL 2025 Workshop on Learning Effective Abstractions for Planning (LEAP)](https://openreview.net/forum?id=HoyzrI5xD8)









[ReinforceGen: Hybrid Skill Policies with Automated Data Generation and Reinforcement Learning](/index.php/publication/2025-09_reinforcegen-hybrid-skill-policies-automated-data-generation-and-reinforcement)

Zihan Zhou, Animesh Garg, [Ajay Mandlekar](/index.php/person/ajay-mandlekar), [Caelan Garrett](/index.php/person/caelan-garrett)



[OpenReview](https://openreview.net/forum?id=fHKbqw5ZND)









[FVDebug: An LLM-Driven Debugging Assistant for Automated Root Cause Analysis of Formal Verification Failures](/publication/2025-09_fvdebug-llm-driven-debugging-assistant-automated-root-cause-analysis-formal)

[Yunsheng Bai](/person/yunsheng-bai), Ghaith Bany Hamad, [Chia-Tung (Mark) Ho](/person/chia-tung-mark-ho), Syed Suhaib, Mark Haoxing Ren













[Huge ensembles–Part 1: Design of ensemble weather forecasts using spherical Fourier neural operators](/publication/2025-09_huge-ensembles-part-1-design-ensemble-weather-forecasts-using-spherical-fourier)

Ankur Mahesh, William D. Collins, [Boris Bonev](/person/boris-bonev), [Noah Brenowitz](/person/noah-brenowitz), Yair Cohen, Joshua Elms, Peter Harrington, Karthik Kashinath, Thorsten Kurth, Joshua North, Travis O'Brian, [Mike Pritchard](/person/mike-pritchard), David Pruitt, Mark Risser, Shashank Subramanian, Jared Willard



[GMD Publication](https://gmd.copernicus.org/articles/18/5575/2025/)









[Huge ensembles – Part 2: Properties of a huge ensemble of hindcasts generated with spherical Fourier neural operators](/index.php/publication/2025-09_huge-ensembles-part-2-properties-huge-ensemble-hindcasts-generated-spherical)

Ankur Mahesh, William D. Collins, [Boris Bonev](/index.php/person/boris-bonev), [Noah Brenowitz](/index.php/person/noah-brenowitz), Yair Cohen, Peter Harrington, Karthik Kashinath, Thorsten Kurth, Joshua North, Travis O'Brian, [Mike Pritchard](/index.php/person/mike-pritchard), David Pruitt, Mark Risser, Shashank Subramanian, Jared Willard



[GMD Publication](https://gmd.copernicus.org/articles/18/5605/2025/)









[Real-time 3D Visualization of Radiance Fields on Light Field Displays](/publication/2025-08_real-time-3d-visualization-radiance-fields-light-field-displays)

[Jonghyun Kim](/person/jonghyun-kim), [Cheng Sun](/person/cheng-sun), [Michael Stengel](/person/michael-stengel), Matthew Chan, Andrew Russell, Jaehyun Jung, Wil Braithewaite, [Shalini De Mello](/person/shalini-de-mello), [David Luebke](/person/david-luebke)



[ArXiv](https://arxiv.org/abs/2508.18540)









[VoiceNoNG: Robust High-Quality Speech Editing Model without Hallucinations](/publication/2025-08_voicenong-robust-high-quality-speech-editing-model-without-hallucinations)

[Sung-Feng Huang](/person/sung-feng-huang), Heng-Cheng Kuo, Zhehuai Chen, Xuesong Yang, Pin-Jui Ku, Ante Jukić, [Huck Yang](/person/huck-yang), Yu Tsao, [Frank Wang](/person/frank-wang), Hung-yi Lee, [Szu-Wei Fu](/person/szu-wei-fu)



[Interspeech 2025](https://www.interspeech2025.org/home)









[GEN3C: 3D-Informed World-Consistent Video Generation with Precise Camera Control](/publication/2025-08_gen3c-3d-informed-world-consistent-video-generation-precise-camera-control)

Xuanchi Ren, Tianchang Shen, Jiahui Huang, Huan Ling, Yifan Lu, [Merlin Nimier-David](/person/merlin-nimier-david), [Thomas Müller](/person/thomas-muller), [Alex Keller](/person/alex-keller), [Sanja Fidler](/person/sanja-fidler), Jun Gao



[CVPR 2025](https://ieeexplore.ieee.org/document/11092782)









[GAIA: Generative Animatable Interactive Avatars with Expression-conditioned Gaussians](/publication/2025-08_gaia-generative-animatable-interactive-avatars-expression-conditioned-gaussians)

Zhengming Yu, [Tianye Li](/person/tianye-li), Jingxiang Sun, [Omer Shapira](/person/omer-shapira), [Seonwook Park](/person/seonwook-park), [Michael Stengel](/person/michael-stengel), Matthew Chan, Xin Li, Wenping Wang, [Koki Nagano](/person/koki-nagano), [Shalini De Mello](/person/shalini-de-mello)



[ACM SIGGRAPH 2025](https://dl.acm.org/doi/10.1145/3721238.3730737)









[Assessing Learned Models for Phase-only Hologram Compression](/publication/2025-08_assessing-learned-models-phase-only-hologram-compression)

Zicong Peng, Yicheng Zhan, [Josef Spjut](/person/josef-spjut), Kaan Akşit



[SIGGRAPH 2025 Posters](https://dl.acm.org/doi/10.1145/3721250.3742993)









[Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models](/publication/2025-08_fly-fail-fix-iterative-game-repair-reinforcement-learning-and-large-multimodal)

[Alex Zook](/person/alex-zook), [Josef Spjut](/person/josef-spjut), [Jonathan Tremblay](/person/jonathan-tremblay)



[Reinforcement Learning and Video Games Workshop @ RLC 2025](https://sites.google.com/view/rlvg-workshop-2025/home)









[Generative Detail Enhancement for Physically Based Materials](/publication/2025-07_generative-detail-enhancement-physically-based-materials)

Saeed Hadadan, [Benedikt Bitterli](/person/benedikt-bitterli), [Tizian Zeltner](/person/tizian-zeltner), [Jan Novák](/person/jan-novak), [Fabrice Rousselle](/person/fabrice-rousselle), [Jacob Munkberg](/person/jacob-munkberg), [Jon Hasselgren](/person/jon-hasselgren), [Bart Wronski](/person/bart-wronski), Matthias Zwicker



[SIGGRAPH 2025](https://s2025.siggraph.org/)









[Identity-Motion Trade-offs in Text-to-Video Generation](/publication/2025-07_identity-motion-trade-offs-text-video-generation)

[Yuval Atzmon](/person/yuval-atzmon), Rinon Gal, [Yoad Tewel](/person/yoad-tewel), [Yoni Kasten](/person/yoni-kasten), [Gal Chechik](/person/gal-chechik)



[BMVC 2025](https://bmvc2025.bmva.org/proceedings/159/)









[FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale](/publication/2025-07_fourcastnet-3-geometric-approach-probabilistic-machine-learning-weather)

[Boris Bonev](/person/boris-bonev), Thorsten Kurth, Ankur Mahesh, Mauro Bisson, [Jean Kossaifi](/person/jean-kossaifi), Karthik Kashinath, Anima Anandkumar, William D. Collins, [Mike Pritchard](/person/mike-pritchard), [Alex Keller](/person/alex-keller)













[GenMol: A Drug Discovery Generalist with Discrete Diffusion](/publication/2025-07_genmol-drug-discovery-generalist-discrete-diffusion)

Seul Lee, [Karsten Kreis](/person/karsten-kreis), Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Yuxing Peng, Saee Paliwal, Weili Nie, [Arash Vahdat](/person/arash-vahdat)



[International Conference on Machine Learning (ICML) 2025](https://arxiv.org/abs/2501.06158)









[Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow](/publication/2025-07_efficient-molecular-conformer-generation-so3-averaged-flow-matching-and-reflow)

Zhonglin Cao, Mario Geiger, Allan Dos Santos Costa, Danny Reidenbach, [Karsten Kreis](/person/karsten-kreis), [Tomas Geffner](/person/tomas-geffner), Franco Pellegrini, Guoqing Zhou, Emine Kucukbenli



[International Conference on Machine Learning (ICML) 2025](https://arxiv.org/abs/2507.09785)









[Helix Parallelism: Rethinking Sharding Strategies for Interactive Multi-Million-Token LLM Decoding](/publication/2025-07_helix-parallelism-rethinking-sharding-strategies-interactive-multi-million)

Nidhi Bhatia, Ankit More, Ritika Borkar, Tiyasa Mitra, Ramon Matas, Ritchie Zhao, Maximilian Golub, Dheevatsa Mudigere, Brian Pharris, Bita Darvish Rouhani 













[Score-based Diffusion Models in Function Space](/publication/2025-07_score-based-diffusion-models-function-space)

Jae Hyun Lim, [Nikola Kovachki](/person/nikola-kovachki), Ricardo Baptista, Christopher Beckham, Kamyar Azizzadenesheli, [Jean Kossaifi](/person/jean-kossaifi), Vikram Voleti, Jiaming Song, [Karsten Kreis](/person/karsten-kreis), [Jan Kautz](/person/jan-kautz), Christopher Pal, [Arash Vahdat](/person/arash-vahdat), Anima Anandkumar



[Journal of Machine Learning Research (JMLR) 2025](https://arxiv.org/abs/2302.07400)









[Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems](/publication/2025-06_spec2rtl-agent-automated-hardware-code-generation-complex-specifications-using)

[Zhongzhi Yu](/person/zhongzhi-yu), [Mingjie Liu](/person/mingjie-liu), Michael Zimmer, Yingyan (Celine) Lin, Yong Liu, Mark Haoxing Ren



[IEEE International Conference on LLM-Aided Design, 2025](https://iclad.ai/)









[AssertionForge: Enhancing Formal Verification Assertion Generation with Structured Representation of Specifications and RTL](/publication/2025-06_assertionforge-enhancing-formal-verification-assertion-generation-structured)

[Yunsheng Bai](/person/yunsheng-bai), Ghaith Bany Hamad, Syed Suhaib, Mark Haoxing Ren













[Robot policy evaluation for sim-to-real transfer: A benchmarking perspective](/publication/2025-06_robot-policy-evaluation-sim-real-transfer-benchmarking-perspective)

[Xuning Yang](/person/xuning-yang), Clemens Eppner, [Jonathan Tremblay](/person/jonathan-tremblay), Dieter Fox, [Stan Birchfield](/person/stan-birchfield), [Fabio Ramos](/person/fabio-ramos)



[RSS 2025 Workshop on Robot Evaluations](https://sites.google.com/stanford.edu/robot-evaluation-rss-2025/home)









[Towards a VLM Benchmark for Simulated Robotics](/publication/2025-06_towards-vlm-benchmark-simulated-robotics)

[Xuning Yang](/person/xuning-yang), Clemens Eppner, [Valts Blukis](/person/valts-blukis), [Peter Belcak](/person/peter-belcak), [Stephen Tyree](/person/stephen-tyree), [Stan Birchfield](/person/stan-birchfield), [Fabio Ramos](/person/fabio-ramos), [Jonathan Tremblay](/person/jonathan-tremblay)



[RSS 2025 Workshop on Large Foundation Models for Interactive Robot Learning](https://lfmrss2025.weebly.com/)









[Adapting to the Unknown: Training-Free Audio-Visual Event Perception with Dynamic Thresholds](/publication/2025-06_adapting-unknown-training-free-audio-visual-event-perception-dynamic-thresholds)

Eitan Shaar, Ariel Shaulov, [Gal Chechik](/person/gal-chechik), Lior Wolf



[CVPR 2025](https://cvpr.thecvf.com/virtual/2025/poster/34008)









[TriTex: Learning Texture from a Single Mesh via Triplane Semantic Features](/publication/2025-06_tritex-learning-texture-single-mesh-triplane-semantic-features)

Dana Cohen-Bar, Daniel Cohen-Or, [Gal Chechik](/person/gal-chechik), [Yoni Kasten](/person/yoni-kasten)



[CVPR 2025](https://cvpr.thecvf.com/virtual/2025/poster/34561)









[RL-RC-DoT: A Block-level RL agent for Task-Aware Video Compression](/publication/2025-06_rl-rc-dot-block-level-rl-agent-task-aware-video-compression)

Uri Gadot, Assaf Shocher, [Shie Mannor](/person/shie-mannor), [Gal Chechik](/person/gal-chechik), [Assaf Hallak](/person/assaf-hallak)



[CVPR 2025](https://openaccess.thecvf.com/content/CVPR2025/papers/Gadot_RL-RC-DoT_A_Block-level_RL_agent_for_Task-Aware_Video_Compression_CVPR_2025_paper.pdf)









[Make It Count: Text-to-Image Generation with an Accurate Number of Objects](/publication/2025-06_make-it-count-text-image-generation-accurate-number-objects)

Lital Binyamin, [Yoad Tewel](/person/yoad-tewel), Eran Hirsch, Royi Rassin, [Gal Chechik](/person/gal-chechik)



[CVPR 2025](https://openaccess.thecvf.com/content/CVPR2025/papers/Binyamin_Make_It_Count_Text-to-Image_Generation_with_an_Accurate_Number_of_CVPR_2025_paper.pdf)









[SimAvatar: Simulation-Ready Clothed Gaussian Avatars from Text](/publication/2025-06_simavatar-simulation-ready-clothed-gaussian-avatars-text)

[Xueting Li](/person/xueting-li), [Ye Yuan](/person/ye-yuan), [Shalini De Mello](/person/shalini-de-mello), Gilles Daviet, Jonathan Leaf, Miles Macklin, [Jan Kautz](/person/jan-kautz), [Umar Iqbal](/person/umar-iqbal)



[IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2025](https://openaccess.thecvf.com/content/CVPR2025/papers/Li_SimAvatar_Simulation-Ready_Avatars_with_Layered_Hair_and_Clothing_CVPR_2025_paper.pdf)









[Coherent 3D Portrait Video Reconstruction via Triplane Fusion](/publication/2025-06_coherent-3d-portrait-video-reconstruction-triplane-fusion)

Shengze Wang, [Xueting Li](/person/xueting-li), [Chao Liu](/person/chao-liu), Matthew Chan, [Michael Stengel](/person/michael-stengel), Henry Fuchs, [Shalini De Mello](/person/shalini-de-mello), [Koki Nagano](/person/koki-nagano)



[IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2025](https://openaccess.thecvf.com/content/CVPR2025/papers/Wang_Coherent_3D_Portrait_Video_Reconstruction_via_Triplane_Fusion_CVPR_2025_paper.pdf)









[BLADE: Single-view Body Mesh Estimation through Accurate Depth Estimation](/publication/2025-06_blade-single-view-body-mesh-estimation-through-accurate-depth-estimation)

Shengze Wang, [Jiefeng Li](/person/jiefeng-li), [Tianye Li](/person/tianye-li), [Ye Yuan](/person/ye-yuan), Henry Fuchs, [Koki Nagano](/person/koki-nagano), [Shalini De Mello](/person/shalini-de-mello), [Michael Stengel](/person/michael-stengel)



[IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2025](https://openaccess.thecvf.com/content/CVPR2025/papers/Wang_BLADE_Single-view_Body_Mesh_Estimation_through_Accurate_Depth_Estimation_CVPR_2025_paper.pdf)









[GRS: Generating robotic simulation tasks from real-world images](/publication/2025-06_grs-generating-robotic-simulation-tasks-real-world-images-0)

[Alex Zook](/person/alex-zook), [Josef Spjut](/person/josef-spjut), [Jonathan Tremblay](/person/jonathan-tremblay)



[CVPR 2025](https://cvpr.thecvf.com/Conferences/2025)









[MambaVision: A Hybrid Mamba-Transformer Vision Backbone](/publication/2025-06_mambavision-hybrid-mamba-transformer-vision-backbone)

Ali Hatamizadeh , [Jan Kautz](/person/jan-kautz)



[The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025](https://cvpr.thecvf.com/)









[Marco: Configurable Graph-Based Task Solving and Multi-AI Agents Framework for Hardware Design](/publication/2025-06_marco-configurable-graph-based-task-solving-and-multi-ai-agents-framework)

[Chia-Tung (Mark) Ho](/person/chia-tung-mark-ho), Jing Gong, [Yunsheng Bai](/person/yunsheng-bai), [Chenhui Deng](/person/chenhui-deng), Mark Haoxing Ren, [Brucek Khailany](/person/brucek-khailany)













[Beyond the Buzz: A Pragmatic Take on Inference Disaggregation](/publication/2025-06_beyond-buzz-pragmatic-take-inference-disaggregation)

Tiyasa Mitra, Ritika Borkar, Nidhi Bhatia, Ramon Matas, Shivam Raj, Dheevatsa Mudigere, Ritchie Zhao, Maximilian Golub, Arpan Dutta, Sailaja Madduri, Dharmesh Jani, Brian Pharris, Bita Darvish Rouhani 



[Arxiv](https://arxiv.org/abs/2506.05508)









[SLIM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression](/publication/2025-06_slim-one-shot-quantization-and-sparsity-low-rank-approximation-llm-weight)

Mohammad Mozaffari , Amir Yazdanbakhsh, [Maryam Mehri Dehnavi](/person/maryam-mehri-dehnavi)



[ICML 2025](https://icml.cc/virtual/2025/poster/46479)









[Design of a Standard-Compliant Real-Time Neural Receiver for 5G NR](/index.php/publication/2025-05_design-standard-compliant-real-time-neural-receiver-5g-nr)

Reinhard Wiesmayr, [Sebastian Cammerer](/index.php/person/sebastian-cammerer), [Fayçal Aït Aoudia ](/index.php/person/faycal-ait-aoudia), [Jakob Hoydis](/index.php/person/jakob-hoydis), Jakub Zakrzewski, [Alex Keller](/index.php/person/alex-keller)



[IEEE International Conference on Machine Learning for Communication and Network…](https://ieeexplore.ieee.org/abstract/document/11140048)









[AI 3D Selfie: Real-Time Single-Image 3D Face Reconstruction for Light-Field Displays](/publication/2025-05_ai-3d-selfie-real-time-single-image-3d-face-reconstruction-light-field-displays)

[Jonghyun Kim](/person/jonghyun-kim), [Michael Stengel](/person/michael-stengel), Matthew Chan, [Koki Nagano](/person/koki-nagano), [Shalini De Mello](/person/shalini-de-mello), [David Luebke](/person/david-luebke)



[The Society of Information Display (SID) 2025](https://sid.onlinelibrary.wiley.com/doi/abs/10.1002/sdtp.18377)









[Score Distillation Sampling for Audio: Source Separation, Synthesis, and Beyond](/publication/2025-05_score-distillation-sampling-audio-source-separation-synthesis-and-beyond)

Jessie Richter-Powell, Antonio Torralba, Jonathan Lorraine



[Arxiv](https://arxiv.org/pdf/2505.04621)









[Latent Action Pretraining from Videos](/publication/2025-04_latent-action-pretraining-videos)

Seonghyeon Ye, Joel Jang, Byeongguk Jeon, Sejune Joo, Jianwei Yang, Baolin Peng, [Ajay Mandlekar](/person/ajay-mandlekar), Reuben Tan, [Yu-Wei Chao](/person/yu-wei-chao), Yuchen Lin, Lars Liden, Kimin Lee, Jianfeng Gao, Luke Zettlemoyer, Dieter Fox, Minjoon Seo



[International Conference on Learning Representations (ICLR) 2025](https://iclr.cc/Conferences/2025)









[LongVILA: Scaling Long-Context Visual Language Models for Long Videos](/index.php/publication/2025-04_longvila-scaling-long-context-visual-language-models-long-videos)

[Yukang Chen](/index.php/person/yukang-chen), Fuzhao Xue, Dacheng Li, Qinghao Hu, [Ligeng Zhu](/index.php/person/ligeng-zhu), Xiuyu Li, Yunhao Fang, Haotian Tang, Shang Yang, Zhijian Liu, Ethan He, Hongxu Yin, [Pavlo Molchanov](/index.php/person/pavlo-molchanov), [Jan Kautz](/index.php/person/jan-kautz), Linxi Fan, [Yuke Zhu](/index.php/person/yuke-zhu), Yao Lu (Jason), [Song Han](/index.php/person/song-han)



<https://openreview.net/forum?id=wCXAlfvCy6>









[Hymba: A Hybrid-head Architecture for Small Language Models](/publication/2025-04_hymba-hybrid-head-architecture-small-language-models)

Xin Dong, [Yonggan Fu\*](/person/yonggan-fu), Shizhe Diao, [Wonmin Byeon](/person/wonmin-byeon), Zijia Chen, Ameya Sunil Mahabaleshwarkar, Shih-Yang Liu, [Matthijs Van keirsbilck](/person/matthijs-van-keirsbilck), [Min-Hung Chen](/person/min-hung-chen), [Yoshi Nishi](/person/yoshi-nishi), Yingyan Celine Lin, [Jan Kautz](/person/jan-kautz), [Pavlo Molchanov](/person/pavlo-molchanov)



[Hymba - ICLR 2025](https://jankautz.com/publications/Hymba_ICLR25.pdf)



ICLR spotlight paper





[Gated Delta Networks: Improving Mamba2 with Delta Rule](/publication/2025-04_gated-delta-networks-improving-mamba2-delta-rule)

Songlin Yang, [Jan Kautz](/person/jan-kautz), [Ali Hatamizadeh](/person/ali-hatamizadeh)



[International Conference on Learning Representations (ICLR) 2025](https://iclr.cc/)









[Audio Large Language Models Can Be Descriptive Speech Quality Evaluators](/publication/2025-04_audio-large-language-models-can-be-descriptive-speech-quality-evaluators)

Chen Chen, Yuchen Hu, Siyin Wang, Helin Wang, Zhehuai Chen, Chao Zhang, [Huck Yang](/person/huck-yang), EngSiong Chng



[ICLR 2025](https://openreview.net/forum?id=U42TkrEDzb)









[Minitron-SSM: Efficient Hybrid Language Model Compression through Group-Aware SSM Pruning](/index.php/publication/2025-04_minitron-ssm-efficient-hybrid-language-model-compression-through-group-aware)

Ali Taghibakhshi, Sharath Turuvekere Sreenivas, [Saurav Muralidharan](/index.php/person/saurav-muralidharan), Marcin Chochowski, Yashaswi Karnati, Raviraj Joshi, Ameya Sunil Mahabaleshwarkar, Zijia Chen, Yoshi Suhara, Oluwatobi Olabiyi, Daniel Korzekwa, Mostofa Patwary, Mohammad Shoeybi, [Jan Kautz](/index.php/person/jan-kautz), Bryan Catanzaro, Ashwath Aithal, Nima Tajbakhsh, [Pavlo Molchanov](/index.php/person/pavlo-molchanov)



[NeurIPS 2025](https://arxiv.org/abs/2504.11409)









[Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models, ](/publication/2025-04_lightning-fast-image-inversion-and-editing-text-image-diffusion-models)

Dvir Samuel, Barak Meiri, [Haggai Maron](/person/haggai-maron), [Yoad Tewel](/person/yoad-tewel), Nir Darshan, Shai Avidan, [Gal Chechik](/person/gal-chechik), Rami Ben-Ari



[ICLR 2025](https://iclr.cc/virtual/2025/poster/28072)









[Add-it: Training-Free Object Insertion in Images via Pretrained Diffusion Models](/publication/2025-04_add-it-training-free-object-insertion-images-pretrained-diffusion-models)

[Yoad Tewel](/person/yoad-tewel), Rinon Gal, Dvir Samuel, [Yuval Atzmon](/person/yuval-atzmon), Lior Wolf, [Gal Chechik](/person/gal-chechik)



[ICLR 2025](https://iclr.cc/virtual/2025/poster/29207)









[Towards Neural Scaling Laws for Time Series Foundation Models](/index.php/publication/2025-04_towards-neural-scaling-laws-time-series-foundation-models)

Qingren Yao, [Huck Yang](/index.php/person/huck-yang), Renhe Jiang, Ming Jin, Shirui Pan



[ICLR 2025](https://openreview.net/forum?id=uCqxDfLYrB)









[Aim My Robot: Precision Local Navigation to Any Object](/publication/2025-04_aim-my-robot-precision-local-navigation-any-object)

Xiangyun Meng, [Xuning Yang](/person/xuning-yang), Sanghun Jung, [Fabio Ramos](/person/fabio-ramos), Sri Sadhan Jujjavarapu, Sanjoy Paul, Dieter Fox



[IEEE Robotics and Automation Letters (R-AL)](https://ieeexplore.ieee.org/document/10887329)









[NVIDIA Isaac GR00T N1: An Open Foundation Model for Humanoid Robots](/publication/2025-03_nvidia-isaac-gr00t-n1-open-foundation-model-humanoid-robots)

[Yuke Zhu](/person/yuke-zhu), [Linxi "Jim" Fan](/person/linxi-jim-fan), NVIDIA GEAR Team













[Multi-student Diffusion Distillation for Better One-step Generators](/publication/2025-03_multi-student-diffusion-distillation-better-one-step-generators)

Yanke Song, Jonathan Lorraine, Weili Nie, [Karsten Kreis](/person/karsten-kreis), James Lucas 



[Arxiv](https://arxiv.org/pdf/2410.23274)









[LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models](/publication/2025-03_llama-mesh-unifying-3d-mesh-generation-language-models)

Zhengyi Wang, Jonathan Lorraine, Yikai Wang, Hang Su, Jun Zhu, Sanja Fidler, Xiaohui Zeng



[Arxiv](https://arxiv.org/pdf/2411.09595)









[Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation](/index.php/publication/2025-02_semantic-prompt-learning-weakly-supervised-semantic-segmentation)

Ci-Siang Lin, Chien-Yi Wang, [Frank Wang](/index.php/person/frank-wang), [Min-Hung Chen](/index.php/person/min-hung-chen)



[Winter Conference on Applications of Computer Vision (WACV)](https://wacv2025.thecvf.com/)









[CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models](/publication/2025-02_corrfill-enhancing-faithfulness-reference-based-inpainting-correspondence)

Kuan-Hung Liu, Cheng-Kun Yang, [Min-Hung Chen](/person/min-hung-chen), Yu-Lun Liu, Yen-Yu Lin



[Winter Conference on Applications of Computer Vision (WACV)](https://wacv2025.thecvf.com/)









[Spatio-Temporal Context Prompting for Zero-Shot Action Detection](/publication/2025-02_spatio-temporal-context-prompting-zero-shot-action-detection)

Wei-Jhe Huang, [Min-Hung Chen](/person/min-hung-chen), Shang-Hong Lai



[Winter Conference on Applications of Computer Vision (WACV)](https://wacv2025.thecvf.com/)









[SoftTreeMax: Policy Gradient via tree expansion ](/publication/2025-02_softtreemax-policy-gradient-tree-expansion)

[Gal Dalal](/person/gal-dalal), [Assaf Hallak](/person/assaf-hallak), Gugan Thoppe, [Shie Mannor](/person/shie-mannor), [Gal Chechik](/person/gal-chechik)



[ICML 2025](https://icml.cc/virtual/2025/poster/43515)









[eXtended Reality and Artificial Intelligence in Medicine and Rehabilitation](/publication/2025-01_extended-reality-and-artificial-intelligence-medicine-and-rehabilitation)

Tomas Krilavičius, Lucio Tommaso De Paolis, Valerio De Luca, [Josef Spjut](/person/josef-spjut)



[Information Systems Frontiers](https://link.springer.com/journal/10796)









[scene\_synthesizer: A Python Library for Procedural Scene Generation in Robot Manipulation](/publication/2025-01_scenesynthesizer-python-library-procedural-scene-generation-robot-manipulation)

Clemens Eppner, [Adithya Murali](/person/adithya-murali), [Caelan Garrett](/person/caelan-garrett), [Rowland O'Flaherty](/person/rowland-oflaherty), [Tucker Hermans](/person/tucker-hermans), [Wei Yang](/person/wei-yang), Dieter Fox



[The Journal of Open Source Software (JOSS)](https://joss.theoj.org/)









[Energy-Based Diffusion Language Models for Text Generation](/publication/2025-01_energy-based-diffusion-language-models-text-generation)

Minkai Xu, [Tomas Geffner](/person/tomas-geffner), [Karsten Kreis](/person/karsten-kreis), Weili Nie, Yilun Xu, Jure Leskovec, Stefano Ermon, [Arash Vahdat](/person/arash-vahdat)



[International Conference on Learning Representations (ICLR) 2025](https://arxiv.org/abs/2410.21357)









[ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids](/publication/2025-01_protcomposer-compositional-protein-structure-generation-3d-ellipsoids)

Hannes Stark, Bowen Jing, [Tomas Geffner](/person/tomas-geffner), Jason Yim, Tommi Jaakkola, [Arash Vahdat](/person/arash-vahdat), [Karsten Kreis](/person/karsten-kreis)



[International Conference on Learning Representations (ICLR) 2025 (Oral)](https://arxiv.org/abs/2503.05025)









[Truncated Consistency Models](/publication/2025-01_truncated-consistency-models)

Sangyun Lee, Yilun Xu, [Tomas Geffner](/person/tomas-geffner), Giulia Fanti, [Karsten Kreis](/person/karsten-kreis), [Arash Vahdat](/person/arash-vahdat), Weili Nie



[International Conference on Learning Representations (ICLR) 2025](https://arxiv.org/abs/2410.14895)









[Proteina: Scaling Flow-based Protein Structure Generative Models](/publication/2025-01_proteina-scaling-flow-based-protein-structure-generative-models)

[Tomas Geffner](/person/tomas-geffner), [Kieran Didi](/person/kieran-didi), Zuobai Zhang, Danny Reidenbach, Zhonglin Cao, Jason Yim, Mario Geiger, Christian Dallago, Emine Kucukbenli, [Arash Vahdat](/person/arash-vahdat), [Karsten Kreis](/person/karsten-kreis)



[International Conference on Learning Representations (ICLR) 2025 (Oral)](https://arxiv.org/abs/2503.00710)









[Directed Graph Generation with Heat Kernels](/publication/2025-01_directed-graph-generation-heat-kernels)

Marc T. Law, [Karsten Kreis](/person/karsten-kreis), [Haggai Maron](/person/haggai-maron)



[Transactions on Machine Learning Research (TMLR) 2025](https://openreview.net/forum?id=60Gi1w6hte)









[Cosmos World Foundation Model Platform for Physical AI](/publication/2025-01_cosmos-world-foundation-model-platform-physical-ai)

[Ming-Yu Liu](/person/ming-yu-liu), Many other contributors at https://d1qx31qr3h6wln.cloudfront.net/publications/NVIDIA%20Cosmos_4.pdf, [Jing Zhang](/person/jing-zhang)













### 2024 

[Pretraining codomain attention neural operators for solving multiphysics pdes](/publication/2024-12_pretraining-codomain-attention-neural-operators-solving-multiphysics-pdes)

Md Ashiqur Rahman, Robert Joseph George, Mogab Elleithy, Daniel Leibovici, Zongyi Li, [Boris Bonev](/person/boris-bonev), Colin White, Julius Berner, Raymond A. Yeh, [Jean Kossaifi](/person/jean-kossaifi), Kamyar Azizzadenesheli, Anima Anandkumar



[NeurIPS Proceedings](https://proceedings.neurips.cc/paper_files/paper/2024/hash/bc75fa9843a7905bbed9d83895a88f7f-Abstract-Conference.html)









[Molecule Generation with Fragment Retrieval Augmentation](/publication/2024-12_molecule-generation-fragment-retrieval-augmentation)

Seul Lee, [Karsten Kreis](/person/karsten-kreis), Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Saee Paliwal, [Arash Vahdat](/person/arash-vahdat), Weili Nie



[Neural Information Processing Systems (NeurIPS) 2024](https://arxiv.org/abs/2411.12078)









[FactorSim: Generative Simulation via Factorized Representation](/publication/2024-12_factorsim-generative-simulation-factorized-representation)

Fan-Yun Sun, S. I. Harini, Angela Yi, Yihan Zhou, [Alex Zook](/person/alex-zook), [Jonathan Tremblay](/person/jonathan-tremblay), Logan Cross, Jiajun Wu, Nick Haber



[NeurIPS 2024](https://neurips.cc/Conferences/2024)









[Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization](/publication/2024-12_aligning-target-aware-molecule-diffusion-models-exact-energy-optimization)

Siyi Gu, Minkai Xu, Alexander Powers, Weili Nie, [Tomas Geffner](/person/tomas-geffner), [Karsten Kreis](/person/karsten-kreis), Jure Leskovec, [Arash Vahdat](/person/arash-vahdat), Stefano Ermon



[Neural Information Processing Systems (NeurIPS) 2024](https://arxiv.org/abs/2407.01648)









[CosAE: Learnable Fourier Series for Image Restoration](/publication/2024-12_cosae-learnable-fourier-series-image-restoration)

[Sifei Liu](/person/sifei-liu), [Shalini De Mello](/person/shalini-de-mello), [Jan Kautz](/person/jan-kautz)



[Advances in Neural Information Processing Systems (NeurIPS) 2024](https://proceedings.neurips.cc/paper_files/paper/2024/file/13e8be77982beb73d7ed0bbf122f9f3c-Paper-Conference.pdf)









[Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models](/publication/2024-12_warped-diffusion-solving-video-inverse-problems-image-diffusion-models)

Giannis Daras, Weili Nie, [Karsten Kreis](/person/karsten-kreis), Alexandros G. Dimakis, [Morteza Mardani](/person/morteza-mardani), [Nikola Kovachki](/person/nikola-kovachki), [Arash Vahdat](/person/arash-vahdat)



[Neural Information Processing Systems (NeurIPS) 2024](https://arxiv.org/abs/2410.16152)









[QUEEN: QUantized Efficient ENcoding for Streaming Free-viewpoint Videos](/publication/2024-12_queen-quantized-efficient-encoding-streaming-free-viewpoint-videos)

Sharath Girish, [Tianye Li](/person/tianye-li), [Amrita Mazumdar](/person/amrita-mazumdar), Abhinav Shrivastava, [David Luebke](/person/david-luebke), [Shalini De Mello](/person/shalini-de-mello)



[Advances in Neural Information Processing Systems (NeurIPS) 2024](https://proceedings.neurips.cc/paper_files/paper/2024/hash/4c9477b9e2c7ec0ad3f4f15077aaf85a-Abstract-Conference.html)









[L4GM: Large 4D Gaussian Reconstruction Model](/publication/2024-12_l4gm-large-4d-gaussian-reconstruction-model)

Jiawei Ren, Kevin Xie, Ashkan Mirzaei, Hanxue Liang, Xiaohui Zeng, [Karsten Kreis](/person/karsten-kreis), Ziwei Liu, Antonio Torralba, Sanja Fidler, Seung Wook Kim, Huan Ling



[Neural Information Processing Systems (NeurIPS) 2024](https://arxiv.org/abs/2406.10324)









[Diffusion-Reward Adversarial Imitation Learning](/publication/2024-12_diffusion-reward-adversarial-imitation-learning)

Chun-Mao Lai, Hsiang-Chun Wang, Ping-Chun Hsieh, [Frank Wang](/person/frank-wang), [Min-Hung Chen](/person/min-hung-chen), Shao-Hua Sun



[Neural Information Processing Systems (NeurIPS)](https://neurips.cc/Conferences/2024)









[MaskedMimic: Unified Physics-Based Character Control Through Masked Motion Inpainting](/publication/2024-12_maskedmimic-unified-physics-based-character-control-through-masked-motion)

[Chen Tessler](/person/chen-tessler), Kelly Guo, Ofir Nabati, [Gal Chechik](/person/gal-chechik), Jason Peng



[SIGGRAPH Asia 2024](https://research.nvidia.com/labs/par/maskedmimic/)









[Detecting the Undetectable: Assessing the Efficacy of Current Spoof Detection Methods Against Seamless Speech Edits](/publication/2024-12_detecting-undetectable-assessing-efficacy-current-spoof-detection-methods)

[Sung-Feng Huang](/person/sung-feng-huang), Heng-Cheng Kuo, Zhehuai Chen, Xuesong Yang, [Huck Yang](/person/huck-yang), Yu Tsao, [Frank Wang](/person/frank-wang), Hung-yi Lee, [Szu-Wei Fu](/person/szu-wei-fu)



[IEEE SLT 2024](https://2024.ieeeslt.org/)









[DRC-Coder: Automated DRC Checker Code Generation Using LLM Autonomous Agent](/publication/2024-11_drc-coder-automated-drc-checker-code-generation-using-llm-autonomous-agent)

Chen-Chia Chang, [Chia-Tung (Mark) Ho](/person/chia-tung-mark-ho), Yaguang Li, Yiran Chen, Mark Haoxing Ren



[arXiv](https://arxiv.org/abs/2412.05311)









[Differentiable GPU-Parallelized Task and Motion Planning](/publication/2024-11_differentiable-gpu-parallelized-task-and-motion-planning)

William Shen, [Caelan Garrett](/person/caelan-garrett), Nishanth Kumar, [Ankit Goyal](/person/ankit-goyal), [Tucker Hermans](/person/tucker-hermans), Leslie Pack Kaelbling, Tomás Lozano-Pérez, [Fabio Ramos](/person/fabio-ramos)



[Robotics: Science and Systems (RSS)](https://www.roboticsproceedings.org/rss21/p050.html)









[SPIRE: Synergistic Planning, Imitation, and Reinforcement Learning for Long-Horizon Manipulation](/publication/2024-11_spire-synergistic-planning-imitation-and-reinforcement-learning-long-horizon)

Zihan Zhou, Animesh Garg, Dieter Fox, [Caelan Garrett](/person/caelan-garrett), [Ajay Mandlekar](/person/ajay-mandlekar)



[Conference on Robot Learning (CoRL)](https://openreview.net/forum?id=cvUXoou8iz)









[NOD-TAMP: Generalizable Long-Horizon Planning with Neural Object Descriptors](/publication/2024-11_nod-tamp-generalizable-long-horizon-planning-neural-object-descriptors)

Shuo Cheng, [Caelan Garrett](/person/caelan-garrett), [Ajay Mandlekar](/person/ajay-mandlekar), [Danfei Xu](/person/danfei-xu)



[ Conference on Robot Learning (CoRL)](https://openreview.net/forum?id=rThtgkXuvZ)









[SkillGen: Automated Demonstration Generation for Efficient Skill Learning and Deployment](/publication/2024-11_skillgen-automated-demonstration-generation-efficient-skill-learning-and)

[Caelan Garrett](/person/caelan-garrett), [Ajay Mandlekar](/person/ajay-mandlekar), [Bowen Wen](/person/bowen-wen), Dieter Fox



[Conference on Robot Learning (CoRL)](https://openreview.net/forum?id=YOFrRTDC6d)









[Open-World Task and Motion Planning via Vision-Language Model Inferred Constraints](/publication/2024-11_open-world-task-and-motion-planning-vision-language-model-inferred-constraints)

Nishanth Kumar, William Shen, [Fabio Ramos](/person/fabio-ramos), Dieter Fox, Tomás Lozano-Pérez, Leslie Pack Kaelbling, [Caelan Garrett](/person/caelan-garrett)



[CoRL 2024 Workshop on Language and Robot Learning Language as an Interface](https://arxiv.org/abs/2411.08253)









[HAMSTER: Hierarchical Action Models for Open-World Robot Manipulation](/publication/2024-11_hamster-hierarchical-action-models-open-world-robot-manipulation)

Yi Li, Yuquan Deng, Jesse Zhang, Joel Jang, Marius Memmel, [Caelan Garrett](/person/caelan-garrett), [Fabio Ramos](/person/fabio-ramos), Dieter Fox, [Anqi Li](/person/anqi-li), Abhishek Gupta, [Ankit Goyal](/person/ankit-goyal)



[International Conference on Learning Representations (ICLR)](https://openreview.net/forum?id=xZ6ZrbpBRp)









[Guiding Long-Horizon Task and Motion Planning with Vision Language Models](/publication/2024-11_guiding-long-horizon-task-and-motion-planning-vision-language-models)

Zhutian Yang, [Caelan Garrett](/person/caelan-garrett), Dieter Fox, Tomás Lozano-Pérez, Leslie Pack Kaelbling



[IEEE International Conference on Robotics &amp; Automation (ICRA)](https://arxiv.org/abs/2410.02193)









[ReMatching Dynamic Reconstruction Flow](/publication/2024-11_rematching-dynamic-reconstruction-flow)

Sara Oblak, Despoina Paschalidou, Sanja Fidler, Matan Atzmon



[Arxiv](https://arxiv.org/pdf/2411.00705)









[Constructability-driven design of frame structures with state-space search methods](/publication/2024-11_constructability-driven-design-frame-structures-state-space-search-methods)

Yijiang Huang, [Caelan Garrett](/person/caelan-garrett), Caitlin Mueller



[Automation in Construction](https://www.sciencedirect.com/science/article/abs/pii/S0926580524004473)









[Interventional Data Generation for Robust and Data-Efficient Robot Imitation Learning](/publication/2024-10_interventional-data-generation-robust-and-data-efficient-robot-imitation)

Ryan Hoque, [Ajay Mandlekar](/person/ajay-mandlekar), [Caelan Garrett](/person/caelan-garrett), Ken Goldberg, Dieter Fox



[IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)](https://arxiv.org/abs/2405.01472)









[DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability](/publication/2024-10_dimsam-diffusion-models-samplers-task-and-motion-planning-under-partial)

Xiaolin Fang, [Caelan Garrett](/person/caelan-garrett), Clemens Eppner, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox



[IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)](https://arxiv.org/abs/2306.13196)



 Best Conference Paper Finalist, Best Student Paper Finalist





[Learning Radio Environments by Differentiable Ray Tracing](/publication/2024-10_learning-radio-environments-differentiable-ray-tracing)

[Jakob Hoydis](/person/jakob-hoydis), [Fayçal Aït Aoudia ](/person/faycal-ait-aoudia), [Sebastian Cammerer](/person/sebastian-cammerer), Florian Euchner, [Merlin Nimier-David](/person/merlin-nimier-david), Stephan ten Brink



[IEEE Transactions on Machine Learning in Communications and Networking](https://ieeexplore.ieee.org/abstract/document/10705152)









[DiffiT: Diffusion Vision Transformers for Image Generation](/publication/2024-09_diffit-diffusion-vision-transformers-image-generation)

Ali Hatamizadeh , Jiaming Song, Guilin Liu, [Jan Kautz](/person/jan-kautz), [Arash Vahdat](/person/arash-vahdat)



[European Conference on Computer Vision ECCV 2024](https://eccv.ecva.net/)









[Learning to Move Like Professional Counter-Strike Players](/publication/2024-09_learning-move-professional-counter-strike-players)

David Durst, F. Xie, V. Sarukkai, Brennan Shacklett, [Iuri Frosio](/person/iuri-frosio), [Chen Tessler](/person/chen-tessler), [Joohwan Kim](/person/joohwan-kim), C. Taylor, G. Bernstein, S. Choudhury, P. Hanrahan,, Kayvon Fatahalian



[The 23rd ACM SIGGRAPH / Eurographics Symposium on Computer Animation (SCA 2024)](https://computeranimation.org/program.html)









[Conformer without Convolutions](/publication/2024-09_conformer-without-convolutions)

[Matthijs Van keirsbilck](/person/matthijs-van-keirsbilck), [Alex Keller](/person/alex-keller)



[Interspeech 2024](https://www.isca-archive.org/interspeech_2024/vankeirsbilck24_interspeech.pdf)









[LLM Pruning and Distillation in Practice: The Minitron Approach](/publication/2024-08_llm-pruning-and-distillation-practice-minitron-approach)

Sharath Turuvekere Sreenivas, [Saurav Muralidharan](/person/saurav-muralidharan), Raviraj Joshi, Marcin Chochowski, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, [Jan Kautz](/person/jan-kautz), [Pavlo Molchanov](/person/pavlo-molchanov)













[VerilogCoder: Autonomous Verilog Coding Agents with Graph-based Planning and Abstract Syntax Tree (AST)-based Waveform Tracing Tool](/publication/2024-08_verilogcoder-autonomous-verilog-coding-agents-graph-based-planning-and-abstract)

[Chia-Tung (Mark) Ho](/person/chia-tung-mark-ho), Mark Haoxing Ren, [Brucek Khailany](/person/brucek-khailany)



[arXiv](https://arxiv.org/abs/2408.08927)









[Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling](/index.php/publication/2024-08_kilometer-scale-convection-allowing-model-emulation-using-generative-diffusion)

[Jaideep Pathak](/index.php/person/jaideep-pathak), Yair Cohen, Piyush Garg, Peter Harrington, [Noah Brenowitz](/index.php/person/noah-brenowitz), [Dale Durran](/index.php/person/dale-durran), [Morteza Mardani](/index.php/person/morteza-mardani), [Arash Vahdat](/index.php/person/arash-vahdat), Shaoming Xu, Karthik Kashinath, [Mike Pritchard](/index.php/person/mike-pritchard)













[GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators](/publication/2024-08_gentranslate-large-language-models-are-generative-multilingual-speech-and)

Yuchen Hu, Chen Chen, [Huck Yang](/person/huck-yang), Ruizhe Li, Zhehuai Chen, Eng Siong Chng



[ACL 2024](https://arxiv.org/pdf/2402.06894)









[Align Your Steps: Optimizing Sampling Schedules in Diffusion Models](/publication/2024-07_align-your-steps-optimizing-sampling-schedules-diffusion-models)

Amirmojtaba Sabour, Sanja Fidler, [Karsten Kreis](/person/karsten-kreis)



[International Conference on Machine Learning (ICML) 2024](https://arxiv.org/abs/2404.14507)









[DoRA: Weight-Decomposed Low-Rank Adaptation](/publication/2024-07_dora-weight-decomposed-low-rank-adaptation)

Shih-Yang Liu, Chien-Yi Wang, [Hongxu Danny Yin](/person/danny-yin), [Pavlo Molchanov](/person/pavlo-molchanov), [Frank Wang](/person/frank-wang), Kwang-Ting Cheng, [Min-Hung Chen](/person/min-hung-chen)



[International Conference on Machine Learning (ICML) 2024](https://icml.cc/Conferences/2024)









[DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents](/publication/2024-07_disco-diff-enhancing-continuous-diffusion-models-discrete-latents)

Yilun Xu, Gabriele Corso, Tommi Jaakkola, [Arash Vahdat](/person/arash-vahdat), [Karsten Kreis](/person/karsten-kreis)



[International Conference on Machine Learning (ICML) 2024](https://arxiv.org/abs/2407.03300)









[AutoMate: Specialist and Generalist Assembly Policies over Diverse Geometries](/publication/2024-07_automate-specialist-and-generalist-assembly-policies-over-diverse-geometries)

Bingjie Tang, [Iretiayo Akinola](/person/iretiayo-akinola), [Jie Xu](/person/jie-xu), [Bowen Wen](/person/bowen-wen), Ankur Handa, Karl Van Wyk, Dieter Fox, Gaurav S. Sukhatme, [Fabio Ramos](/person/fabio-ramos), [Yashraj Narang](/person/yashraj-narang)



[Robotics: Science and Systems (RSS) 2024](https://roboticsconference.org/2024/)









[Experimenting with Artificial Intelligence: Programming Pathfinding Algorithms in C++ with Unreal Engine 5](/publication/2024-07_experimenting-artificial-intelligence-programming-pathfinding-algorithms-c)

Deborah Yuen, [Josef Spjut](/person/josef-spjut)



[ACM SIGGRAPH Labs](https://dl.acm.org/doi/proceedings/10.1145/3641236)









[Neural operators with localized integral and differential kernels](/index.php/publication/2024-07_neural-operators-localized-integral-and-differential-kernels)

Miguel Liu-Schiaffini, Julius Berner, [Boris Bonev](/index.php/person/boris-bonev), Thorsten Kurth, Kamyar Azizzadenesheli, Anima Anandkumar



[arXiv link](https://arxiv.org/abs/2402.16845)









[Improving Hyperparameter Optimization with Checkpointed Model Weights](/publication/2024-06_improving-hyperparameter-optimization-checkpointed-model-weights)

Nikhil Mehta, Jonathan Lorraine, Steve Masson, Ramanathan Arunachalam, Zaid Pervaiz Bhat, James Lucas, Arun George Zachariah



[Arxiv](https://arxiv.org/pdf/2406.18630)









[Large Language Model (LLM) for Standard Cell Layout Design Optimization](/publication/2024-06_large-language-model-llm-standard-cell-layout-design-optimization)

[Chia-Tung (Mark) Ho](/person/chia-tung-mark-ho), Mark Haoxing Ren



[The First IEEE International Workshop on LLM-Aided Design (LAD'24)](https://arxiv.org/abs/2406.06549)



Best Paper Award





[GAvatar: Animatable 3D Gaussian Avatars with Implicit Mesh Learning](/index.php/publication/2024-06_gavatar-animatable-3d-gaussian-avatars-implicit-mesh-learning)

[Ye Yuan](/index.php/person/ye-yuan), [Xueting Li](/index.php/person/xueting-li), Yangyi Huang, [Shalini De Mello](/index.php/person/shalini-de-mello), [Koki Nagano](/index.php/person/koki-nagano), [Jan Kautz](/index.php/person/jan-kautz), [Umar Iqbal](/index.php/person/umar-iqbal)



[IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024](https://openaccess.thecvf.com/content/CVPR2024/papers/Yuan_GAvatar_Animatable_3D_Gaussian_Avatars_with_Implicit_Mesh_Learning_CVPR_2024_paper.pdf)



Highlight





[Dream-in-4D: A Unified Approach for Text- and Image-guided 4D Scene Generation](/publication/2024-06_dream-4d-unified-approach-text-and-image-guided-4d-scene-generation)

Yufeng Zheng, [Xueting Li](/person/xueting-li), [Koki Nagano](/person/koki-nagano), [Sifei Liu](/person/sifei-liu), Otmar Hilliges, [Shalini De Mello](/person/shalini-de-mello)



[IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024](https://openaccess.thecvf.com/content/CVPR2024/papers/Zheng_A_Unified_Approach_for_Text-_and_Image-guided_4D_Scene_Generation_CVPR_2024_paper.pdf)









[Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata](/publication/2024-06_outdoor-scene-extrapolation-hierarchical-generative-cellular-automata)

Dongsu Zhang, Francis Williams, Zan Gojcic, [Karsten Kreis](/person/karsten-kreis), Sanja Fidler, Young Min Kim, Amlan Kar



[CVPR 2024 (Highlight)](https://arxiv.org/abs/2406.08292)









[RegionGPT: Towards Region Understanding Vision Language Model](/index.php/publication/2024-06_regiongpt-towards-region-understanding-vision-language-model)

Qiushan Guo, [Shalini De Mello](/index.php/person/shalini-de-mello), [Hongxu Danny Yin](/index.php/person/danny-yin), [Wonmin Byeon](/index.php/person/wonmin-byeon), Ka Chun Cheung, Yizhou Yu, Ping Luo, [Sifei Liu](/index.php/person/sifei-liu)



[IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024](https://openaccess.thecvf.com/content/CVPR2024/papers/Guo_RegionGPT_Towards_Region_Understanding_Vision_Language_Model_CVPR_2024_paper.pdf)









[What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs](/publication/2024-06_what-you-see-what-you-gan-rendering-every-pixel-high-fidelity-geometry-3d-gans)

[Alexander Trevithick](/person/alexander-trevithick), Matthew Chan, Towaki Takikawa, [Umar Iqbal](/person/umar-iqbal), [Shalini De Mello](/person/shalini-de-mello), Manmohan Chandraker, Ravi Ramamoorthi, [Koki Nagano](/person/koki-nagano)



[IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024](https://openaccess.thecvf.com/content/CVPR2024/papers/Trevithick_What_You_See_is_What_You_GAN_Rendering_Every_Pixel_CVPR_2024_paper.pdf)









[Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models](/publication/2024-06_align-your-gaussians-text-4d-dynamic-3d-gaussians-and-composed-diffusion-models)

Huan Ling, Seung Wook Kim, Antonio Torralba, Sanja Fidler, [Karsten Kreis](/person/karsten-kreis)



[CVPR 2024 (Highlight)](https://arxiv.org/abs/2312.13763)









[Nemotron-4 340B](/index.php/publication/2024-06_nemotron-4-340b)















[An Empirical Study of Mamba-based Language Models](/publication/2024-06_empirical-study-mamba-based-language-models)

Roger Waleffe, [Wonmin Byeon](/person/wonmin-byeon), Duncan Riach, Brandon Norick, Vijay Korthikanti, Tri Dao, Albert Gu, [Ali Hatamizadeh](/person/ali-hatamizadeh), Sudhakar Singh, Deepak Narayanan, Garvit Kulshreshtha, Vartika Singh, Jared Casper, [Jan Kautz](/person/jan-kautz), Mohammad Shoeybi, Bryan Catanzaro



<https://arxiv.org/pdf/2406.07887>









[Full-colour 3D holographic augmented-reality displays with metasurface waveguides](/publication/2024-05_full-colour-3d-holographic-augmented-reality-displays-metasurface-waveguides)

Manu Gopakumar, Gun-Yeal Lee, Suyeon Choi, Brian Chao, Yifan Peng, [Jonghyun Kim](/person/jonghyun-kim), Gordon Wetzstein



[Nature](https://www.nature.com/articles/s41586-024-07386-0)









[FasterViT: Fast Vision Transformers with Hierarchical Attention](/publication/2024-05_fastervit-fast-vision-transformers-hierarchical-attention)

Ali Hatamizadeh , [Greg Heinrich](/person/greg-heinrich), [Hongxu Danny Yin](/person/danny-yin), Andrew Tao, Jose M. Alvarez, [Jan Kautz](/person/jan-kautz), [Pavlo Molchanov](/person/pavlo-molchanov)



[International Conference on Learning Representations (ICLR) 2024](https://iclr.cc/)









[Large Language Models are Efficient Learners of Noise-Robust Speech Recognition](/index.php/publication/2024-05_large-language-models-are-efficient-learners-noise-robust-speech-recognition)

YuChen Hu, Chen Chen, [Huck Yang](/index.php/person/huck-yang), Ruizhe Li, Chao Zhang, Pin-Yu Chen, EnSiong Chng



[ICLR 2024](https://iclr.cc/Conferences/2024)









[It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition](/publication/2024-05_it-s-never-too-late-fusing-acoustic-information-large-language-models-automatic)

Chen Chen, Ruizhe Li, Yuchen Hu, Sabato Marco Siniscalchi, Pin-Yu Chen, Ensiong Chng, [Huck Yang](/person/huck-yang)



[ICLR 2024](https://iclr.cc/Conferences/2024)









[WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space](/publication/2024-05_wildfusion-learning-3d-aware-latent-diffusion-models-view-space)

Katja Schwarz, Seung Wook Kim, Jun Gao, Sanja Fidler, Andreas Geiger, [Karsten Kreis](/person/karsten-kreis)



[International Conference on Learning Representations (ICLR) 2024](https://arxiv.org/abs/2311.13570)









[Learning to Compare Hardware Designs for High-Level Synthesis](/publication/2024-05_learning-compare-hardware-designs-high-level-synthesis)

[Yunsheng Bai](/person/yunsheng-bai), Atefeh Sohrabizadeh, Zijian Ding, [Rongjian Liang](/person/rongjian-liang), Weikai Li, Ding Wang, Mark Haoxing Ren, Yizhou Sun, Jason Cong













[3D Reconstruction with Generalizable Neural Fields using Scene Priors](/publication/2024-05_3d-reconstruction-generalizable-neural-fields-using-scene-priors)

Yang Fu, [Shalini De Mello](/person/shalini-de-mello), [Xueting Li](/person/xueting-li), Amey Kulkarni, [Jan Kautz](/person/jan-kautz), Xiaolong Wang, [Sifei Liu](/person/sifei-liu)



[International Conference on Learning Representations (ICLR) 2024](https://proceedings.iclr.cc/paper_files/paper/2024/hash/0bd32794b26cfc99214b89313764da8e-Abstract-Conference.html)









[LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis](/publication/2024-03_latte3d-large-scale-amortized-text-enhanced3d-synthesis)

Kevin Xie, Jonathan Lorraine, Tianshi Cao, Jun Gao, James Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng



[ECCV](https://eccv2024.ecva.net/)









[Novel Transformer Model Based Clustering Method for Standard Cell Design Automation](/publication/2024-03_novel-transformer-model-based-clustering-method-standard-cell-design-automation)

[Chia-Tung (Mark) Ho](/person/chia-tung-mark-ho), Ajay Chandna, David Guan, Alvin Ho, Minsoo Kim, Yaguang Li, Mark Haoxing Ren



[International Symposium on Physical Design 2024](https://dl.acm.org/doi/10.1145/3626184.3633314)



Best Paper Award





[ConsiStory: Training-Free Consistent Text-to-Image Generation](/publication/2024-02_consistory-training-free-consistent-text-image-generation)

Yoad Tewel, Omri Kaduri, Rinon Gal, [Yoni Kasten](/person/yoni-kasten), Lior Wolf, [Gal Chechik](/person/gal-chechik), [Yuval Atzmon](/person/yuval-atzmon)



[SIGGRAPH](https://arxiv.org/abs/2402.03286)









[Interactive Texture Painting with Generative AI](/publication/2024-01_interactive-texture-painting-generative-ai)

Anita Hu, Nishkrit Desai, Ashley Goldstein, Hassan Abu Alhaija, Seung Wook Kim, Daniela Hasenbring, [Alex Zook](/person/alex-zook), Rajeev Rao, Maria Shugrina



[SIGGRAPH Asia 2023](https://asia.siggraph.org/2023/)









[Generating images of rare concepts using pre-trained diffusion models](/publication/2024-01_generating-images-rare-concepts-using-pre-trained-diffusion-models)

Dvir Samuel, Rami Ben-Ari, Simon Raviv, Nir Darshan, [Gal Chechik](/person/gal-chechik)



[AAAI 2024](https://arxiv.org/abs/2304.14530)









### 2023 

[Compact Neural Graphics Primitives with Learned Hash Probing](/index.php/publication/2023-12_compact-neural-graphics-primitives-learned-hash-probing)

Towaki Takikawa, [Thomas Müller](/index.php/person/thomas-muller), [Merlin Nimier-David](/index.php/person/merlin-nimier-david), Alex Evans, [Sanja Fidler](/index.php/person/sanja-fidler), Alec Jacobson, [Alex Keller](/index.php/person/alex-keller)



[SIGGRAPH Asia 2023](https://dl.acm.org/doi/10.1145/3610548.3618167)









[Point-Cloud Completion with Pretrained Text-to-image Diffusion Models](/publication/2023-12_point-cloud-completion-pretrained-text-image-diffusion-models)

[Yoni Kasten](/person/yoni-kasten), Ohad Rahamim, [Gal Chechik](/person/gal-chechik)



[NeurIPS 2023](https://arxiv.org/pdf/2306.10533.pdf)









[Convolutional State Space Models for Long-Range Spatiotemporal Modeling](/publication/2023-12_convolutional-state-space-models-long-range-spatiotemporal-modeling)

Jimmy T. H. Smith, [Shalini De Mello](/person/shalini-de-mello), [Jan Kautz](/person/jan-kautz), Scott Linderman, [Wonmin Byeon](/person/wonmin-byeon)



[Advances in Neural Information Processing Systems (NeurIPS) 2023](https://nips.cc/)









[SceneScape: Text-Driven Consistent Scene Generation](/publication/2023-12_scenescape-text-driven-consistent-scene-generation)

Rafail Fridman, Amit Abecasis, [Yoni Kasten](/person/yoni-kasten), Tali Dekel



[NeurIPS 2023](https://arxiv.org/pdf/2302.01133.pdf)









[HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models](/publication/2023-12_hyporadise-open-baseline-generative-speech-recognition-large-language-models)

Chen Chen, YuChen Hu, [Huck Yang](/person/huck-yang), Sabato Marco Siniscalchi, Pin-Yu Chen, Ensiong Chng



[NeurIPS 2023](https://openreview.net/forum?id=cAjZ3tMye6)









[Graph Metanetworks for Processing Diverse Neural Architectures](/publication/2023-12_graph-metanetworks-processing-diverse-neural-architectures)

Derek Lim, [Haggai Maron](/person/haggai-maron), Marc T. Law, Jonathan Lorraine, James Lucas



[ICLR](https://arxiv.org/pdf/2312.04501.pdf)









[XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies](/publication/2023-12_xcube-large-scale-3d-generative-modeling-using-sparse-voxel-hierarchies)

Xuanchi Ren, Jiahui Huang, Xiaohui Zeng, Ken Museth, Sanja Fidler, Francis Williams



[CVPR](https://arxiv.org/abs/2312.03806)









[Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition](/publication/2023-12_whispering-llama-cross-modal-generative-error-correction-framework-speech)

Srijith Radhakrishnan, [Huck Yang](/person/huck-yang), Sumeer Khan, Rohit Kumar, Narsis Kiani, David Gomez-Cabrero, Jesper Tegnér



[EMNLP](https://aclanthology.org/2023.emnlp-main.618/)









[Adaptive Shells for Efficient Neural Radiance Field Rendering](/publication/2023-12_adaptive-shells-efficient-neural-radiance-field-rendering)

Zian Wang, Tianchang Shen, [Merlin Nimier-David](/person/merlin-nimier-david), Nicholas Sharp, Jun Gao, [Alex Keller](/person/alex-keller), [Sanja Fidler](/person/sanja-fidler), [Thomas Müller](/person/thomas-muller), Zan Gojcic



[SIGGRAPH Asia 2023](https://dl.acm.org/doi/10.1145/3618390)



SIGGRAPH Asia 2023 Best Paper Award





[Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling](/index.php/publication/2023-12_sionna-rt-differentiable-ray-tracing-radio-propagation-modeling)

[Jakob Hoydis](/index.php/person/jakob-hoydis), [Fayçal Aït Aoudia ](/index.php/person/faycal-ait-aoudia), [Sebastian Cammerer](/index.php/person/sebastian-cammerer), [Merlin Nimier-David](/index.php/person/merlin-nimier-david), [Nikolaus Binder](/index.php/person/nikolaus-binder), [Guillermo Marcus](/index.php/person/guillermo-marcus), [Alex Keller](/index.php/person/alex-keller)



[IEEE Globecom Workshops (GC Wkshps) 2023](https://globecom2023.ieee-globecom.org/)









[A Neural Receiver for 5G NR Multi-user MIMO](/publication/2023-12_neural-receiver-5g-nr-multi-user-mimo)

[Sebastian Cammerer](/person/sebastian-cammerer), [Fayçal Aït Aoudia ](/person/faycal-ait-aoudia), [Jakob Hoydis](/person/jakob-hoydis), Andreas Oeldemann, Andreas Roessler, Timo Mayer, [Alex Keller](/person/alex-keller)



[IEEE Globecom Workshops (GC Wkshps) 2023](https://globecom2023.ieee-globecom.org/)









[CircuitOps: An ML Infrastructure Enabling Generative AI for VLSI Circuit Optimization](/publication/2023-11_circuitops-ml-infrastructure-enabling-generative-ai-vlsi-circuit-optimization)

[Rongjian Liang](/person/rongjian-liang), Anthony Agnesina, Geraldo Pradipta, Vidya A. Chhabria, Mark Haoxing Ren



[2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD) ](https://2023.iccad.com/)









[Imitating Task and Motion Planning with Visuomotor Transformers](/index.php/publication/2023-11_imitating-task-and-motion-planning-visuomotor-transformers)

Murtaza Dalal, [Ajay Mandlekar](/index.php/person/ajay-mandlekar), [Caelan Garrett](/index.php/person/caelan-garrett), Ankur Handa, Ruslan Salakhutdinov, Dieter Fox



[CoRL 2023](https://openreview.net/forum?id=QNPuJZyhFE)









[Graph Neural Networks for Enhanced Decoding of Quantum LDPC Codes](/publication/2023-11_graph-neural-networks-enhanced-decoding-quantum-ldpc-codes)

Anqi Gong, [Sebastian Cammerer](/person/sebastian-cammerer), Joseph M. Renes



[International Conference on Quantum Information Processing (QIP) 2024](https://qip2024.tw/)









[Human-In-The-Loop Task and Motion Planning for Imitation Learning](/publication/2023-11_human-loop-task-and-motion-planning-imitation-learning)

[Ajay Mandlekar](/person/ajay-mandlekar), [Caelan Garrett](/person/caelan-garrett), Danfei Xu, Dieter Fox



[CoRL 2023](https://openreview.net/forum?id=G_FEL3OkiR)









[ChipNeMo: Domain-Adapted LLMs for Chip Design](/publication/2023-10_chipnemo-domain-adapted-llms-chip-design)

[Mingjie Liu](/person/mingjie-liu), Teo Ene, Robert Kirby, Chris Cheng, [Nathaniel Pinckney](/person/nathaniel-pinckney), [Rongjian Liang](/person/rongjian-liang), Jonah Alben, Himyanshu Anand, Sanmitra Banerjee, Ismet Bayraktaroglu, Bonita Bhaskaran, Bryan Catanzaro, Arjun Chaudhuri, Sharon Clay, Bill Dally, Laura Dang, Parikshit Deshpande, Siddhanth Dhodhi, Sameer Halepete, Eric Hill, Jiashang Hu, Sumit Jain, [Brucek Khailany](/person/brucek-khailany), George Kokai, Kishor Kunal, Xiaowei Li, Charley Lind, Hao Liu, Stuart Oberman, Sujeet Omar, Sreedhar Pratty, Jonathan Raman, Ambar Sarkar, Zhengjiang Shao, Hanfei Sun, Pratik P Suthar, Varun Tej, [Walker Turner](/person/walker-turner), Kaizhe Xu, Mark Haoxing Ren













[TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models](/publication/2023-10_texfusion-synthesizing-3d-textures-text-guided-image-diffusion-models)

Tianshi Cao, [Karsten Kreis](/person/karsten-kreis), Sanja Fidler, Nicholas Sharp, Kangxue Yin



[IEEE/CVF International Conference on Computer Vision (ICCV) 2023 (Oral)](https://arxiv.org/abs/2310.13772)









[ATT3D: Amortized Text-To-3D Object Synthesis](/publication/2023-10_att3d-amortized-text-3d-object-synthesis)

Jonathan Lorraine, Kevin Xie, Xiaohui Zeng, [Chen-Hsuan Lin](/person/chen-hsuan-lin), Towaki Takikawa, Nicholas Sharp, [Tsung-Yi Lin](/person/tsung-yi-lin), [Ming-Yu Liu](/person/ming-yu-liu), Sanja Fidler, James Lucas



[ICCV](https://openaccess.thecvf.com/content/ICCV2023/papers/Lorraine_ATT3D_Amortized_Text-to-3D_Object_Synthesis_ICCV_2023_paper.pdf)









[DreamTeacher: Pretraining Image Backbones with Deep Generative Models](/publication/2023-10_dreamteacher-pretraining-image-backbones-deep-generative-models)

Daiqing Li, Huan Ling, Amlan Kar, David Acuna, Seung Wook Kim, [Karsten Kreis](/person/karsten-kreis), Antonio Torralba, Sanja Fidler



[IEEE/CVF International Conference on Computer Vision (ICCV) 2023](https://arxiv.org/abs/2307.07487)









[Generative Novel View Synthesis with 3D-Aware Diffusion Models](/publication/2023-10_generative-novel-view-synthesis-3d-aware-diffusion-models)

Eric R. Chan, [Koki Nagano](/person/koki-nagano), Matthew Chan, Alexander W. Bergman, Jeong Joon Park, Axel Levy, [Miika Aittala](/person/miika-aittala), [Shalini De Mello](/person/shalini-de-mello), [Tero Karras](/person/tero-karras), Gordon Wetzstein



[International Conference on Computer Vision (ICCV) 2023](https://iccv2023.thecvf.com/)



Oral





[2D-3D Interlaced Transformer for Point Cloud Segmentation with Scene-Level Supervision](/publication/2023-10_2d-3d-interlaced-transformer-point-cloud-segmentation-scene-level-supervision)

Cheng-Kun Yang, [Min-Hung Chen](/person/min-hung-chen), Yung-Yu Chaung, Yen-Yu Lin



[ IEEE/CVF International Conference on Computer Vision (ICCV) 2023](https://iccv2023.thecvf.com/)









[Syntactic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment](/publication/2023-10_syntactic-binding-diffusion-models-enhancing-attribute-correspondence-through)

Royi Rassin, Eran Hirsch, Daniel Glickman, Shauli Ravfogel, Yoav Goldberg, [Gal Chechik](/person/gal-chechik)



[NeurIPS 2023](https://nips.cc/virtual/2023/oral/73870)



Oral presentation





[Interpretable Trajectory Prediction for Autonomous Vehicles via Counterfactual Responsibility](/publication/2023-10_interpretable-trajectory-prediction-autonomous-vehicles-counterfactual)

Kai-Chieh Hsu, [Karen Leung](/person/karen-leung), [Yuxiao Chen](/person/yuxiao-chen), Jaime Fernandez Fisac, [Marco Pavone](/person/marco-pavone)



[IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)](https://ieee-iros.org/)









[Norm-guided latent space exploration for text-to-image generation](/publication/2023-10_norm-guided-latent-space-exploration-text-image-generation)

Dvir Samuel, Rami Ben-Ari, Nir Darshan, [Haggai Maron](/person/haggai-maron), [Gal Chechik](/person/gal-chechik)



[NeurIPS 2023](https://nips.cc/virtual/2023/poster/70922)









[Online Overexposed Pixels Hallucination in Videos with Adaptive Reference Frame Selection](/index.php/publication/2023-08_online-overexposed-pixels-hallucination-videos-adaptive-reference-frame)

Yazhou Xing, [Amrita Mazumdar](/index.php/person/amrita-mazumdar), Anjul Patney, [Chao Liu](/index.php/person/chao-liu), [Hongxu Danny Yin](/index.php/person/danny-yin), Qifeng Chen, [Jan Kautz](/index.php/person/jan-kautz), [Iuri Frosio](/index.php/person/iuri-frosio)



[Arxiv](https://arxiv.org/abs/2308.15462)









[Differentially Private Diffusion Models](/publication/2023-08_differentially-private-diffusion-models)

Tim Dockhorn, Tianshi Cao, [Arash Vahdat](/person/arash-vahdat), [Karsten Kreis](/person/karsten-kreis)



[Transactions on Machine Learning Research (TMLR) 2023](https://arxiv.org/abs/2210.09929)









[Flexible Isosurface Extraction for Gradient-Based Mesh Optimization](/publication/2023-08_flexible-isosurface-extraction-gradient-based-mesh-optimization)

Tianchang Shen, [Jacob Munkberg](/person/jacob-munkberg), [Jon Hasselgren](/person/jon-hasselgren), Kangxue Yin, Zian Wang, Wenzheng Chen, Zan Gojcic, Sanja Fidler, Nicholas Sharp, Jun Gao



[ACM Transactions On Graphics (SIGGRAPH 2023)](https://dl.acm.org/doi/abs/10.1145/3592430)









[Learning Physically Simulated Tennis Players from Broadcast Videos](/publication/2023-08_learning-physically-simulated-tennis-players-broadcast-videos)

Haotian Zhang, [Ye Yuan](/person/ye-yuan), Viktor Makoviychuk, Yunrong Guo, Sanja Fidler, Jason Peng, Kayvon Fatahalian



[SIGGRAPH 2023 (Best Paper Honorable Mention)](https://s2023.siggraph.org/)









[Live 3D Portrait: Real-Time Radiance Fields for Single-Image Portrait View Synthesis](/publication/2023-08_live-3d-portrait-real-time-radiance-fields-single-image-portrait-view-synthesis)

Alexander Trevithick, Matthew Chan, [Michael Stengel](/person/michael-stengel), Eric R. Chan, [Chao Liu](/person/chao-liu), [Zhiding Yu](/person/zhiding-yu), Sameh Khamis, Manmohan Chandraker, Ravi Ramamoorthi, [Koki Nagano](/person/koki-nagano)



[ACM Transactions On Graphics (SIGGRAPH 2023)](https://s2023.siggraph.org/)









[Micro-Mesh Construction](/publication/2023-08_micro-mesh-construction)

Andrea Maggiordomo, Henry Moreton, Marco Tarini



[SIGGRAPH 2023](https://s2023.siggraph.org/)









[Interactive Hair Simulation on the GPU Using ADMM](/publication/2023-08_interactive-hair-simulation-gpu-using-admm)

Gilles Daviet



[SIGGRAPH 2023](https://s2023.siggraph.org/)









[Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models](/publication/2023-08_encoder-based-domain-tuning-fast-personalization-text-image-models-0)

Rinon Gal, Moab Arar, [Yuval Atzmon](/person/yuval-atzmon), Amit Bermano, [Gal Chechik](/person/gal-chechik), Daniel Cohen-Or



[SIGGRAPH 2023](https://arxiv.org/abs/2302.12228)









[Random-Access Neural Compression of Material Textures](/index.php/publication/2023-08_random-access-neural-compression-material-textures)

Karthik Vaidyanathan, Marco Salvi, [Bart Wronski](/index.php/person/bart-wronski), [Tomas Akenine-Möller](/index.php/person/tomas-akenine-moller), [Pontus Ebelin](/index.php/person/pontus-ebelin), [Aaron Lefohn](/index.php/person/aaron-lefohn)



[SIGGRAPH 2023](https://s2023.siggraph.org/)



SIGGRAPH 2023 Technical Papers Awards: Honorable Mention





[IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research](/publication/2023-08_igb-addressing-gaps-labeling-features-heterogeneity-and-size-public-graph)

Arpandeep Khatua, [Vikram Sharma Mailthody](/person/vikram-sharma-mailthody-0), Bhagyashree Taleka, Tengfei Ma, Xiang Song, [Wen-mei Hwu](/person/wen-mei-hwu)



[KDD'23](https://kdd.org/kdd2023)









[A Hybrid Generator Architecture for Controllable Face Synthesis](/publication/2023-08_hybrid-generator-architecture-controllable-face-synthesis)

Dann Mensah, Nam Hee Kim, [Miika Aittala](/person/miika-aittala), [Samuli Laine](/person/samuli-laine), [Jaakko Lehtinen](/person/jaakko-lehtinen)



[SIGGRAPH 2023](https://s2023.siggraph.org/)









[SSIF: Single-shot Implicit Morphable Faces With Consistent Texture Parameterization](/publication/2023-08_ssif-single-shot-implicit-morphable-faces-consistent-texture-parameterization)

Connor Zhizhen Lin, [Koki Nagano](/person/koki-nagano), [Jan Kautz](/person/jan-kautz), Eric R. Chan, [Umar Iqbal](/person/umar-iqbal), Leonidas Guibas, Gordon Wetzstein, Sameh Khamis



[SIGGRAPH 2023](https://s2023.siggraph.org/)









[Boundary Value Caching for Walk on Spheres](/publication/2023-08_boundary-value-caching-walk-spheres)

Bailey Miller, Rohan Sawhney, Keenan Crane, Ioannis Gkioulekas



[SIGGRAPH 2023](https://s2023.siggraph.org/)









[Synthesizing Physical Character-Scene Interactions](/index.php/publication/2023-08_synthesizing-physical-character-scene-interactions)

Mohamed Hassan, Yunrong Guo, Tingwu Wang, Michael Black, Sanja Fidler, Xue Bin Peng



[SIGGRAPH 2023](https://s2023.siggraph.org/)









[Guided Deep Kernel Learning](/index.php/publication/2023-08_guided-deep-kernel-learning)

Idan Achituve, [Gal Chechik](/index.php/person/gal-chechik), Ethan Fetaya



[UAI 2023](https://arxiv.org/abs/2302.09574)









[Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models](/publication/2023-08_encoder-based-domain-tuning-fast-personalization-text-image-models)

Rinon Gal, Moab Arar, [Yuval Atzmon](/person/yuval-atzmon), Amit H. Bermano, [Gal Chechik](/person/gal-chechik), Daniel Cohen-Or



[SIGGRAPH 2023](https://s2023.siggraph.org/)









[Generalizing Shallow Water Simulations with Dispersive Surface Waves](/publication/2023-08_generalizing-shallow-water-simulations-dispersive-surface-waves)

Stefan Jeschke, Chris Wojtan



[SIGGRAPH 2023](https://s2023.siggraph.org/)









[Walk on Stars: A Grid-Free Monte Carlo Method for PDEs with Neumann Boundary Conditions](/index.php/publication/2023-08_walk-stars-grid-free-monte-carlo-method-pdes-neumann-boundary-conditions)

Rohan Sawhney, Bailey Miller, Ioannis Gkioulekas, Keenan Crane



[SIGGRAPH 2023](https://s2023.siggraph.org/)









[Data Free Learning of Reduced-Order Kinematics](/publication/2023-08_data-free-learning-reduced-order-kinematics)

Nicholas Sharp, Cristian Romero, David Levin, Alec Jacobson, Etienne Vouga, Paul Kry, Justin Solomon



[SIGGRAPH 2023](https://s2023.siggraph.org/)









[Key-Locked Rank One Editing for Text-to-Image Personalization](/publication/2023-08_key-locked-rank-one-editing-text-image-personalization)

Yoad Tewel, Rinon Gal, [Gal Chechik](/person/gal-chechik), [Yuval Atzmon](/person/yuval-atzmon)



[SIGGRAPH 2023](https://s2023.siggraph.org/)









[AI-Mediated 3D Video Conferencing](/publication/2023-08_ai-mediated-3d-video-conferencing)

[Michael Stengel](/person/michael-stengel), [Koki Nagano](/person/koki-nagano), [Chao Liu](/person/chao-liu), Matthew Chan, Alex Trevithick, [Shalini De Mello](/person/shalini-de-mello), [Jonghyun Kim](/person/jonghyun-kim), [David Luebke](/person/david-luebke), [Amrita Mazumdar](/person/amrita-mazumdar), Shengze Wang, Mayoore Jaiswal



[ACM SIGGRAPH Emerging Technologies 2023](https://dl.acm.org/doi/abs/10.1145/3588037.3595385)









[Interactive AI Material Generation and Editing in NVIDIA Omniverse](/publication/2023-07_interactive-ai-material-generation-and-editing-nvidia-omniverse)

Hassan Abu Alhaija, [Alex Zook](/person/alex-zook), Michael Babcock, James Lucas, David Tyner, Rajeev Rao, Maria Shugrina



[SIGGRAPH 2023](https://s2023.siggraph.org/)



Real-Time Live! Best in Show





[Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models](/publication/2023-07_bayesian-reparameterization-reward-conditioned-reinforcement-learning-energy)

Wenhao Ding, [Gerry Che](/person/gerry-che), Ding Zhao, [Marco Pavone](/person/marco-pavone)



[International Conference on Machine Learning (ICML)](https://icml.cc/Conferences/2023)









[Meta-Policy Learning over Plan Ensembles for Robust Articulated Object Manipulation](/publication/2023-07_meta-policy-learning-over-plan-ensembles-robust-articulated-object-manipulation)

Constantinos Chamzas, [Caelan Garrett](/person/caelan-garrett), [Balakumar Sundaralingam](/person/balakumar-sundaralingam), Lydia Kavraki, Dieter Fox



[RSS 2023 Workshop on Learning for Task and Motion Planning](https://openreview.net/forum?id=68N8Dj6KVv)









[Sequence-Based Plan Feasibility Prediction for Efficient Task and Motion Planning](/publication/2023-07_sequence-based-plan-feasibility-prediction-efficient-task-and-motion-planning)

Zhutian Yang, [Caelan Garrett](/person/caelan-garrett), Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox



[Robotics: Science and Systems (RSS)](https://roboticsconference.org/)









[Late Breaking Results: Test Selection For RTL Coverage By Unsupervised Learning From Fast Functional Simulation](/publication/2023-07_late-breaking-results-test-selection-rtl-coverage-unsupervised-learning-fast)

[Rongjian Liang](/person/rongjian-liang), [Nathaniel Pinckney](/person/nathaniel-pinckney), Yuji Chai, Mark Haoxing Ren, [Brucek Khailany](/person/brucek-khailany)



[60th Design Automation Conference](https://www.dac.com/)









[Efficient Transformer Inference with Statically Structured Sparse Attention](/index.php/publication/2023-07_efficient-transformer-inference-statically-structured-sparse-attention)

[Steve Dai](/index.php/person/steve-dai), Hasan Genc, [Rangharajan Venkatesan](/index.php/person/rangharajan-venkatesan), [Brucek Khailany](/index.php/person/brucek-khailany)



[2023 60th ACM/IEEE Design Automation Conference (DAC)](https://ieeexplore.ieee.org/xpl/conhome/10247654/proceeding)









[Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields](/publication/2023-07_physics-informed-optical-kernel-regression-using-complex-valued-neural-fields)

Guojin Chen, Zehua Pei, [Haoyu Yang](/person/haoyu-yang), Yuzhe Ma, Bei Yu, Martin Wong



[60th ACM/IEEE Design Automation Conference](https://arxiv.org/abs/2303.08435)









[Global Context Vision Transformers](/publication/2023-07_global-context-vision-transformers)

Ali Hatamizadeh , [Hongxu Danny Yin](/person/danny-yin), [Greg Heinrich](/person/greg-heinrich), [Jan Kautz](/person/jan-kautz), [Pavlo Molchanov](/person/pavlo-molchanov)



[ International Conference on Machine Learning (ICML) 2023](https://icml.cc/Conferences/2023)









[Learning to Initiate and Reason in Event-Driven Cascading Processes](/publication/2023-07_learning-initiate-and-reason-event-driven-cascading-processes)

[Yuval Atzmon](/person/yuval-atzmon), [Eli Meirom](/person/eli-meirom), [Shie Mannor](/person/shie-mannor), [Gal Chechik](/person/gal-chechik)



[ICML 2023](https://proceedings.mlr.press/v202/atzmon23a/atzmon23a.pdf)









[Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles](/publication/2023-07_task-aware-risk-estimation-perception-failures-autonomous-vehicles)

Pasquale Antonante, [Sushant Veer](/person/sushant-veer), [Karen Leung](/person/karen-leung), [Xinshuo Weng](/person/xinshuo-weng), Luca Carlone, [Marco Pavone](/person/marco-pavone)



[Robotics: Science and Systems (RSS) 2023](https://roboticsconference.org/)









[Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models](/publication/2023-06_align-your-latents-high-resolution-video-synthesis-latent-diffusion-models)

Andreas Blattmann, Robin Rombach, Huan Ling, Tim Dockhorn, Seung Wook Kim, Sanja Fidler, [Karsten Kreis](/person/karsten-kreis)



[IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023](https://arxiv.org/abs/2304.08818)









[Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation](/publication/2023-06_object-pose-estimation-statistical-guarantees-conformal-keypoint-detection-and)

[Heng Yang](/person/heng-yang), [Marco Pavone](/person/marco-pavone)



[IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023](https://cvpr2023.thecvf.com/)



Selected as a Highlight Paper





[NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models](/publication/2023-06_neuralfield-ldm-scene-generation-hierarchical-latent-diffusion-models)

Seung Wook Kim, Bradley Brown, Kangxue Yin, [Karsten Kreis](/person/karsten-kreis), Katja Schwarz, Daiqing Li, Robin Rombach, Antonio Torralba, Sanja Fidler



[IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023](https://arxiv.org/abs/2304.09787)









[FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization](/publication/2023-06_freenerf-improving-few-shot-neural-rendering-free-frequency-regularization)

Jiawei Yang, [Marco Pavone](/person/marco-pavone), [Yue Wang](/person/yue-wang)



[IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023](https://cvpr2023.thecvf.com/)









[Learning Human-to-Robot Handovers from Point Clouds](/publication/2023-06_learning-human-robot-handovers-point-clouds)

Sammy Christen, [Wei Yang](/person/wei-yang), [Claudia Pérez D’Arpino ](/person/cdarpino), Otmar Hilliges, Dieter Fox, [Yu-Wei Chao](/person/yu-wei-chao)



[ IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023](https://cvpr2023.thecvf.com)



Highlight





[Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion](/publication/2023-06_trace-and-pace-controllable-pedestrian-animation-guided-trajectory-diffusion)

Davis Rempe, Zhengyi Luo, Xue Bin Peng, [Ye Yuan](/person/ye-yuan), Kris Kitani, [Karsten Kreis](/person/karsten-kreis), Sanja Fidler, Or Litany



[IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023](https://cvpr2023.thecvf.com/)









[Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models](/publication/2023-06_open-vocabulary-panoptic-segmentation-text-image-diffusion-models)

Jiarui Xu, [Sifei Liu](/person/sifei-liu), [Arash Vahdat](/person/arash-vahdat), [Wonmin Byeon](/person/wonmin-byeon), Xiaolong Wang, [Shalini De Mello](/person/shalini-de-mello)



[IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023](https://cvpr2023.thecvf.com/)



Hightlight top 10%





[Zero-shot Pose Transfer for Unrigged Stylized 3D Characters](/publication/2023-06_zero-shot-pose-transfer-unrigged-stylized-3d-characters)

Jiashun Wang, [Xueting Li](/person/xueting-li), [Sifei Liu](/person/sifei-liu), [Shalini De Mello](/person/shalini-de-mello), Orazio Gallo, Xiaolong Wang, [Jan Kautz](/person/jan-kautz)



[IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023](https://openaccess.thecvf.com/content/CVPR2023/papers/Wang_Zero-Shot_Pose_Transfer_for_Unrigged_Stylized_3D_Characters_CVPR_2023_paper.pdf)









[Train Hard, Fight Easy: Robust Meta Reinforcement Learning](/publication/2023-06_train-hard-fight-easy-robust-meta-reinforcement-learning)

Ido Greenberg, [Shie Mannor](/person/shie-mannor), [Gal Chechik](/person/gal-chechik), [Eli Meirom](/person/eli-meirom)



[NeuroIPS 2023](https://arxiv.org/pdf/2301.11147)









[Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere](/publication/2023-06_spherical-fourier-neural-operators-learning-stable-dynamics-sphere)

[Boris Bonev](/person/boris-bonev), Thorsten Kurth, Christian Hundt, [Jaideep Pathak](/person/jaideep-pathak), Maximilian Baust, Karthik Kashinath, Anima Anandkumar



[PDF](https://proceedings.mlr.press/v202/bonev23a/bonev23a.pdf)









[Magic3D: High-Resolution Text-to-3D Content Creation](/publication/2023-06_magic3d-high-resolution-text-3d-content-creation)

[Chen-Hsuan Lin](/person/chen-hsuan-lin), Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, [Karsten Kreis](/person/karsten-kreis), Sanja Fidler, [Ming-Yu Liu](/person/ming-yu-liu), [Tsung-Yi Lin](/person/tsung-yi-lin)



[CVPR 2023 (Highlight)](https://cvpr2023.thecvf.com/)









[Neuralangelo: High-Fidelity Neural Surface Reconstruction](/publication/2023-06_neuralangelo-high-fidelity-neural-surface-reconstruction)

[Max Zhaoshuo Li](/person/max-zhaoshuo-li), [Thomas Müller](/person/thomas-muller), Alex Evans, Russell H. Taylor, Mathias Unberath, [Ming-Yu Liu](/person/ming-yu-liu), [Chen-Hsuan Lin](/person/chen-hsuan-lin)



[CVPR 2023](https://cvpr2023.thecvf.com/)



The Best Inventions of 2023, TIME Magazine





[Learning Autonomous Vehicle Safety Concepts from Demonstrations](/index.php/publication/2023-05_learning-autonomous-vehicle-safety-concepts-demonstrations)

[Karen Leung](/index.php/person/karen-leung), [Sushant Veer](/index.php/person/sushant-veer), [Edward Schmerling](/index.php/person/ed-schmerling), [Marco Pavone](/index.php/person/marco-pavone)



[American Control Conference (ACC) 2023](https://acc2023.a2c2.org/)









[Global and Reactive Motion Generation with Geometric Fabric Command Sequences](/publication/2023-05_global-and-reactive-motion-generation-geometric-fabric-command-sequences)

Weiming Zhi, [Iretiayo Akinola](/person/iretiayo-akinola), Karl Van Wyk, Nathan Ratliff, [Fabio Ramos](/person/fabio-ramos)



[IEEE International Conference on Robotics and Automation (ICRA) 2023](https://www.icra2023.org/)









[Guided Conditional Diffusion for Controllable Traffic Simulation](/publication/2023-05_guided-conditional-diffusion-controllable-traffic-simulation)

Ziyuan Zhong, Davis Rempe, [Danfei Xu](/person/danfei-xu), [Yuxiao Chen](/person/yuxiao-chen), [Sushant Veer](/person/sushant-veer), [Gerry Che](/person/gerry-che), Baishakhi Ray, [Marco Pavone](/person/marco-pavone)



[IEEE International Conference on Robotics and Automation (ICRA) 2023](https://www.icra2023.org/)









[Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation](/publication/2023-05_parallel-inversion-neural-radiance-fields-robust-pose-estimation)

Yunzhi Lin, [Thomas Müller](/person/thomas-muller), [Jonathan Tremblay](/person/jonathan-tremblay), [Bowen Wen](/person/bowen-wen), [Stephen Tyree](/person/stephen-tyree), Alex Evans, Patricio A. Vela, [Stan Birchfield](/person/stan-birchfield)



[ICRA 2023](https://www.icra2023.org/)









[Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning](/publication/2023-05_expanding-deployment-envelope-behavior-prediction-adaptive-meta-learning)

[Boris Ivanovic](/person/boris-ivanovic), James Harrison, [Marco Pavone](/person/marco-pavone)



[IEEE International Conference on Robotics and Automation (ICRA) 2023](https://www.icra2023.org/)









[ProgPrompt: Generating Situated Robot Task Plans Using Large Language Models](/publication/2023-05_progprompt-generating-situated-robot-task-plans-using-large-language-models)

Ishika Singh, [Valts Blukis](/person/valts-blukis), Arsalan Mousavian, [Ankit Goyal](/person/ankit-goyal), [Danfei Xu](/person/danfei-xu), [Jonathan Tremblay](/person/jonathan-tremblay), Dieter Fox, Jesse Thomason, Animesh Garg



[The International Conference on Robotics and Automation (ICRA)](https://www.icra2023.org/welcome)









[Tree-structured Policy Planning with Learned Behavior Models](/publication/2023-05_tree-structured-policy-planning-learned-behavior-models)

[Yuxiao Chen](/person/yuxiao-chen), [Peter Karkus](/person/peter-karkus), [Boris Ivanovic](/person/boris-ivanovic), [Xinshuo Weng](/person/xinshuo-weng), [Marco Pavone](/person/marco-pavone)



[IEEE International Conference on Robotics and Automation (ICRA) 2023](https://www.icra2023.org/)









[BITS: Bi-level Imitation for Traffic Simulation](/publication/2023-05_bits-bi-level-imitation-traffic-simulation)

[Danfei Xu](/person/danfei-xu), [Yuxiao Chen](/person/yuxiao-chen), [Boris Ivanovic](/person/boris-ivanovic), [Marco Pavone](/person/marco-pavone)



[IEEE International Conference on Robotics and Automation (ICRA) 2023](https://www.icra2023.org/)









[IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality](/publication/2023-05_industreal-transferring-contact-rich-assembly-tasks-simulation-reality)

Bingjie Tang, Michael A. Lin, [Iretiayo Akinola](/person/iretiayo-akinola), Ankur Handa, Gaurav S. Sukhatme, [Fabio Ramos](/person/fabio-ramos), Dieter Fox, [Yashraj Narang](/person/yashraj-narang)



[Paper](https://arxiv.org/abs/2305.17110)









[The Best Defense is a Good Offense: Adversarial Augmentation against Adversarial Attacks](/publication/2023-05_best-defense-good-offense-adversarial-augmentation-against-adversarial-attacks)

[Iuri Frosio](/person/iuri-frosio), [Jan Kautz](/person/jan-kautz)



[CVPR 2023](https://cvpr2023.thecvf.com/)









[Subpixel Deblurring of Anti-Aliased Raster Clip Art](/publication/2023-05_subpixel-deblurring-anti-aliased-raster-clip-art)

Jinfan Yang, [Nicholas Vining](/person/nicholas-vining), Shakiba Kheradmand, Nathan Carr, Leonid Sigal, Alla Sheffer



[Computer Graphics Forum (Proc. Eurographics 2023)](https://diglib.eg.org/handle/10.1111/cgf14744)









[CabiNet: Scaling Neural Collision Detection for Object Rearrangement with Procedural Scene Generation](/publication/2023-05_cabinet-scaling-neural-collision-detection-object-rearrangement-procedural)

[Adithya Murali](/person/adithya-murali), Arsalan Mousavian, Clemens Eppner, Adam Fishman, Dieter Fox



[International Conference on Robotics and Automation (ICRA)](https://arxiv.org/abs/2304.09302)









[CALM: Conditional Adversarial Latent Models for Directable Virtual Characters](/publication/2023-05_calm-conditional-adversarial-latent-models-directable-virtual-characters)

[Chen Tessler](/person/chen-tessler), [Yoni Kasten](/person/yoni-kasten), Yunrong Guo, [Shie Mannor](/person/shie-mannor), [Gal Chechik](/person/gal-chechik), Xue Bin Peng



[SIGGRAPH 2023](https://s2023.siggraph.org/)









[Real-Time Neural Appearance Models](/publication/2023-05_real-time-neural-appearance-models)

[Tizian Zeltner](/person/tizian-zeltner), [Fabrice Rousselle](/person/fabrice-rousselle), [Andrea Weidlich](/person/andrea-weidlich), [Petrik Clarberg](/person/petrik-clarberg), [Jan Novák](/person/jan-novak), [Benedikt Bitterli](/person/benedikt-bitterli), Alex Evans, [Tomáš Davidovič](/person/tomas-davidovic), [Simon Kallweit](/person/simon-kallweit), [Aaron Lefohn](/person/aaron-lefohn)



[TOG (Presented at SIGGRAPH 2024)](https://dl.acm.org/doi/pdf/10.1145/3659577)









[Recursive Control Variates for Inverse Rendering](/publication/2023-05_recursive-control-variates-inverse-rendering)

Baptiste Nicolet, [Fabrice Rousselle](/person/fabrice-rousselle), [Jan Novák](/person/jan-novak), [Alexander Keller](/person/alex-keller), Wenzel Jakob, [Thomas Müller](/person/thomas-muller)



[SIGGRAPH 2023](https://s2023.siggraph.org)









[GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation](/publication/2023-05_gpvit-high-resolution-non-hierarchical-vision-transformer-group-propagation)

Chenhongyi Yang, Jiarui Xu, [Shalini De Mello](/person/shalini-de-mello), Elliot J. Crowley, Xiaolong Wang



[International Conference on Learning Representations (ICLR) 2023](https://iclr.cc/virtual/2023/poster/11986)



Notable top 25%, Oral





[Robust and Controllable Object-Centric Learning through Energy-based Models](/publication/2023-05_robust-and-controllable-object-centric-learning-through-energy-based-models)

Ruixiang Zhang, [Gerry Che](/person/gerry-che), [Boris Ivanovic](/person/boris-ivanovic), Renhao Wang, [Marco Pavone](/person/marco-pavone), Yoshua Bengio, Liam Paull



[International Conference on Learning Representations (ICLR) 2023](https://iclr.cc/Conferences/2023)









[NVCell 2: Routability-Driven Standard Cell Layout in Advanced Nodes with Lattice Graph Routability Model](/publication/2023-03_nvcell-2-routability-driven-standard-cell-layout-advanced-nodes-lattice-graph)

[Chia-Tung (Mark) Ho](/person/chia-tung-mark-ho), Alvin Ho, [Matt Fojtik](/person/matt-fojtik), Minsoo Kim, Shang Wei, Yaguang LI, [Brucek Khailany](/person/brucek-khailany), Mark Haoxing Ren



[International Symposium on Physical Design 2023](https://ispd.cc/ispd2023/index.php)









[Reinforcement Learning Guided Detailed Routing for Custom Circuits](/publication/2023-03_reinforcement-learning-guided-detailed-routing-custom-circuits)

Hao Chen, Kai-Chieh Hsu, [Walker Turner](/person/walker-turner), Po-Hsuan Wei, Keren Zhu, David Z. Pan, Mark Haoxing Ren



[International Symposium on Physical Design 2023](https://ispd.cc/ispd2023/index.php)









[AutoDMP: Automated DREAMPlace-based Macro Placement](/publication/2023-03_autodmp-automated-dreamplace-based-macro-placement)

Anthony Agnesina, Puranjay Rajvanshi, Tian Yang, Geraldo Pradipta, Austin Jiao, [Ben Keller](/person/ben-keller), [Brucek Khailany](/person/brucek-khailany), Mark Haoxing Ren



[International Symposium on Physical Design 2023](https://ispd.cc/ispd2023/index.php)









[DREAM-GAN: Advancing DREAMPlace towards Commercial-Quality using Generative Adversarial Learning](/publication/2023-03_dream-gan-advancing-dreamplace-towards-commercial-quality-using-generative)

Yi-Chen Lu, Mark Haoxing Ren, Hao-Hsiang Hsiao, Sung Kyu Lim



[International Symposium on Physical Design 2023](https://ispd.cc/ispd2023/index.php)









[Joint Neural Denoising of Surfaces and Volumes](/publication/2023-03_joint-neural-denoising-surfaces-and-volumes)

Nikolai Hofmann, [Jon Hasselgren](/person/jon-hasselgren), [Jacob Munkberg](/person/jacob-munkberg)



[I3D 2023 ](https://i3dsymposium.org/2023/cfp.html)









[Equivariant Architectures for Learning in Deep Weight Spaces](/publication/2023-03_equivariant-architectures-learning-deep-weight-spaces)

Aviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, [Gal Chechik](/person/gal-chechik), [Haggai Maron](/person/haggai-maron)



[ICML 2023](https://openreview.net/pdf?id=SCU1xlr9Y4)









[Enabling Scalable AI Computational Lithography with Physics-Inspired Models](/publication/2023-02_enabling-scalable-ai-computational-lithography-physics-inspired-models)

[Haoyu Yang](/person/haoyu-yang), Mark Haoxing Ren



[2023 28th Asia and South Pacific Design Automation Conference (ASP-DAC)](https://ieeexplore.ieee.org/document/10044771)









[Target-free Text-guided Image Manipulation](/publication/2023-02_target-free-text-guided-image-manipulation)

Wan-Cyuan Fan, Cheng-Fu Yang, Chiao-An Yang, [Frank Wang](/person/frank-wang)



[AAAI 2023](https://aaai.org/Conferences/AAAI-23/)









[Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis](/publication/2023-02_frido-feature-pyramid-diffusion-complex-scene-image-synthesis)

Wan-Cyuan Fan, Yen-Chun Chen, Dongdong Chen, Yu Cheng, Lu Yuan, [Frank Wang](/person/frank-wang)



[AAAI 2023](https://aaai.org/Conferences/AAAI-23/)









[A 95.6-TOPS/W Deep Learning Inference Accelerator With Per-Vector Scaled 4-bit Quantization in 5 nm](/publication/2023-01_956-topsw-deep-learning-inference-accelerator-vector-scaled-4-bit-quantization)

[Ben Keller](/person/ben-keller), [Rangharajan Venkatesan](/person/rangharajan-venkatesan), [Steve Dai](/person/steve-dai), [Stephen Tell](/person/stephen-tell), [Brian Zimmer](/person/brian-zimmer), [Charbel Sakr](/person/charbel-sakr), [William Dally](/person/william-dally), [Tom Gray](/person/tom-gray), [Brucek Khailany](/person/brucek-khailany)



[Journal of Solid-State Circuits](https://ieeexplore.ieee.org/document/10019275)









[Never Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement Learning](/publication/2023-01_never-worse-mostly-better-stable-policy-improvement-deep-reinforcement-learning)

Pranav Khanna, Guy Tennenholtz, Nadav Merlis, [Shie Mannor](/person/shie-mannor), [Chen Tessler](/person/chen-tessler)



[AAMAS 2023](https://arxiv.org/abs/1910.01062)









[Self-Supervised Pyramid Representation Learning for Multi-Label Visual Analysis and Beyond](/index.php/publication/2023-01_self-supervised-pyramid-representation-learning-multi-label-visual-analysis-and)

Cheng-Yen Hsieh, Chih-Jung Chang, Fu-En Yang, [Frank Wang](/index.php/person/frank-wang)



[WACV 2023](https://wacv2023.thecvf.com/home)









### 2022 

[Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles](/publication/2022-12_task-relevant-failure-detection-trajectory-predictors-autonomous-vehicles)

Alec Farid, [Sushant Veer](/person/sushant-veer), [Boris Ivanovic](/person/boris-ivanovic), [Karen Leung](/person/karen-leung), [Marco Pavone](/person/marco-pavone)



[Conference on Robot Learning (CoRL) 2022](https://corl2022.org/)









[DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles](/publication/2022-12_diffstack-differentiable-and-modular-control-stack-autonomous-vehicles)

[Peter Karkus](/person/peter-karkus), [Boris Ivanovic](/person/boris-ivanovic), [Shie Mannor](/person/shie-mannor), [Marco Pavone](/person/marco-pavone)



[Conference on Robot Learning (CoRL) 2022](https://corl2022.org/)









[Robust Trajectory Prediction against Adversarial Attacks](/publication/2022-12_robust-trajectory-prediction-against-adversarial-attacks)

[Yulong Cao](/person/yulong-cao), [Danfei Xu](/person/danfei-xu), [Xinshuo Weng](/person/xinshuo-weng), Z. Morely Mao, Anima Anandkumar, [Chaowei Xiao](/person/chaowei-xiao), [Marco Pavone](/person/marco-pavone)



[Conference on Robot Learning (CoRL) 2022](https://corl2022.org/)



Selected for Oral Presentation





[Efficient Arithmetic Block Identification with Graph Learning and Network-flow](/index.php/publication/2022-12_efficient-arithmetic-block-identification-graph-learning-and-network-flow)

Ziyi Wang, Zhuolun He, Chen Bai, [Haoyu Yang](/index.php/person/haoyu-yang), Bei Yu



[ IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems ](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9975800)









[Deep Learning-Based Synchronization for Uplink NB-IoT](/publication/2022-12_deep-learning-based-synchronization-uplink-nb-iot)

[Fayçal Aït Aoudia ](/person/faycal-ait-aoudia), [Jakob Hoydis](/person/jakob-hoydis), [Sebastian Cammerer](/person/sebastian-cammerer), [Matthijs Van keirsbilck](/person/matthijs-van-keirsbilck), [Alex Keller](/person/alex-keller)



[IEEE Global Communications Conference 2022](https://ieeexplore.ieee.org/abstract/document/10001353)









[Graph Neural Networks for Channel Decoding](/publication/2022-12_graph-neural-networks-channel-decoding)

[Sebastian Cammerer](/person/sebastian-cammerer), [Jakob Hoydis](/person/jakob-hoydis), [Fayçal Aït Aoudia ](/person/faycal-ait-aoudia), [Alex Keller](/person/alex-keller)



[IEEE Globecom Workshops (GC Wkshps) 2022](https://ieeexplore.ieee.org/abstract/document/10008601/)









[HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression](/publication/2022-12_heat-hardware-efficient-automatic-tensor-decomposition-transformer-compression)

Jiaqi Gu, [Ben Keller](/person/ben-keller), [Jean Kossaifi](/person/jean-kossaifi), Anima Anandkumar, [Brucek Khailany](/person/brucek-khailany), David Z. Pan



[Workshop on ML for Systems at NeurIPS](http://mlforsystems.org)



Spotlight Paper





[An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design](/publication/2022-12_adversarial-active-sampling-based-data-augmentation-framework-manufacturable)

[Mingjie Liu](/person/mingjie-liu), [Haoyu Yang](/person/haoyu-yang), Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Selim Dogru, Anima Anandkumar, David Z. Pan, [Brucek Khailany](/person/brucek-khailany), Mark Haoxing Ren



[Workshop on ML for Systems at NeurIPS](http://mlforsystems.org/)









[LNS-Madam: Low-Precision Training in Logarithmic Number System Using Multiplicative Weight Update](/index.php/publication/2022-12_lns-madam-low-precision-training-logarithmic-number-system-using-multiplicative)

Jiawei Zhao, [Steve Dai](/index.php/person/steve-dai), [Rangharajan Venkatesan](/index.php/person/rangharajan-venkatesan), [Brian Zimmer](/index.php/person/brian-zimmer), Mustafa Ali, [Ming-Yu Liu](/index.php/person/ming-yu-liu), [Brucek Khailany](/index.php/person/brucek-khailany), [William Dally](/index.php/person/william-dally), Anima Anandkumar



[IEEE Transactions on Computers (Volume: 71, Issue: 12, 01 December 2022)](https://www.computer.org/csdl/journal/tc)









[Motion Policy Networks](/publication/2022-12_motion-policy-networks)

Adam Fishman, [Adithya Murali](/person/adithya-murali), Clemens Eppner, Bryan Peele, Byron Boots, Dieter Fox



[Conference on Robot Learning (CoRL), 2022](https://arxiv.org/abs/2210.12209)









["This is my unicorn, Fluffy": Personalizing frozen vision-language representations](/publication/2022-11_my-unicorn-fluffy-personalizing-frozen-vision-language-representations)

Niv Cohen, Rinon Gal, [Eli Meirom](/person/eli-meirom), [Gal Chechik](/person/gal-chechik), [Yuval Atzmon](/person/yuval-atzmon)



[ECCV 2022](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136800544.pdf)









[Elucidating the Design Space of Diffusion-Based Generative Models](/publication/2022-11_elucidating-design-space-diffusion-based-generative-models)

[Tero Karras](/person/tero-karras), [Miika Aittala](/person/miika-aittala), [Timo Aila](/person/timo-aila), [Samuli Laine](/person/samuli-laine)



[NeurIPS 2022 (oral)](https://nips.cc/Conferences/2022)



NeurIPS Outstanding Paper





[LION: Latent Point Diffusion Models for 3D Shape Generation](/publication/2022-11_lion-latent-point-diffusion-models-3d-shape-generation)

Xiaohui Zeng, [Arash Vahdat](/person/arash-vahdat), Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, [Karsten Kreis](/person/karsten-kreis)



[Neural Information Processing Systems (NeurIPS) 2022](https://arxiv.org/abs/2210.06978)









[Paraphrasing Is All You Need for Novel Object Captioning](/publication/2022-11_paraphrasing-all-you-need-novel-object-captioning)

Cheng-Fu Yang, Yao-Hung Hubert Tsai, Wan-Cyuan Fan, Ruslan Salakhutdinov, Louis-Philippe Morency, [Frank Wang](/person/frank-wang)



[NeurIPS 2022](https://nips.cc/)









[GENIE: Higher-Order Denoising Diffusion Solvers](/publication/2022-11_genie-higher-order-denoising-diffusion-solvers)

Tim Dockhorn, [Arash Vahdat](/person/arash-vahdat), [Karsten Kreis](/person/karsten-kreis)



[Neural Information Processing Systems (NeurIPS) 2022](https://arxiv.org/abs/2210.05475)









[SPoVT: Semantic-Prototype Variational Transformer for Dense Point Cloud Semantic Completion](/publication/2022-11_spovt-semantic-prototype-variational-transformer-dense-point-cloud-semantic)

Sheng-Yu Huang, Hao-Yu Hsu, [Yu-Chiang Frank Wang](/person/frank-wang)



[NeurIPS 2022](https://nips.cc/)









[Demystifying Map Space Exploration for NPUs](/publication/2022-11_demystifying-map-space-exploration-npus)

Sheng-Chun Kao, [Angshuman Parashar](/person/angshuman-parashar), [Po-An Tsai](/person/po-an-tsai), Tushar Krishna



[International Symposium on Workload Characterization (IISWC)](https://ieeexplore.ieee.org/document/9975389)









[Towards Adaptive Digital Self-Interference Cancellation in Full-Duplex Wireless Transceivers: APSM vs. Neural Networks](/publication/2022-10_towards-adaptive-digital-self-interference-cancellation-full-duplex-wireless)

M. Hossein Attar, Kaixin Chang, Ramez Askar, Slawomir Stanczak, [Sebastian Cammerer](/person/sebastian-cammerer), [Guillermo Marcus](/person/guillermo-marcus), [Alex Keller](/person/alex-keller)



[Asilomar Conference on Signals, Systems, and Computers 2022](https://ieeexplore.ieee.org/abstract/document/10052049)









[TransSizer: A Novel Transformer-Based Fast Gate Sizer](/publication/2022-10_transsizer-novel-transformer-based-fast-gate-sizer)

Siddhartha Nath, Geraldo Pradipta, Corey Hu, Tian Yang, [Brucek Khailany](/person/brucek-khailany), Mark Haoxing Ren



[2022 International Conference on Computer-Aided Design](https://iccad.com/)









[TAG: Learning Circuit Spatial Embedding from Layouts](/publication/2022-10_tag-learning-circuit-spatial-embedding-layouts)

Keren Zhu, Hao Chen, [Walker Turner](/person/walker-turner), George F. Kokai, Po-Hsuan Wei, David Z. Pan, Mark Haoxing Ren



[2022 International Conference on Computer-Aided Design](https://iccad.com)









[Why are Graph Neural Networks Effective for EDA Problems?](/publication/2022-10_why-are-graph-neural-networks-effective-eda-problems)

Mark Haoxing Ren, Siddhartha Nath, [Yanqing Zhang](/person/yanqing-zhang), Hao Chen, [Mingjie Liu](/person/mingjie-liu)



[2022 International Conference on Computer-Aided Design](https://iccad.com/)









[ Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty ](/index.php/publication/2022-10_heterogeneous-agent-trajectory-forecasting-incorporating-class-uncertainty)

[Boris Ivanovic](/index.php/person/boris-ivanovic), Kuan-Hui Lee, Pavel Tokmakov, Blake Wulfe, Adrien Gaidon, [Marco Pavone](/index.php/person/marco-pavone)



[IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022](https://iros2022.org/)









[Augmenting Legacy Networks for Flexible Inference.](/publication/2022-10_augmenting-legacy-networks-flexible-inference)

[Jason Clemons](/person/jason-clemons), [Iuri Frosio](/person/iuri-frosio), Maying Shen, Jose M. Alvarez, [Steve Keckler](/person/stephen-keckler)



[Workshop on Computational Aspects of Deep Learning (CADL)](https://ailb-web.ing.unimore.it/cadl2022/)









[AdvDO: Realistic Adversarial Attacks for Trajectory Prediction](/publication/2022-10_advdo-realistic-adversarial-attacks-trajectory-prediction)

[Yulong Cao](/person/yulong-cao), [Chaowei Xiao](/person/chaowei-xiao), Anima Anandkumar, [Danfei Xu](/person/danfei-xu), [Marco Pavone](/person/marco-pavone)



[European Conference on Computer Vision (ECCV) 2022](https://eccv2022.ecva.net/)









[LANA: Latency Aware Network Acceleration](/publication/2022-10_lana-latency-aware-network-acceleration)

[Pavlo Molchanov](/person/pavlo-molchanov), Jimmy Hall, [Hongxu Danny Yin](/person/danny-yin), [Jan Kautz](/person/jan-kautz), Nicolo Fusi, [Arash Vahdat](/person/arash-vahdat)



[European Conference on Computer Vision (ECCV), 2022](https://arxiv.org/abs/2107.10624)









[Generative Adversarial Neural Operators](/index.php/publication/2022-10_generative-adversarial-neural-operators)

Md Ashiqur Rahman, Manuel A. Florez, Anima Anandkumar, Zachary E. Ross, Kamyar Azizzadenesheli



[ Transactions on Machine Learning Research](https://arxiv.org/pdf/2205.03017.pdf)









[On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning](/publication/2022-10_covariate-shift-latent-confounders-imitation-and-reinforcement-learning)

Guy Tenneholtz, [Assaf Hallak](/person/assaf-hallak), [Gal Dalal](/person/gal-dalal), [Shie Mannor](/person/shie-mannor), [Gal Chechik](/person/gal-chechik)



[ICLR](https://iclr.cc/)









[XT-PRAGGMA: Crosstalk Pessimism Reduction Accessible by GPU Gate-level Simulations and Machine Learning](/publication/2022-09_xt-praggma-crosstalk-pessimism-reduction-accessible-gpu-gate-level-simulations)

Vidya Chhabria, [Ben Keller](/person/ben-keller), [Yanqing Zhang](/person/yanqing-zhang), Sandeep Vollala, Sreedhar Patty, Mark Haoxing Ren, [Brucek Khailany](/person/brucek-khailany)



[MLCAD '22: Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD](https://mlcad-workshop.org/)









[Placement Optimization via PPA-Directed Graph Clustering](/index.php/publication/2022-09_placement-optimization-ppa-directed-graph-clustering)

Yi-Chen Lu, Tian Yang, Sung Kyu Lim, Mark Haoxing Ren



[MLCAD '22: Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD](https://mlcad-workshop.org/)









[GPU-Accelerated Machine Learning in Non-Orthogonal Multiple Access](/index.php/publication/2022-08_gpu-accelerated-machine-learning-non-orthogonal-multiple-access)

Daniel Schäufele, [Guillermo Marcus](/index.php/person/guillermo-marcus), [Nikolaus Binder](/index.php/person/nikolaus-binder), Matthias Mehlhose, [Alex Keller](/index.php/person/alex-keller), Slawomir Stańczak



[2022 30th European Signal Processing Conference (EUSIPCO)](https://ieeexplore.ieee.org/document/9909865)









[Self Adaptive Reconfigurable Arrays (SARA): Learning Flexible GEMM Accelerator Configuration and Mapping-space using ML](/publication/2022-08_self-adaptive-reconfigurable-arrays-sara-learning-flexible-gemm-accelerator)

Ananda Samajdar, Eric Qin, [Michael Pellauer](/person/michael-pellauer), Tushar Krishna



[Design Automation Conference (DAC)](https://dl.acm.org/doi/abs/10.1145/3489517.3530506)









[Detecting Viewer-Perceived Intended Vector Sketch Connectivity](/index.php/publication/2022-08_detecting-viewer-perceived-intended-vector-sketch-connectivity)

Jerry Yin, Chenxi Liu, Rebecca Liu, [Nicholas Vining](/index.php/person/nicholas-vining), Helge Rhodin, Alla Sheffer



[ACM Transactions on Graphics (SIGGRAPH 2022)](https://s2022.siggraph.org/)









[Time-multiplexed Neural Holography: A Flexible Framework for Holographic Near-eye Displays with Fast Heavily-quantized Spatial Light Modulators](/publication/2022-08_time-multiplexed-neural-holography-flexible-framework-holographic-near-eye)

Suyeon Choi, Manu Gopakumar, Yifan Peng, [Jonghyun Kim](/person/jonghyun-kim), Matthew O'Toole, Gordon Wetzstein













[Holographic Glasses for Virtual Reality](/publication/2022-08_holographic-glasses-virtual-reality)

[Jonghyun Kim](/person/jonghyun-kim), Manu Gopakumar, Suyeon Choi, Yifan Peng, [Ward Lopes](/person/ward-lopes), Gordon Wetzstein



[SIGGRAPH 2022](https://www.youtube.com/watch?v=dGzj-AgI6RI)









[An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion](/publication/2022-08_image-worth-one-word-personalizing-text-image-generation-using-textual)

Rinon Gal, Yuval Alaluf, [Yuval Atzmon](/person/yuval-atzmon), Or Patashnik, Amit H. Bermano, [Gal Chechik](/person/gal-chechik), Daniel Cohen-Or



[ICLR 2023](https://iclr.cc/virtual/2023/oral/12700)



Top 25%





[Instant Neural Graphics Primitives with a Multiresolution Hash Encoding](/publication/2022-07_instant-neural-graphics-primitives-multiresolution-hash-encoding)

[Thomas Müller](/person/thomas-muller), Alex Evans, Christoph Schied, [Alex Keller](/person/alex-keller)



[ACM Transactions on Graphics (SIGGRAPH 2022)](https://s2022.siggraph.org)



Best Technical Paper, SIGGRAPH 2022, THE BEST INVENTIONS OF 2022, TIME





[Unbiased Inverse Volume Rendering With Differential Trackers](/publication/2022-07_unbiased-inverse-volume-rendering-differential-trackers)

Merlin Nimier-David, [Thomas Müller](/person/thomas-muller), [Alex Keller](/person/alex-keller), Wenzel Jakob



[ACM Transactions on Graphics (SIGGRAPH 2022)](https://s2022.siggraph.org)









[Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training](/publication/2022-07_optimal-clipping-and-magnitude-aware-differentiation-improved-quantization)

[Charbel Sakr](/person/charbel-sakr), [Steve Dai](/person/steve-dai), [Rangharajan Venkatesan](/person/rangharajan-venkatesan), [Brian Zimmer](/person/brian-zimmer), [Brucek Khailany](/person/brucek-khailany), [William Dally](/person/william-dally)



[2022 International Conference on Machine Learning (ICML)](https://arxiv.org/abs/2206.06501)









[Adaptive Neural Network-based OFDM Receivers](/publication/2022-07_adaptive-neural-network-based-ofdm-receivers)

Moritz Benedikt Fischer, Sebastian Dörner, [Sebastian Cammerer](/person/sebastian-cammerer), Takayuki Shimizu, Hongsheng Lu, Stephan ten Brink



[ IEEE International Workshop on Signal Processing Advances in Wireless Communic…](https://ieeexplore.ieee.org/document/9833970)









[Diffusion Models for Adversarial Purification](/publication/2022-07_diffusion-models-adversarial-purification)

Weili Nie, Brandon Guo, Yujia Huang, [Chaowei Xiao](/person/chaowei-xiao), [Arash Vahdat](/person/arash-vahdat), Anima Anandkumar



[International Conference on Machine Learning (ICML), 2022](https://arxiv.org/abs/2205.07460)









[GPU-Accelerated Partially Linear Multiuser Detection for 5G and Beyond URLLC Systems](/publication/2022-06_gpu-accelerated-partially-linear-multiuser-detection-5g-and-beyond-urllc)

Matthias Mehlhose, [Guillermo Marcus](/person/guillermo-marcus), Daniel Schäufele, Daniyal Amir Awan, [Nikolaus Binder](/person/nikolaus-binder), Martin Kasparick, Renato L. G. Cavalcante, Sławomir Stanćzak , [Alex Keller](/person/alex-keller)



[IEEE Access](https://ieeexplore.ieee.org/abstract/document/9810242)









[Correcting Robot Plans with Natural Language Feedback](/publication/2022-06_correcting-robot-plans-natural-language-feedback)

Pratyusha Sharma, [Balakumar Sundaralingam](/person/balakumar-sundaralingam), [Valts Blukis](/person/valts-blukis), Chris Paxton, [Tucker Hermans](/person/tucker-hermans), Antonio Torralba, Jacob Andreas, Dieter Fox



[Robotics Science and Systems (RSS) 2022](http://www.roboticsproceedings.org/rss18/index.html)









[Whose Track Is It Anyway? Improving Robustness to Tracking Errors with Affinity-Based Prediction](/index.php/publication/2022-06_whose-track-it-anyway-improving-robustness-tracking-errors-affinity-based)

[Xinshuo Weng](/index.php/person/xinshuo-weng), [Boris Ivanovic](/index.php/person/boris-ivanovic), Kris Kitani, [Marco Pavone](/index.php/person/marco-pavone)



[IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022](https://cvpr2022.thecvf.com/)









[ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning](/publication/2022-06_scept-scene-consistent-policy-based-trajectory-predictions-planning)

[Yuxiao Chen](/person/yuxiao-chen), [Boris Ivanovic](/person/boris-ivanovic), [Marco Pavone](/person/marco-pavone)



[IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022](https://cvpr2022.thecvf.com/)









[Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps](/publication/2022-06_polymorphic-gan-generating-aligned-samples-across-multiple-domains-learned)

Seung Wook Kim, [Karsten Kreis](/person/karsten-kreis), Daiqing Li, Antonio Torralba, Sanja Fidler



[Conference on Computer Vision and Pattern Recognition (CVPR) 2022 (Oral)](https://arxiv.org/abs/2206.02903)









[GroupViT: Semantic Segmentation Emerges from Text Supervision](/publication/2022-06_groupvit-semantic-segmentation-emerges-text-supervision)

Jiarui Xu, [Shalini De Mello](/person/shalini-de-mello), [Sifei Liu](/person/sifei-liu), [Wonmin Byeon](/person/wonmin-byeon), [Thomas Breuel](/person/thomas-breuel), [Jan Kautz](/person/jan-kautz), Xiaolong Wang



[IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022](https://cvpr2022.thecvf.com/)









[Efficient Geometry-aware 3D Generative Adversarial Networks](/publication/2022-06_efficient-geometry-aware-3d-generative-adversarial-networks)

Eric R. Chan, Connor Z. Lin, Matthew A. Chan, [Koki Nagano](/person/koki-nagano), Boxiao Pan, [Shalini De Mello](/person/shalini-de-mello), Orazio Gallo, Leonidas Guibas, [Jonathan Tremblay](/person/jonathan-tremblay), Sameh Khamis, [Tero Karras](/person/tero-karras), Gordon Wetzstein



[IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022](https://cvpr2022.thecvf.com/)



Oral





[BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations](/publication/2022-06_bigdatasetgan-synthesizing-imagenet-pixel-wise-annotations)

Daiqing Li, Huan Ling, Seung Wook Kim, [Karsten Kreis](/person/karsten-kreis), Adela Barriuso, Sanja Fidler, Antonio Torralba



[IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022](https://arxiv.org/abs/2201.04684)









[FreeSOLO: Learning to Segment Objects without Annotations](/publication/2022-06_freesolo-learning-segment-objects-without-annotations)

Xinlong Wang, [Zhiding Yu](/person/zhiding-yu), [Shalini De Mello](/person/shalini-de-mello), [Jan Kautz](/person/jan-kautz), Anima Anandkumar, Chunhua Shen, Jose M. Alvarez



[ IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022](https://cvpr2022.thecvf.com/)









[A 17–95.6 TOPS/W Deep Learning Inference Accelerator with Per-Vector Scaled 4-bit Quantization for Transformers in 5nm](/publication/2022-06_17-956-topsw-deep-learning-inference-accelerator-vector-scaled-4-bit)

[Ben Keller](/person/ben-keller), [Rangharajan Venkatesan](/person/rangharajan-venkatesan), [Steve Dai](/person/steve-dai), [Stephen Tell](/person/stephen-tell), [Brian Zimmer](/person/brian-zimmer), [William Dally](/person/william-dally), [Tom Gray](/person/tom-gray), [Brucek Khailany](/person/brucek-khailany)



[2022 Symposium on VLSI Technology &amp; Circuits Digest of Technical Papers](https://www.vlsisymposium.org)









[Optimizing tensor network contraction using reinforcement learning](/index.php/publication/2022-06_optimizing-tensor-network-contraction-using-reinforcement-learning)

[Eli Meirom](/index.php/person/eli-meirom), [Haggai Maron](/index.php/person/haggai-maron), [Shie Mannor](/index.php/person/shie-mannor), [Gal Chechik](/index.php/person/gal-chechik)



[International Conference on Machine Learning, PMLR 162:15278-15292, 2022](https://proceedings.mlr.press/v162/meirom22a.html)









[MTP: Multi-Hypothesis Tracking and Prediction for Reduced Error Propagation](/publication/2022-06_mtp-multi-hypothesis-tracking-and-prediction-reduced-error-propagation)

[Xinshuo Weng](/person/xinshuo-weng), [Boris Ivanovic](/person/boris-ivanovic), [Marco Pavone](/person/marco-pavone)



[IEEE Intelligent Vehicles Symposium (IV) 2022](https://iv2022.com/)









[Injecting Planning-Awareness into Prediction and Detection Evaluation](/publication/2022-06_injecting-planning-awareness-prediction-and-detection-evaluation)

[Boris Ivanovic](/person/boris-ivanovic), [Marco Pavone](/person/marco-pavone)



[IEEE Intelligent Vehicles Symposium (IV) 2022](https://iv2022.com/)









[Propagating State Uncertainty Through Trajectory Forecasting](/publication/2022-05_propagating-state-uncertainty-through-trajectory-forecasting)

[Boris Ivanovic](/person/boris-ivanovic), Yifeng Lin, Shubham Shrivastava, Punarjay Chakravarty, [Marco Pavone](/person/marco-pavone)



[IEEE International Conference on Robotics and Automation (ICRA) 2022](https://www.icra2022.org/)









[Factory: Fast Contact for Robotic Assembly](/publication/2022-05_factory-fast-contact-robotic-assembly)

[Yashraj Narang](/person/yashraj-narang), Kier Storey, [Iretiayo Akinola](/person/iretiayo-akinola), Miles Macklin, Philipp Reist, Lukasz Wawrzyniak, Yunrong Guo, Adam Moravanszky, Gavriel State, Michelle Lu, Ankur Handa, Dieter Fox













[StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators](/publication/2022-05_stylegan-nada-clip-guided-domain-adaptation-image-generators)

Rinon Gal, Or Patashnik, [Haggai Maron](/person/haggai-maron), Amir Bermano, [Gal Chechik](/person/gal-chechik), Daniel Cohen-Or



[SIGGRAPH 2022](https://s2022.siggraph.org/)









[MatBuilder: Mastering Sampling Uniformity Over Projections](/publication/2022-05_matbuilder-mastering-sampling-uniformity-over-projections)

Loïs Paulin, Nicolas Bonneel, David Coeurjolly, Jean-Claude Iehl, [Alex Keller](/person/alex-keller), Victor Ostromoukhov



[ACM Transactions on Graphics (SIGGRAPH 2022)](https://s2022.siggraph.org)









[Accelerated Policy Learning with Parallel Differentiable Simulation](/publication/2022-05_accelerated-policy-learning-parallel-differentiable-simulation)

[Jie Xu](/person/jie-xu), Viktor Makoviychuk, [Yashraj Narang](/person/yashraj-narang), [Fabio Ramos](/person/fabio-ramos), Wojciech Matusik, Animesh Garg, Miles Macklin



[International Conference on Learning Representations (ICLR) 2022](https://iclr.cc/Conferences/2022)









[Artificial Neural Networks generated by Low Discrepancy Sequences](/publication/2022-05_artificial-neural-networks-generated-low-discrepancy-sequences)

[Matthijs Van keirsbilck](/person/matthijs-van-keirsbilck), [Alex Keller](/person/alex-keller)



[arxiv link](https://arxiv.org/pdf/2103.03543.pdf)









[A Dataset and Explorer for 3D Signed Distance Functions](/index.php/sdf-explorer)

Towaki Takikawa, Andrew Glassner, Morgan McGuire



[Journal of Computer Graphics Techniques](https://www.jcgt.org)









[Neural Fields in Visual Computing and Beyond](/index.php/neuralfields)

Yiheng Xie, Towaki Takikawa, Shunsuke Saito, Or Litany, Shiqin Yan, Numair Khan, Federico Tombari, James Tompkin, Vincent Sitzmann, Srinath Sridhar



[Computer Graphics Forum (Eurographics 2022)](https://eg2022.univ-reims.fr/)









[Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design](/publication/2022-04_transform2act-learning-transform-and-control-policy-efficient-agent-design)

[Ye Yuan](/person/ye-yuan), Yuda Song, Zhengyi Luo, Wen Sun, Kris Kitani



International Conference on Learning Representations (ICLR) 2022 (Oral)









[Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators](/index.php/publication/2022-04_efficient-token-mixing-transformers-adaptive-fourier-neural-operators)















["This is my unicorn, Fluffy": Personalizing frozen vision-language representations](/publication/2022-04_my-unicorn-fluffy-personalizing-frozen-vision-language-representations)

Niv Cohen, Rinon Gal, [Gal Chechik](/person/gal-chechik), [Yuval Atzmon](/person/yuval-atzmon)



[ECCV 2022](https://eccv2022.ecva.net/)



Oral





[Sionna: An Open-Source Library for Next-Generation Physical Layer Research](/publication/2022-03_sionna-open-source-library-next-generation-physical-layer-research)

[Jakob Hoydis](/person/jakob-hoydis), [Sebastian Cammerer](/person/sebastian-cammerer), [Fayçal Aït Aoudia ](/person/faycal-ait-aoudia), Avinash Vem, [Nikolaus Binder](/person/nikolaus-binder), [Guillermo Marcus](/person/guillermo-marcus), [Alex Keller](/person/alex-keller)



[arXiv](https://arxiv.org/pdf/2203.11854.pdf)









[DefGraspSim: Physics-Based Simulation of Grasp Outcomes on 3D Deformable Objects](/publication/2022-03_defgraspsim-physics-based-simulation-grasp-outcomes-3d-deformable-objects)

Isabella Huang, [Yashraj Narang](/person/yashraj-narang), Clemens Eppner, [Balakumar Sundaralingam](/person/balakumar-sundaralingam), Miles Macklin, Ruzena Bajcsy, [Tucker Hermans](/person/tucker-hermans), Dieter Fox



[IEEE Robotics and Automation Letters](https://ieeexplore.ieee.org/document/9735347)









[DiGamma: Domain-aware Genetic Algorithm for HW-Mapping Co-optimization for DNN Accelerators](/publication/2022-03_digamma-domain-aware-genetic-algorithm-hw-mapping-co-optimization-dnn)

Sheng-Chun Kao, [Michael Pellauer](/person/michael-pellauer), [Angshuman Parashar](/person/angshuman-parashar), Tushar Krishna



[Design, Automation &amp; Test in Europe (DATE)](https://dl.acm.org/doi/abs/10.5555/3539845.3539906)









[Generic Lithography Modeling with Dual-band Optics-Inspired Neural Networks](/publication/2022-03_generic-lithography-modeling-dual-band-optics-inspired-neural-networks)

[Haoyu Yang](/person/haoyu-yang), Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, [Mark Kilgard](/person/mark-kilgard), Anima Anandkumar, [Brucek Khailany](/person/brucek-khailany), Vivek Singh, Mark Haoxing Ren



[2022 Design Automation Conference](https://www.dac.com)









[Cooperative Task and Motion Planning for Multi-Arm Assembly Systems](/publication/2022-03_cooperative-task-and-motion-planning-multi-arm-assembly-systems)

Jingkai Chen, Jiaoyang Li, Yijiang Huang, [Caelan Garrett](/person/caelan-garrett), Dawei Sun, Chuchu Fan, Andreas Hofmann, Caitlin Mueller, Sven Koenig, Brian Williams



<https://arxiv.org/abs/2203.02475>









[ Tackling the Generative Learning Trilemma with Denoising Diffusion GANs](/publication/2022-03_tackling-generative-learning-trilemma-denoising-diffusion-gans-0)

Zhisheng Xiao, [Karsten Kreis](/person/karsten-kreis), [Arash Vahdat](/person/arash-vahdat)



[International Conference on Learning Representations (ICLR) 2022 (Spotlight)](https://arxiv.org/abs/2112.07804)









[Score-Based Generative Modeling with Critically-Damped Langevin Diffusion](/publication/2022-03_score-based-generative-modeling-critically-damped-langevin-diffusion)

Tim Dockhorn, [Arash Vahdat](/person/arash-vahdat), [Karsten Kreis](/person/karsten-kreis)



[International Conference on Learning Representations (ICLR) 2022 (Spotlight)](https://arxiv.org/abs/2112.07068)









[Marvel: A Data-Centric Approach for Mapping Deep Learning Operators on Spatial Accelerators](/publication/2022-03_marvel-data-centric-approach-mapping-deep-learning-operators-spatial)

Prasanth Chatarasi, Hyoukjun Kwon, [Angshuman Parashar](/person/angshuman-parashar), [Michael Pellauer](/person/michael-pellauer), Tushar Krishna, Vivek Sarkar



[Transactions on Architecture and Code Optimization (TACO)](https://dl.acm.org/doi/full/10.1145/3485137)









[Reinforcement Learning for Datacenter Congestion Control](/publication/2022-02_reinforcement-learning-datacenter-congestion-control)

[Chen Tessler](/person/chen-tessler), Yuval Shpigelman, [Gal Dalal](/person/gal-dalal), Amit Mendelbaum, Doron Kazakov, Benjamin Fuhrer, [Gal Chechik](/person/gal-chechik), [Shie Mannor](/person/shie-mannor)



IAAI 2022









[Machine Learning and Algorithms: Let Us Team Up for EDA](/publication/2022-01_machine-learning-and-algorithms-let-us-team-eda)

Mark Haoxing Ren, [Brucek Khailany](/person/brucek-khailany), [Matt Fojtik](/person/matt-fojtik), [Yanqing Zhang](/person/yanqing-zhang)



[IEEE Design &amp; Test](https://ieee-ceda.org/publication/ieee-designtest)









### 2021 

[ATISS: Autoregressive Transformers for Indoor Scene Synthesis](/index.php/publication/2021-12_atiss-autoregressive-transformers-indoor-scene-synthesis)

Despoina Paschalidou, Amlan Kar, Maria Shugrina, [Karsten Kreis](/index.php/person/karsten-kreis), Andreas Geiger, Sanja Fidler



[Neural Information Processing Systems (NeurIPS) 2021](https://arxiv.org/abs/2110.03675)









[Alias-Free Generative Adversarial Networks](/publication/2021-12_alias-free-generative-adversarial-networks)

[Tero Karras](/person/tero-karras), [Miika Aittala](/person/miika-aittala), [Samuli Laine](/person/samuli-laine), Erik Härkönen, [Janne Hellsten](/person/janne-hellsten), Jaakko Lehtinen, [Timo Aila](/person/timo-aila)



[NeurIPS 2021](https://nips.cc/Conferences/2021)









[EditGAN: High-Precision Semantic Image Editing](/publication/2021-12_editgan-high-precision-semantic-image-editing)

Huan Ling, [Karsten Kreis](/person/karsten-kreis), Daiqing Li, Seung Wook Kim, Antonio Torralba, Sanja Fidler



[Neural Information Processing Systems (NeurIPS) 2021](https://arxiv.org/abs/2111.03186)









[NVCell: Standard Cell Layout in Advanced Technology Nodes with Reinforcement Learning](/publication/2021-12_nvcell-standard-cell-layout-advanced-technology-nodes-reinforcement-learning)

Mark Haoxing Ren, [Matt Fojtik](/person/matt-fojtik), [Brucek Khailany](/person/brucek-khailany)



Design Automation Conference (DAC) 2021 (Invited special session paper)









[Softermax: Hardware/Software Co-Design of an Efficient Softmax for Transformers](/publication/2021-12_softermax-hardwaresoftware-co-design-efficient-softmax-transformers)

Jacob R. Stevens, [Rangharajan Venkatesan](/person/rangharajan-venkatesan), [Steve Dai](/person/steve-dai), [Brucek Khailany](/person/brucek-khailany), Anand Raghunathan



[Design Automation Conference (DAC) 2021](https://www.dac.com/)









[KAMA: 3D Keypoint Aware Body Mesh Articulation](/publication/2021-12_kama-3d-keypoint-aware-body-mesh-articulation)

[Umar Iqbal](/person/umar-iqbal), Kevin Xie, Kelly Guo, [Jan Kautz](/person/jan-kautz), [Pavlo Molchanov](/person/pavlo-molchanov)



[International Conference on 3D Vision](https://3dv2021.surrey.ac.uk/)









[Standard vs. Learning-based Codecs for Real Time Endoscopic Video Transmission](/publication/2021-11_standard-vs-learning-based-codecs-real-time-endoscopic-video-transmission)

[Iuri Frosio](/person/iuri-frosio), Aldo Marzullo, Martina Golini, Elena De Momi, Michele Catellani, Francesco Calimeri, Giuseppe Fiameni



[AIABI-2021 Italian Workshop on Artificial Intelligence and Applications for Bus…](http://ceur-ws.org/Vol-3102/)









[Extracting Triangular 3D Models, Materials, and Lighting From Images](/publication/2021-11_extracting-triangular-3d-models-materials-and-lighting-images)

[Jacob Munkberg](/person/jacob-munkberg), [Jon Hasselgren](/person/jon-hasselgren), Tianchang Shen, Jun Gao, Wenzheng Chen, Alex Evans, [Thomas Müller](/person/thomas-muller), Sanja Fidler



[CVPR 2022 (Oral)](https://openaccess.thecvf.com/content/CVPR2022/papers/Munkberg_Extracting_Triangular_3D_Models_Materials_and_Lighting_From_Images_CVPR_2022_paper.pdf)









[Noise-Aware Video Saliency Prediction](/publication/2021-11_noise-aware-video-saliency-prediction)

[Ekta Prashnani](/person/ekta-prashnani), Orazio Gallo, [Joohwan Kim](/person/joohwan-kim), [Josef Spjut](/person/josef-spjut), Pradeep Sen, [Iuri Frosio](/person/iuri-frosio)



[The British Machine Vision Conference (BMVC) - 2021](https://www.bmvc2021.com/)









[A Contrastive Learning Approach for Training Variational Autoencoder Priors](/publication/2021-11_contrastive-learning-approach-training-variational-autoencoder-priors)

Jyoti Aneja, Alexander Schwing, [Jan Kautz](/person/jan-kautz), [Arash Vahdat](/person/arash-vahdat)



[Neural Information Processing Systems (NeurIPS) 2021](https://arxiv.org/abs/2010.02917)









[Controllable and Compositional Generation with Latent-Space Energy-Based Models](/index.php/publication/2021-11_controllable-and-compositional-generation-latent-space-energy-based-models)

Weili Nie, [Arash Vahdat](/index.php/person/arash-vahdat), Anima Anandkumar



[Neural Information Processing Systems (NeurIPS) 2021](https://arxiv.org/abs/2110.10873)









[Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence](/publication/2021-11_don-t-generate-me-training-differentially-private-generative-models-sinkhorn)

Tianshi Cao, Alex Bie, [Arash Vahdat](/person/arash-vahdat), Sanja Fidler, [Karsten Kreis](/person/karsten-kreis)



[Neural Information Processing Systems (NeurIPS) 2021](https://arxiv.org/abs/2111.01177)









[Score-based Generative Modeling in Latent Space](/publication/2021-11_score-based-generative-modeling-latent-space)

[Arash Vahdat](/person/arash-vahdat), [Karsten Kreis](/person/karsten-kreis), [Jan Kautz](/person/jan-kautz)



[Neural Information Processing Systems (NeurIPS) 2021](https://arxiv.org/abs/2106.05931)









[Speckle-free holography with partially coherent light sources and camera-in-the-loop calibration](/publication/2021-11_speckle-free-holography-partially-coherent-light-sources-and-camera-loop)

Yifan Peng, Suyeon Choi, [Jonghyun Kim](/person/jonghyun-kim), Gordon Wetzstein



[Science Advances](https://www.science.org/doi/10.1126/sciadv.abg5040)









[Graph Learning-Based Arithmetic Block Identification](/publication/2021-11_graph-learning-based-arithmetic-block-identification)

Zhuolun He, Ziyi Wang, Chen Bai, [Haoyu Yang](/person/haoyu-yang), Bei Yu



[ IEEE/ACM International Conference on Computer-Aided Design ](https://iccad.com/)









[Optimizing Selective Protection for CNN Resilience](/publication/2021-10_optimizing-selective-protection-cnn-resilience)

Abdulrahman Mahmoud, [Siva Hari](/person/siva-hari), Christopher W. Fletcher, Sarita V. Adve, [Charbel Sakr](/person/charbel-sakr), Naresh Shanbhag, [Pavlo Molchanov](/person/pavlo-molchanov), [Michael B. Sullivan](/person/mike-sullivan), Timothy Tsai, [Steve Keckler](/person/stephen-keckler)



[International Symposium on Software Reliability Engineering (ISSRE)](https://ieeexplore.ieee.org/document/9700317)









[Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction](/publication/2021-10_improve-agents-without-retraining-parallel-tree-search-policy-correction)

[Gal Dalal](/person/gal-dalal), [Assaf Hallak](/person/assaf-hallak), [Steven Dalton](/person/steven-dalton), [Iuri Frosio](/person/iuri-frosio), [Shie Mannor](/person/shie-mannor), [Gal Chechik](/person/gal-chechik)



[Advances in Neural Information Processing Systems 34 (NeurIPS 2021)](https://nips.cc/Conferences/2021/)









[Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators](/publication/2021-09_union-unified-hw-sw-co-design-ecosystem-mlir-evaluating-tensor-operations)

Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarasi, [Angshuman Parashar](/person/angshuman-parashar), [Po-An Tsai](/person/po-an-tsai), Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna



[Parallel Architectures and Compilation Techniques (PACT)](https://ieeexplore.ieee.org/document/9563040)









[Compressing 1D Time-Channel Separable Convolutions using Sparse Random Ternary Matrices](/index.php/publication/2021-08_compressing-1d-time-channel-separable-convolutions-using-sparse-random-ternary)

Goncalo Mordido, [Matthijs Van keirsbilck](/index.php/person/matthijs-van-keirsbilck), [Alex Keller](/index.php/person/alex-keller)



[Interspeech 2021](https://www.isca-speech.org/archive/pdfs/interspeech_2021/mordido21_interspeech.pdf)









[SiP-ML: high-bandwidth optical network interconnects for machine learning training](/publication/2021-08_sip-ml-high-bandwidth-optical-network-interconnects-machine-learning-training)

Mehrdad Khani, Manya Ghobadi, Mohammad Alizadeh, Ziyi Zhu, Madeleine Glick, Keren Bergman, Amin Vahdat, [Benjamin Klenk](/person/ben-klenk), Eiman Ebrahimi



[SIGCOMM '21: Proceedings of the 2021 ACM SIGCOMM 2021 Conference](https://dl.acm.org/doi/10.1145/3452296.3472900)









[Known unknowns: Learning novel concepts using exploratory reasoning-by-elimination](/publication/2021-07_known-unknowns-learning-novel-concepts-using-exploratory-reasoning-elimination)

Harsh Agrawal, [Eli Meirom](/person/eli-meirom), [Yuval Atzmon](/person/yuval-atzmon), [Shie Mannor](/person/shie-mannor), [Gal Chechik](/person/gal-chechik)



[ Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Inte…](https://www.auai.org/uai2021/accepted_papers)



Oral





[Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles](/publication/2021-07_generating-and-characterizing-scenarios-safety-testing-autonomous-vehicles)

Zahra Ghodsi, [Siva Hari](/person/siva-hari), [Iuri Frosio](/person/iuri-frosio), Timothy Tsai, Alejandro Troccoli, [Steve Keckler](/person/stephen-keckler), Siddharth Garg, Anima Anandkumar



[IEEE Intelligent Vehicles Symposium (IV)](https://ieeexplore.ieee.org/document/9576023)









[Improving Long-read Consensus Sequencing Accuracy with Deep Learning](/publication/2021-06_improving-long-read-consensus-sequencing-accuracy-deep-learning)

Avantika Lal, Michael Brown, Rahul Mohan, Joyjit Daw, James Drake, Johnny Israeli



[Biorxiv](https://www.biorxiv.org/content/10.1101/2021.06.28.450238v1)









[NeRF-Tex: Neural Reflectance Field Textures](/publication/2021-06_nerf-tex-neural-reflectance-field-textures)

Hendrik Baatz, Jonathan Granskog, Marios Papas, [Fabrice Rousselle](/person/fabrice-rousselle), [Jan Novák](/person/jan-novak)



[Eurographics Symposium on Rendering (EGSR)](https://egsr.eu/session/2021/Neural_Rendering/)









[Neural Scene Graph Rendering](/publication/2021-06_neural-scene-graph-rendering)

Jonathan Granskog, Till Schnabel, [Fabrice Rousselle](/person/fabrice-rousselle), [Jan Novák](/person/jan-novak)



ACM Transactions on Graphics









[Real-time Neural Radiance Caching for Path Tracing](/publication/2021-06_real-time-neural-radiance-caching-path-tracing)

[Thomas Müller](/person/thomas-muller), [Fabrice Rousselle](/person/fabrice-rousselle), [Jan Novák](/person/jan-novak), [Alex Keller](/person/alex-keller)



ACM Transactions on Graphics









[Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization](/publication/2021-06_semantic-segmentation-generative-models-semi-supervised-learning-and-strong-out)

Daiqing Li, Junlin Yang, [Karsten Kreis](/person/karsten-kreis), Antonio Torralba, Sanja Fidler



[IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021](https://arxiv.org/abs/2104.05833)









[One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing](/publication/2021-06_one-shot-free-view-neural-talking-head-synthesis-video-conferencing)

[Ting-Chun Wang](/person/ting-chun-wang), Arun Mallya, [Ming-Yu Liu](/person/ming-yu-liu)



[CVPR](https://cvpr2021.thecvf.com/)









[Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes](/nglod)

Towaki Takikawa, Joey Litalien, Kangxue Yin, [Karsten Kreis](/person/karsten-kreis), [Charles Loop](/person/charles-loop), Derek Nowrouzezahrai, Alec Jacobson, Morgan McGuire, Sanja Fidler



[IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021](https://cvpr2021.thecvf.com/)









[Weakly-Supervised Physically Unconstrained Gaze Estimation](/index.php/publication/2021-06_weakly-supervised-physically-unconstrained-gaze-estimation)

Rakshit Kothari, [Shalini De Mello](/index.php/person/shalini-de-mello), [Umar Iqbal](/index.php/person/umar-iqbal), [Wonmin Byeon](/index.php/person/wonmin-byeon), Seonwook Park, [Jan Kautz](/index.php/person/jan-kautz)



[IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021](http://cvpr2021.thecvf.com/)



Oral





[Learning to Track Instances without Video Annotations](/publication/2021-06_learning-track-instances-without-video-annotations)

Yang Fu, [Sifei Liu](/person/sifei-liu), [Umar Iqbal](/person/umar-iqbal), [Shalini De Mello](/person/shalini-de-mello), Humphrey Shi, [Jan Kautz](/person/jan-kautz)



[IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021](http://cvpr2021.thecvf.com/)



Oral





[Controlling graph dynamics with reinforcement learning and graph neural networks](/index.php/publication/2021-06_controlling-graph-dynamics-reinforcement-learning-and-graph-neural-networks-0)

[Eli Meirom](/index.php/person/eli-meirom), [Haggai Maron](/index.php/person/haggai-maron), [Shie Mannor](/index.php/person/shie-mannor), [Gal Chechik](/index.php/person/gal-chechik)



[ICML 2021](http://proceedings.mlr.press/v139/meirom21a/meirom21a.pdf)









[From local structures to size generalization in graph neural networks](/index.php/publication/2021-06_local-structures-size-generalization-graph-neural-networks)

Gilad Yehudai, Ethan Fetaya, [Eli Meirom](/index.php/person/eli-meirom), [Gal Chechik](/index.php/person/gal-chechik), [Haggai Maron](/index.php/person/haggai-maron)



[ICML 2021](http://proceedings.mlr.press/v139/yehudai21a/yehudai21a.pdf)









[VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models](/publication/2021-06_vaebm-symbiosis-between-variational-autoencoders-and-energy-based-models)

Zhisheng Xiao, [Karsten Kreis](/person/karsten-kreis), [Jan Kautz](/person/jan-kautz), [Arash Vahdat](/person/arash-vahdat)



[International Conference on Learning Representations (ICLR) 2021 (Spotlight)](https://arxiv.org/abs/2010.00654)









[ACRONYM: A Large-Scale Grasp Dataset Based on Simulation](/publication/2021-05_acronym-large-scale-grasp-dataset-based-simulation)

Clemens Eppner, Arsalan Mousavian, Dieter Fox



[2021 IEEE International Conference on Robotics and Automation (ICRA)](https://ieeexplore.ieee.org/document/9560844)









[Simba: scaling deep-learning inference with chiplet-based architecture](/publication/2021-05_simba-scaling-deep-learning-inference-chiplet-based-architecture)

Yakun Sophia Shao, [Jason Clemons](/person/jason-clemons), [Rangharajan Venkatesan](/person/rangharajan-venkatesan), [Brian Zimmer](/person/brian-zimmer), [Matt Fojtik](/person/matt-fojtik), [Ted Jiang](/person/ted-jiang), [Ben Keller](/person/ben-keller), Alicia Klinefelter, [Nathaniel Pinckney](/person/nathaniel-pinckney), Priyanka Raina, [Stephen Tell](/person/stephen-tell), [Yanqing Zhang](/person/yanqing-zhang), [William Dally](/person/william-dally), [Joel Emer](/person/joel-emer), [Tom Gray](/person/tom-gray), [Brucek Khailany](/person/brucek-khailany), [Steve Keckler](/person/stephen-keckler)



[Communications of the ACM](https://dl.acm.org/doi/10.1145/3460227)



ACM Research Highlight





[Contrastive Syn-to-Real Generalization](/index.php/publication/2021-05_contrastive-syn-real-generalization)

Wuyang Chen, [Zhiding Yu](/index.php/person/zhiding-yu), [Shalini De Mello](/index.php/person/shalini-de-mello), [Sifei Liu](/index.php/person/sifei-liu), Jose M. Alvarez, Zhangyang Wang, Anima Anandkumar



[International Conference on Learning Representations (ICLR) 2021](https://openreview.net/group?id=ICLR.cc/2021/Conference)









[GAMMA: Exploiting Gustavson’s Algorithm to Accelerate Sparse Matrix Multiplication](/publication/2021-04_gamma-exploiting-gustavson-s-algorithm-accelerate-sparse-matrix-multiplication)

Guowei Zhang, Nithya Attaluri, [Joel Emer](/person/joel-emer), Daniel Sanchez



[International Conference on Architectural Support for Programming Languages and…](https://dl.acm.org/doi/10.1145/3445814.3446702)









[Appearance-Driven Automatic 3D Model Simplification](/index.php/publication/2021-04_appearance-driven-automatic-3d-model-simplification)

[Jon Hasselgren](/index.php/person/jon-hasselgren), [Jacob Munkberg](/index.php/person/jacob-munkberg), [Jaakko Lehtinen](/index.php/person/jaakko-lehtinen), [Miika Aittala](/index.php/person/miika-aittala), [Samuli Laine](/index.php/person/samuli-laine)



EGSR 2021









[VS-QUANT: Per-Vector Scaled Quantization for Accurate Low-Precision Neural Network Inference](/publication/2021-04_vs-quant-vector-scaled-quantization-accurate-low-precision-neural-network)

[Steve Dai](/person/steve-dai), [Rangharajan Venkatesan](/person/rangharajan-venkatesan), Mark Haoxing Ren, [Brian Zimmer](/person/brian-zimmer), [William Dally](/person/william-dally), [Brucek Khailany](/person/brucek-khailany)



[MLSys 2021](https://mlsys.org/)









[Auxiliary Learning by Implicit Differentiation](/publication/2021-04_auxiliary-learning-implicit-differentiation)

Aviv Navon, Idan Achituve, [Haggai Maron](/person/haggai-maron), [Gal Chechik](/person/gal-chechik), Ethan Fetaya



[ICLR 2021](https://arxiv.org/abs/2007.02693)









[On the Universality of Rotation Equivariant Point Cloud Networks](/publication/2021-04_universality-rotation-equivariant-point-cloud-networks)

Nadav Dym, [Haggai Maron](/person/haggai-maron)



[ICLR 2021](https://arxiv.org/abs/2010.02449)









[Learning the Pareto Front with Hypernetworks](/publication/2021-04_learning-pareto-front-hypernetworks)

Aviv Navon, Aviv Shamsian, Ethan Fetaya, [Gal Chechik](/person/gal-chechik)



[ICLR | 2021](https://iclr.cc/)









[Learning Sparse Matrix Row Permutations for Efficient SpMM on GPU Architectures](/publication/2021-03_learning-sparse-matrix-row-permutations-efficient-spmm-gpu-architectures)

Atefeh Mehrabi, [Donghyuk Lee](/person/donghyuk-lee), [Niladrish Chatterjee](/person/niladrish-chatterjee), Danial J. Sorin, Benjamin C. Lee, [Mike O'Connor](/person/mike-o-connor)



[International Symposium on Performance Analysis of Systems and Software (ISPASS)](https://ieeexplore.ieee.org/document/9408181)









[Robust Vision-Based Cheat Detection in Competitive Gaming](/publication/2021-03_robust-vision-based-cheat-detection-competitive-gaming)

Aditya Jonnalagadda, [Iuri Frosio](/person/iuri-frosio), Seth Schenider, Morgan McGuire, [Joohwan Kim](/person/joohwan-kim)



[I3D ’21](http://i3dsymposium.github.io/2021/)









[Interactive Path Tracing and Reconstruction of Sparse Volumes](/publication/2021-03_interactive-path-tracing-and-reconstruction-sparse-volumes)

Nikolai Hofmann, [Jon Hasselgren](/person/jon-hasselgren), [Petrik Clarberg](/person/petrik-clarberg), [Jacob Munkberg](/person/jacob-munkberg)



[Proceedings of the ACM on Computer Graphics and Interactive Techniques](https://dl.acm.org/loi/pacmcgit)



Best Paper Presentation, i3D 2021





[Deep Learning-based Enhancement of Epigenomics Data with AtacWorks](/publication/2021-03_deep-learning-based-enhancement-epigenomics-data-atacworks)

Avantika Lal, Zachary D Chiang, Nikolai Yakovenko, Fabiana M Duarte, Johnny Israeli, Jason D Buenrostro



[Nature Communications](https://www.nature.com/articles/s41467-021-21765-5)









[Making Convolutions Resilient via Algorithm-Based Error Detection Techniques](/publication/2021-03_making-convolutions-resilient-algorithm-based-error-detection-techniques)

[Siva Hari](/person/siva-hari), [Michael B. Sullivan](/person/mike-sullivan), Timothy Tsai, [Steve Keckler](/person/stephen-keckler)



[IEEE Transactions on Dependable and Secure Computing (TDSC)](https://ieeexplore.ieee.org/document/9366780)









[Heterogeneous Dataflow Accelerators for Multi-DNN Workloads](/publication/2021-02_heterogeneous-dataflow-accelerators-multi-dnn-workloads)

Hyoukjun Kwon, Liangzhen Lai, [Michael Pellauer](/person/michael-pellauer), Tushar Krishna, Yu-Hsin Chen, Vikas Chandra



[International Symposium on High-Performance Computer Architecture (HPCA)](https://ieeexplore.ieee.org/document/9407116)









[Parasitic-Aware Analog Circuit Sizing with Graph Neural Networks and Bayesian Optimization](/publication/2021-02_parasitic-aware-analog-circuit-sizing-graph-neural-networks-and-bayesian)

Mingjie Liu, [Walker Turner](/person/walker-turner), George Kokai, David Z. Pan, [Brucek Khailany](/person/brucek-khailany), Mark Haoxing Ren



[2021 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)](https://www.date-conference.com/)









[MAVIREC: ML-Aided Vectored IR-Drop Estimation and Classification](/publication/2021-02_mavirec-ml-aided-vectored-ir-drop-estimation-and-classification)

Vidya A. Chhabria, [Yanqing Zhang](/person/yanqing-zhang), Mark Haoxing Ren, [Ben Keller](/person/ben-keller), [Brucek Khailany](/person/brucek-khailany), Sachin S. Sapatnekar



[2021 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)](https://www.date-conference.com/)









[Planning and Learning with Adaptive Lookahead](/publication/2021-01_planning-and-learning-adaptive-lookahead)

Aviv Rosenberg, [Assaf Hallak](/person/assaf-hallak), [Shie Mannor](/person/shie-mannor), [Gal Chechik](/person/gal-chechik), [Gal Dalal](/person/gal-dalal)



[Arxiv](https://arxiv.org/abs/2201.12403)









[Federated Learning with Heterogeneous Architectures using Graph HyperNetworks](/publication/2021-01_federated-learning-heterogeneous-architectures-using-graph-hypernetworks)

Or Litany, [Haggai Maron](/person/haggai-maron), David Acuna, [Jan Kautz](/person/jan-kautz), [Gal Chechik](/person/gal-chechik), Sanja Fidler













[Standard Cell Routing with Reinforcement Learning and Genetic Algorithm in Advanced Technology Nodes](/publication/2021-01_standard-cell-routing-reinforcement-learning-and-genetic-algorithm-advanced)

Mark Haoxing Ren, [Matt Fojtik](/person/matt-fojtik)



[ 26th Asia and South Pacific Design Automation Conference (ASP-DAC) 2021](https://www.aspdac.com/aspdac2021/)









[Self-Supervised Learning for Domain Adaptation on Point-Clouds](/publication/2021-01_self-supervised-learning-domain-adaptation-point-clouds)

Idan Achituve, [Haggai Maron](/person/haggai-maron), [Gal Chechik](/person/gal-chechik)



[Winter Conference on Applications of Computer Vision (WACV), 2021](https://arxiv.org/pdf/2003.12641.pdf)









[From Generalized Zero-Shot Learning to Long-Tail with Class Descriptors](/publication/2021-01_generalized-zero-shot-learning-long-tail-class-descriptors)

Dvir Samuel, [Yuval Atzmon](/person/yuval-atzmon), [Gal Chechik](/person/gal-chechik)



[Winter Conference on Applications of Computer Vision (WACV) 2021](http://wacv2021.thecvf.com/home)









[Acting in Delayed Environments with Non-Stationary Markov Policies](/publication/2021-01_acting-delayed-environments-non-stationary-markov-policies)

Esther Derman, [Gal Dalal](/person/gal-dalal), [Shie Mannor](/person/shie-mannor)



ICLR 2021









[Flexion: A Quantitative Metric for Flexibility in DNN Accelerators](/publication/2021-01_flexion-quantitative-metric-flexibility-dnn-accelerators)

Hyoukjun Kwon, [Michael Pellauer](/person/michael-pellauer), [Angshuman Parashar](/person/angshuman-parashar), Tushar Krishna



[IEEE Computer Architecture Letters (CAL)](https://ieeexplore.ieee.org/document/9293373)









### 2020 

[NVCell: Generate Standard Cell Layout in Advanced Technology Nodes with Reinforcement Learning](/publication/2020-12_nvcell-generate-standard-cell-layout-advanced-technology-nodes-reinforcement)

Mark Haoxing Ren, [Matt Fojtik](/person/matt-fojtik), [Brucek Khailany](/person/brucek-khailany)



[ Workshop on ML for Systems at NeurIPS](https://mlforsystems.org/assets/papers/neurips2020/nvcell_ren_2020.pdf)









[Set2Graph: Learning Graphs From Sets](/publication/2020-12_set2graph-learning-graphs-sets)

Hadar Serviansky, Nimrod Segol, Jonathan Shlomi, Kyle Cranmer, Eilam Gross, [Haggai Maron](/person/haggai-maron), Yaron Lipman



[Conference on Neural Information Processing Systems (NeurIPS 2020)](https://arxiv.org/pdf/2002.08772.pdf)









[Online Adaptation for Consistent Mesh Reconstruction in the Wild](/publication/2020-12_online-adaptation-consistent-mesh-reconstruction-wild)

Xueting Li, [Sifei Liu](/person/sifei-liu), [Shalini De Mello](/person/shalini-de-mello), Kihwan Kim, Xiaolong Wang, Ming-Hsuan Yang, [Jan Kautz](/person/jan-kautz)



[Neural Information Processing Systems (NeurIPS) 2020](https://nips.cc/virtual/2020/public/poster_aba3b6fd5d186d28e06ff97135cade7f.html)









[Self-Learning Transformations for Improving Gaze and Head Redirection](/publication/2020-12_self-learning-transformations-improving-gaze-and-head-redirection)

Yufeng Zheng, Seonwook Park, Xucong Zhang, [Shalini De Mello](/person/shalini-de-mello), Otmar Hilliges



[ Neural Information Processing Systems (NeurIPS) 2020](https://proceedings.neurips.cc/paper/2020)









[A Causal View of Compositional Zero-Shot Recognition](/publication/2020-12_causal-view-compositional-zero-shot-recognition)

[Yuval Atzmon](/person/yuval-atzmon), Felix Kreuk, Uri Shalit, [Gal Chechik](/person/gal-chechik)



[Neural Information Processing Systems (NeurIPS) 2020 (Spotlight)](https://neurips.cc/Conferences/2020/)









[Neural Networks with Recurrent Generative Feedback](/publication/2020-12_neural-networks-recurrent-generative-feedback)

Yujia Huang, James Gornet, Sihui Dai, [Zhiding Yu](/person/zhiding-yu), Tan Nguyen, Doris Y. Tsao, Anima Anandkumar



[Conference on Neural Information Processing Systems (NeurIPS) 2020](https://nips.cc/Conferences/2020)









[Learning Deformable Tetrahedral Meshes for 3D Reconstruction](/index.php/publication/2020-12_learning-deformable-tetrahedral-meshes-3d-reconstruction)

Jun Gao, Wenzheng Chen, Tommy Xiang, Clement Fuji Tsang, Alec Jacobson, Morgan McGuire



[NeurIPS](https://nips.cc/)









[Accelerating Reinforcement Learning through GPU Atari Emulation](/index.php/publication/2020-12_accelerating-reinforcement-learning-through-gpu-atari-emulation)

[Iuri Frosio](/index.php/person/iuri-frosio), [Steven Dalton](/index.php/person/steven-dalton)



[Advances in Neural Information Processing Systems 33 (NeurIPS 2020)](https://nips.cc/Conferences/2020)









[Convolutional Tensor-Train LSTM for Spatio-Temporal Learning](/index.php/publication/2020-12_convolutional-tensor-train-lstm-spatio-temporal-learning)

Jiahao Su, [Wonmin Byeon](/index.php/person/wonmin-byeon), [Jean Kossaifi](/index.php/person/jean-kossaifi), Furong Huang, [Jan Kautz](/index.php/person/jan-kautz), Anima Anandkumar



[Advances in Neural Information Processing Systems (NeurIPS)](https://papers.nips.cc/paper/2020/hash/9e1a36515d6704d7eb7a30d783400e5d-Abstract.html)









[Variational Amodal Object Completion](/publication/2020-12_variational-amodal-object-completion)

Huan Ling, David Acuna, [Karsten Kreis](/person/karsten-kreis), Seung Wook Kim, Sanja Fidler



[Neural Information Processing Systems (NeurIPS) 2020](https://papers.nips.cc/paper/2020/hash/bacadc62d6e67d7897cef027fa2d416c-Abstract.html)









[Training Generative Adversarial Networks with Limited Data](/publication/2020-12_training-generative-adversarial-networks-limited-data)

[Tero Karras](/person/tero-karras), [Miika Aittala](/person/miika-aittala), [Janne Hellsten](/person/janne-hellsten), [Samuli Laine](/person/samuli-laine), [Jaakko Lehtinen](/person/jaakko-lehtinen), [Timo Aila](/person/timo-aila)



[NeurIPS 2020](https://nips.cc/Conferences/2020)









[Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning](/publication/2020-12_bongard-logo-new-benchmark-human-level-concept-learning-and-reasoning)

Weili Nie, [Zhiding Yu](/person/zhiding-yu), Lei Mao, Ankit B. Patel, [Yuke Zhu](/person/yuke-zhu), Anima Anandkumar



[Conference on Neural Information Processing Systems (NeurIPS) 2020 (Spotlight)](https://nips.cc/Conferences/2020)









[Neural FFTs for Universal Texture Image Synthesis](/index.php/publication/2020-12_neural-ffts-universal-texture-image-synthesis)

[Morteza Mardani](/index.php/person/morteza-mardani), Guilin Liu, Aysegul Dundar, Shiqiu Liu, Andrew Tao, Bryan Catanzaro



[NeurIPS 2020](https://proceedings.neurips.cc/paper/2020/hash/a23156abfd4a114c35b930b836064e8b-Abstract.html)









[Neural Control Variates](/publication/2020-11_neural-control-variates)

[Thomas Müller](/person/thomas-muller), [Fabrice Rousselle](/person/fabrice-rousselle), [Alex Keller](/person/alex-keller), [Jan Novák](/person/jan-novak)



[ACM Transactions on Graphics (SIGGRAPH Asia)](https://dl.acm.org/doi/abs/10.1145/3414685.3417804)









[ZEST: Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization](/index.php/publication/2020-11_zest-zero-shot-learning-text-descriptions-using-textual-similarity-and-visual)

Tzuf Paz-Argaman, [Yuval Atzmon](/index.php/person/yuval-atzmon), [Gal Chechik](/index.php/person/gal-chechik), Reut Tsarfaty



[Findings of EMNLP](https://2020.emnlp.org/)









[Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles](/publication/2020-11_generating-and-characterizing-scenarios-safety-testing-autonomous-vehicles-0)

Zahra Ghodsi, [Siva Hari](/person/siva-hari), [Iuri Frosio](/person/iuri-frosio), Timothy Tsai, Alejandro Troccoli, [Steve Keckler](/person/stephen-keckler), Siddharth Garg, Anima Anandkumar



[IEEE International Workshop on Automotive Reliability &amp; Test (ART)](https://www.ieee-tttc.org/ebshistory/2020/%5BPUB%5D%5BART_2020%5D_Fifth_IEEE_International_Workshop_on_Automotive_Reliability_&_Test_-_CALL_FOR_SUBMISSIONS_-_%22IEEE_TTTC's_EBS%22_%3Cebs@ieee-tttc.org%3E_-_2020-09-08_1209.eml.html)









[Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles](/publication/2020-11_generating-and-characterizing-scenarios-safety-testing-autonomous-vehicles)

Zahra Ghodsi, [Siva Hari](/person/siva-hari), [Iuri Frosio](/person/iuri-frosio), Timothy Tsai, Alejandro Troccoli, [Steve Keckler](/person/stephen-keckler), Siddharth Garg, Anima Anandkumar



[IEEE Automotive Reliability and Test Workshop](http://cas.polito.it/ART2020/)









[Modular Primitives for High-Performance Differentiable Rendering](/publication/2020-11_modular-primitives-high-performance-differentiable-rendering)

[Samuli Laine](/person/samuli-laine), [Janne Hellsten](/person/janne-hellsten), [Tero Karras](/person/tero-karras), Yeongho Seol, [Jaakko Lehtinen](/person/jaakko-lehtinen), [Timo Aila](/person/timo-aila)



[ACM Transactions on Graphics 39(6) (Proc. SIGGRAPH Asia 2020)](https://dl.acm.org/doi/abs/10.1145/3414685.3417861)









[Learning Object Permanence from Video](/publication/2020-10_learning-object-permanence-video)

Aviv Shamsian, Ofri Kleinfeld, Amir Globerson, [Gal Chechik](/person/gal-chechik)



[ECCV 2020](https://arxiv.org/abs/2006.15327)









[A Programmable Approach to Neural Network Compression](/publication/2020-10_programmable-approach-neural-network-compression)

Vinu Joseph, Ganesh L. Gopalakrishnan, [Saurav Muralidharan](/person/saurav-muralidharan), [Michael Garland](/person/michael-garland), Animesh Garg



[IEEE Micro: Special Issue on Machine Learning for Systems](https://ieeexplore.ieee.org/document/9151283)









[Accelerating Chip Design with Machine Learning](/publication/2020-09_accelerating-chip-design-machine-learning)

[Brucek Khailany](/person/brucek-khailany), Mark Haoxing Ren, [Steve Dai](/person/steve-dai), Saad Godil, [Ben Keller](/person/ben-keller), Robert Kirby, Alicia Klinefelter, [Rangharajan Venkatesan](/person/rangharajan-venkatesan), [Yanqing Zhang](/person/yanqing-zhang), Bryan Catanzaro, [William Dally](/person/william-dally)



[IEEE Micro](https://ieeexplore.ieee.org/document/9205654)









[HarDNN: Fine-Grained Vulnerability Evaluation and Protection for Convolutional Neural Networks](/publication/2020-09_hardnn-fine-grained-vulnerability-evaluation-and-protection-convolutional)

Abdulrahman Mahmoud, [Siva Hari](/person/siva-hari), Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh Shanbhag, [Pavlo Molchanov](/person/pavlo-molchanov), [Michael B. Sullivan](/person/mike-sullivan), Timothy Tsai, [Steve Keckler](/person/stephen-keckler)



[SRC TECHCON](https://src.secure-platform.com/a/page/techcon)









[UNAS: Differentiable Architecture Search Meets Reinforcement Learning](/publication/2020-08_unas-differentiable-architecture-search-meets-reinforcement-learning)

[Arash Vahdat](/person/arash-vahdat), Arun Mallya, [Ming-Yu Liu](/person/ming-yu-liu), [Jan Kautz](/person/jan-kautz)



[IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021](https://arxiv.org/abs/1912.07651)









[UFO2: A Unified Framework towards Omni-supervised Object Detection](/index.php/publication/2020-08_ufo2-unified-framework-towards-omni-supervised-object-detection)

Zhongzheng Ren, [Zhiding Yu](/index.php/person/zhiding-yu), Xiaodong Yang, [Ming-Yu Liu](/index.php/person/ming-yu-liu), Alexander G. Schwing, [Jan Kautz](/index.php/person/jan-kautz)



[European Conference on Computer Vision (ECCV) 2020](https://eccv2020.eu/)









[Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification](/publication/2020-08_joint-disentangling-and-adaptation-cross-domain-person-re-identification)

Yang Zou, Xiaodong Yang, [Zhiding Yu](/person/zhiding-yu), B. V. K. Vijaya Kumar, [Jan Kautz](/person/jan-kautz)



[European Conference on Computer Vision (ECCV) 2020 (Oral)](https://eccv2020.eu/)









[Self-supervised Single-view 3D Reconstruction via Semantic Consistency](/publication/2020-08_self-supervised-single-view-3d-reconstruction-semantic-consistency)

Xueting Li, [Sifei Liu](/person/sifei-liu), Kihwan Kim, [Shalini De Mello](/person/shalini-de-mello), Varun Jampani, Ming-Hsuan Yang, [Jan Kautz](/person/jan-kautz)



[European Conference on Computer Vision (ECCV) 2020](https://eccv2020.eu/)









[Weakly-Supervised 3D Hand Pose Estimation via Biomechanical Constraints ](/publication/2020-08_weakly-supervised-3d-hand-pose-estimation-biomechanical-constraints)

Adrian Spurr, [Umar Iqbal](/person/umar-iqbal), [Pavlo Molchanov](/person/pavlo-molchanov), Otmar Hilliges, [Jan Kautz](/person/jan-kautz)



[European Conference on Computer Vision, 2020](https://eccv2020.eu/)









[World-Consistent Video-to-Video Synthesis](/publication/2020-08_world-consistent-video-video-synthesis)

Arun Mallya, [Ting-Chun Wang](/person/ting-chun-wang), Karan Sapra, [Ming-Yu Liu](/person/ming-yu-liu)



[ECCV](https://eccv2020.eu/)









[ParaGraph: Layout Parasitics and Device Parameter Prediction using Graph Neural Networks](/index.php/publication/2020-07_paragraph-layout-parasitics-and-device-parameter-prediction-using-graph-neural)

Mark Haoxing Ren, George Kokai, [Walker Turner](/index.php/person/walker-turner), Ting-Sheng Ku



[Design Automation Conference (DAC) 2020](https://www.dac.com/)









[GRANNITE: Graph Neural Network Inference for Transferable Power Estimation](/publication/2020-07_grannite-graph-neural-network-inference-transferable-power-estimation)

[Yanqing Zhang](/person/yanqing-zhang), Mark Haoxing Ren, [Brucek Khailany](/person/brucek-khailany)



[Design Automation Conference (DAC) 2020](https://www.dac.com/)









[Planaria: Dynamic Architecture Fission for Spatial Multi-Tenant Acceleration of Deep Neural Networks](/publication/2020-07_planaria-dynamic-architecture-fission-spatial-multi-tenant-acceleration-deep)

Soroush Ghodrati, Byung Hoon Ahn, Joon Kyung Kim, Sean Kinzer, Brahmendra Reddy Yatham, Navateja Alla, Hardik Sharma, Mohammad Alian, Eiman Ebrahimi, Nam Sung Kim, Cliff Young, Hadi Esmaeilzadeh



[International Symposium on Microarchitecture (MICRO)](https://ieeexplore.ieee.org/document/9251939)









[Angular Visual Hardness](/publication/2020-07_angular-visual-hardness)

Beidi Chen, Weiyang Liu, [Zhiding Yu](/person/zhiding-yu), [Jan Kautz](/person/jan-kautz), Anshumali Shrivastava, Animesh Garg, Anima Anandkumar



[International Conference on Machine Learning (ICML) 2020](https://icml.cc/virtual/2020)









[Semi-Supervised StyleGAN for Disentanglement Learning](/publication/2020-07_semi-supervised-stylegan-disentanglement-learning)

Weili Nie, [Tero Karras](/person/tero-karras), Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Anima Anandkumar



[International Conference on Machine Learning (ICML) 2020](https://icml.cc/virtual/2020)









[Learning Algebraic Multigrid Using Graph Neural Networks](/publication/2020-07_learning-algebraic-multigrid-using-graph-neural-networks)

Ilay Luz, Meirav Galun, [Haggai Maron](/person/haggai-maron), Ronen Basri, Irad Yavneh



[International Conference on Machine Learning (ICML) 2020](https://arxiv.org/pdf/2003.05744.pdf)









[On Learning Sets of Symmetric Elements](/publication/2020-07_learning-sets-symmetric-elements)

[Haggai Maron](/person/haggai-maron), Or Litany, [Gal Chechik](/person/gal-chechik), Ethan Fetaya



[International Conference on Machine Learning (ICML) 2020](https://arxiv.org/pdf/2002.08599)



Outstanding Paper, ICML 2020





[NVAE: A Deep Hierarchical Variational Autoencoder](/publication/2020-07_nvae-deep-hierarchical-variational-autoencoder)

[Arash Vahdat](/person/arash-vahdat), [Jan Kautz](/person/jan-kautz)



[Neural Information Processing Systems (NeurIPS) 2020 (Spotlight)](https://arxiv.org/abs/2007.03898)









[Compositional Neural Scene Representations for Shading Inference](/publication/2020-07_compositional-neural-scene-representations-shading-inference)

Jonathan Granskog, [Fabrice Rousselle](/person/fabrice-rousselle), Marios Papas, [Jan Novák](/person/jan-novak)



[ACM Transaction on Graphics (SIGGRAPH)](https://dl.acm.org/doi/abs/10.1145/3386569.3392475)









[ML-driven Malware that Targets AV Safety](/publication/2020-06_ml-driven-malware-targets-av-safety)

Saurabh Jha, Shengkun Cui, Subho S. Banerjee, James Cyriac, Timothy Tsai, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer



[International Conference on Dependable Systems and Networks (DSN)](https://ieeexplore.ieee.org/document/9153375)









[PyTorchFI: A Runtime Perturbation Tool for DNNs](/index.php/publication/2020-06_pytorchfi-runtime-perturbation-tool-dnns)

Abdulrahman Mahmoud, Neeraj Aggarwal, Alex Nobbe, Jose Rodrigo Sanchez Vicarte, Sarita V. Adve, Christopher W. Fletcher, [Iuri Frosio](/index.php/person/iuri-frosio), [Siva Hari](/index.php/person/siva-hari)



[Workshop on Dependable and Secure Machine Learning](https://ieeexplore.ieee.org/document/9151812)









[DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement](/publication/2020-06_dreamplace-deep-learning-toolkit-enabled-gpu-acceleration-modern-vlsi-placement)

Yibo Lin, Zixuan Jiang, Jiaqi Gu, Wuxi Li, Shounak Dhar, Mark Haoxing Ren, [Brucek Khailany](/person/brucek-khailany), David Z. Pan



[IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (…](https://ieeexplore.ieee.org/document/9122053)



2021 IEEE Transactions on Computer-Aided Design Donald O. Pederson Best Paper Award





[Contrastive Learning for Weakly Supervised Phrase Grounding](/publication/2020-06_contrastive-learning-weakly-supervised-phrase-grounding)

Tanmay Gupta, [Arash Vahdat](/person/arash-vahdat), [Gal Chechik](/person/gal-chechik), Xiaodong Yang, [Jan Kautz](/person/jan-kautz), Derek Hoiem



[European Conference on Computer Vision (ECCV) 2020 (Spotlight)](https://arxiv.org/abs/2006.09920)









[Regularizing Neural Networks via Minimizing Hyperspherical Energy](/index.php/publication/2020-06_regularizing-neural-networks-minimizing-hyperspherical-energy)

Weiyang Liu, Rongmei Lin, Zhen Liu, Chen Feng, [Zhiding Yu](/index.php/person/zhiding-yu), James M. Rehg, Li Xiong, Le Song



[IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020](http://cvpr2020.thecvf.com/)









[Bi3D: Stereo Depth Estimation via Binary Classifications](/publication/2020-06_bi3d-stereo-depth-estimation-binary-classifications)

Abhishek Badki, Alejandro Troccoli, Kihwan Kim, [Jan Kautz](/person/jan-kautz), Pradeep Sen, Orazio Gallo



[IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020](http://cvpr2020.thecvf.com/)









[Meshlet Priors for 3D Mesh Reconstruction](/publication/2020-06_meshlet-priors-3d-mesh-reconstruction)

Abhishek Badki, Orazio Gallo, [Jan Kautz](/person/jan-kautz), Pradeep Sen



[IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020](http://cvpr2020.thecvf.com/)









[Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection](/publication/2020-06_instance-aware-context-focused-and-memory-efficient-weakly-supervised-object)

Zhongzheng Ren, [Zhiding Yu](/person/zhiding-yu), Xiaodong Yang, [Ming-Yu Liu](/person/ming-yu-liu), Yong Jae Lee, Alexander G. Schwing, [Jan Kautz](/person/jan-kautz)



[IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020](http://cvpr2020.thecvf.com/)









[Analyzing and Improving the Image Quality of StyleGAN](/publication/2020-06_analyzing-and-improving-image-quality-stylegan)

[Tero Karras](/person/tero-karras), [Samuli Laine](/person/samuli-laine), [Miika Aittala](/person/miika-aittala), [Janne Hellsten](/person/janne-hellsten), Jaakko Lehtinen, [Timo Aila](/person/timo-aila)



[CVPR 2020](http://cvpr2020.thecvf.com/)









[Novel View Synthesis of Dynamic Scenes with Globally Coherent Depths](/publication/2020-06_novel-view-synthesis-dynamic-scenes-globally-coherent-depths)

Jae shin Yoon, Kihwan Kim, Orazio Gallo, Hyunsoo Park, [Jan Kautz](/person/jan-kautz)



[IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020](http://cvpr2020.thecvf.com/)









[Self-Supervised Viewpoint Learning From Image Collections ](/publication/2020-06_self-supervised-viewpoint-learning-image-collections)

Siva Karthik Mustikovela, Varun Jampani, [Shalini De Mello](/person/shalini-de-mello), [Sifei Liu](/person/sifei-liu), [Umar Iqbal](/person/umar-iqbal), Carsten Rother, [Jan Kautz](/person/jan-kautz)



[IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020](http://cvpr2020.thecvf.com/)









[Two-shot Spatially-varying BRDF and Shape Estimation](/publication/2020-06_two-shot-spatially-varying-brdf-and-shape-estimation)

Mark Boss, Varun Jampani, Kihwan Kim, Hendrik P.A. Lensch, [Jan Kautz](/person/jan-kautz)



[IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020](http://cvpr2020.thecvf.com/)









[Monte Carlo Gradient Quantization](/publication/2020-06_monte-carlo-gradient-quantization)

Goncalo Mordido, [Matthijs Van keirsbilck](/person/matthijs-van-keirsbilck), [Alex Keller](/person/alex-keller)



[CVPR2020 Workshop](https://openaccess.thecvf.com/content_CVPRW_2020/papers/w40/Mordido_Monte_Carlo_Gradient_Quantization_CVPRW_2020_paper.pdf)









[Making Convolutions Resilient via Algorithm-Based Error Detection Techniques](/publication/2020-06_making-convolutions-resilient-algorithm-based-error-detection-techniques)

[Siva Hari](/person/siva-hari), [Michael B. Sullivan](/person/mike-sullivan), Timothy Tsai, [Steve Keckler](/person/stephen-keckler)



[arXiv](https://arxiv.org/abs/2006.04984)









[Learning Canonical Representations for Scene Graph to Image Generation](/publication/2020-06_learning-canonical-representations-scene-graph-image-generation)

Roei Herzig, Amir Bar, Huijuan Xu, [Gal Chechik](/person/gal-chechik), Trevor Darrell, Amir Globerson



[ECCV 2020](https://arxiv.org/abs/1912.07414)









[Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs](/publication/2020-06_buddy-compression-enabling-larger-memory-deep-learning-and-hpc-workloads-gpus)

Esha Chouske, [Michael B. Sullivan](/person/mike-sullivan), [Mike O'Connor](/person/mike-o-connor), Mattan Erez, Jeff Pool, [David Nellans](/person/david-nellans), [Steve Keckler](/person/stephen-keckler)



[International Symposium on Computer Architecture (ISCA)](https://ieeexplore.ieee.org/document/9138915)









[Self-supervised 6D Object Pose Estimation for Robot Manipulation](/publication/2020-05_self-supervised-6d-object-pose-estimation-robot-manipulation)

Xinke Deng, Yu Xiang, Arsalan Mousavian, Clemens Eppner, Timothy Bretl, Dieter Fox



[2020 IEEE International Conference on Robotics and Automation (ICRA)](https://ieeexplore.ieee.org/document/9196714)









[An In-Network Architecture for Accelerating Shared-Memory Multiprocessor Collectives](/publication/2020-05_network-architecture-accelerating-shared-memory-multiprocessor-collectives)

[Benjamin Klenk](/person/ben-klenk), [Ted Jiang](/person/ted-jiang), Greg Thorson, [Larry Dennison](/person/larry-dennison)



[International Symposium on Computer Architecture (ISCA)](https://dl.acm.org/doi/10.1109/ISCA45697.2020.00085)









[How to close sim-real gap? transfer with segmentation!](/publication/2020-05_how-close-sim-real-gap-transfer-segmentation)

Mengyuan Yan, Qingyun Sun, [Iuri Frosio](/person/iuri-frosio), [Stephen Tyree](/person/stephen-tyree), [Jan Kautz](/person/jan-kautz)



arxiv









[ML-driven Malware that Targets AV Safety](/publication/2020-04_ml-driven-malware-targets-av-safety)

Saurabh Jha, Shengkun Cui, Subho S. Banerjee, James Cyriac, Timothy Tsai, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer



[arXiv](https://arxiv.org/abs/2004.13004)









[MAESTRO: A Data-Centric Approach to Understand Reuse, Performance, and Hardware Cost of DNN Mappings](/publication/2020-04_maestro-data-centric-approach-understand-reuse-performance-and-hardware-cost)

Hyoukjun Kwon, Prasanth Chatarasi, Vivek Sarkar, Tushar Krishna, [Michael Pellauer](/person/michael-pellauer), [Angshuman Parashar](/person/angshuman-parashar)



[IEEE Micro (Issue: Top Picks of the 2019 Computer Architecture Conferences)](https://ieeexplore.ieee.org/document/9076333)









[Genome Variant Calling with a Deep Averaging Network](/publication/2020-03_genome-variant-calling-deep-averaging-network)

Nikolai Yakovenko, Avantika Lal, Johnny Israeli, Bryan Catanzaro



[Arxiv](https://arxiv.org/abs/2003.07220)









[SymGAN: Orientation Estimation without Annotation for Symmetric Objects](/publication/2020-03_symgan-orientation-estimation-without-annotation-symmetric-objects)

Phil Ammirato, [Jonathan Tremblay](/person/jonathan-tremblay), [Ming-Yu Liu](/person/ming-yu-liu), Alexander Berg, Dieter Fox



[WACV](https://wacv20.wacv.net/)









[Neurreg: Neural registration and its application to image segmentation](/publication/2020-03_neurreg-neural-registration-and-its-application-image-segmentation)

Wentao Zhu, [Andriy Myronenko](/person/andriy-myronenko), [Ziyue Xu](/person/ziyue-xu), [Wenqi Li](/person/wenqi-li), [Holger Roth](/person/holger-roth), Yufang Huang, Fausto Milletari, [Daguang Xu](/person/daguang-xu)



[WACV](http://openaccess.thecvf.com/content_WACV_2020/papers/Zhu_NeurReg_Neural_Registration_and_Its_Application_to_Image_Segmentation_WACV_2020_paper.pdf)









[HarDNN: Feature Map Vulnerability Evaluation in CNNs](/index.php/publication/2020-02_hardnn-feature-map-vulnerability-evaluation-cnns)

Abdulrahman Mahmoud, [Siva Hari](/index.php/person/siva-hari), Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh Shanbhag, [Pavlo Molchanov](/index.php/person/pavlo-molchanov), [Michael B. Sullivan](/index.php/person/mike-sullivan), Timothy Tsai, [Steve Keckler](/index.php/person/stephen-keckler)



[arXiv](https://arxiv.org/abs/2002.09786)









[On the Distance between Two Neural Networks and the Stability of Learning](/publication/2020-02_distance-between-two-neural-networks-and-stability-learning)

Jeremy Bernstein, [Arash Vahdat](/person/arash-vahdat), Yisong Yue, [Ming-Yu Liu](/person/ming-yu-liu)



[Neural Information Processing Systems (NeurIPS) 2020](https://arxiv.org/abs/2002.03432)









[Domain Stylization: A Fast Covariance Matching Framework towards Domain Adaptation](/publication/2020-01_domain-stylization-fast-covariance-matching-framework-towards-domain-adaptation)

Aysegul Dundar, [Ming-Yu Liu](/person/ming-yu-liu), [Zhiding Yu](/person/zhiding-yu), [Ting-Chun Wang](/person/ting-chun-wang), John Zedlewski, [Jan Kautz](/person/jan-kautz)



[IEEE Transactions on Pattern Analysis and Machine Intelligence](https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=34)









[A 0.32–128 TOPS, Scalable Multi-Chip-Module-Based Deep Neural Network Inference Accelerator With Ground-Referenced Signaling in 16 nm](/publication/2020-01_032-128-tops-scalable-multi-chip-module-based-deep-neural-network-inference)

[Brian Zimmer](/person/brian-zimmer), [Rangharajan Venkatesan](/person/rangharajan-venkatesan), Yakun Sophia Shao, [Jason Clemons](/person/jason-clemons), [Matt Fojtik](/person/matt-fojtik), [Ted Jiang](/person/ted-jiang), [Ben Keller](/person/ben-keller), Alicia Klinefelter, [Nathaniel Pinckney](/person/nathaniel-pinckney), Priyanka Raina, [Stephen Tell](/person/stephen-tell), [Yanqing Zhang](/person/yanqing-zhang), [William Dally](/person/william-dally), [Joel Emer](/person/joel-emer), [Tom Gray](/person/tom-gray), [Steve Keckler](/person/stephen-keckler), [Brucek Khailany](/person/brucek-khailany)



[IEEE Journal of Solid-State Circuits (JSSC)](https://ieeexplore.ieee.org/document/8959403)



JSSC 2020 Best Paper award





[PowerNet: Transferable Dynamic IR Drop Estimation via Maximum Convolutional Neural Network](/publication/2020-01_powernet-transferable-dynamic-ir-drop-estimation-maximum-convolutional-neural)

Zhiyao Xie, Mark Haoxing Ren, [Brucek Khailany](/person/brucek-khailany), Ye Sheng, Santosh Santosh, Jiang Hu, Yiran Chen



[ASP-DAC 2020](https://aspdac2020.github.io/aspdac20/welcome/index.html)









[FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning](/publication/2020-01_fist-feature-importance-sampling-and-tree-based-method-automatic-design-flow)

Zhiyao Xie, Guan-Qi Fang, Yu-Hung Huang, Mark Haoxing Ren, [Yanqing Zhang](/person/yanqing-zhang), [Brucek Khailany](/person/brucek-khailany), Shao-Yun Fang, Jiang Hu, Yiran Chen, Erick Carvajal Barboza



[ASP-DAC 2020](https://aspdac2020.github.io/aspdac20/welcome/index.html)









### 2019 

[Few-Shot Video-to-Video Synthesis](/index.php/publication/2019-12_few-shot-video-video-synthesis)

[Ting-Chun Wang](/index.php/person/ting-chun-wang), [Ming-Yu Liu](/index.php/person/ming-yu-liu), Andrew Tao, Guilin Liu, [Jan Kautz](/index.php/person/jan-kautz), Bryan Catanzaro



[NeurIPS](https://www.nips.cc/)









[High-Quality Self-Supervised Deep Image Denoising](/publication/2019-12_high-quality-self-supervised-deep-image-denoising)

[Samuli Laine](/person/samuli-laine), [Tero Karras](/person/tero-karras), Jaakko Lehtinen, [Timo Aila](/person/timo-aila)



NeurIPS 2019









[Dance to Music](/publication/2019-12_dance-music)

Hsin-Ying Lee, [Xiaodong Yang](/person/xiaodong-yang), [Ming-Yu Liu](/person/ming-yu-liu), [Ting-Chun Wang](/person/ting-chun-wang), Yu-Ding Lu, Ming-Hsuan Yang, [Jan Kautz](/person/jan-kautz)



[NeurIPS](https://www.nips.cc)









[Improved Precision and Recall Metric for Assessing Generative Models](/publication/2019-12_improved-precision-and-recall-metric-assessing-generative-models)

Tuomas Kynkäänniemi, [Tero Karras](/person/tero-karras), [Samuli Laine](/person/samuli-laine), Jaakko Lehtinen, [Timo Aila](/person/timo-aila)



NeurIPS 2019









[Instant Quantization of neural networks using Monte Carlo Methods](/publication/2019-12_instant-quantization-neural-networks-using-monte-carlo-methods)

Gonçalo Mordido, [Matthijs Van keirsbilck](/person/matthijs-van-keirsbilck), [Alex Keller](/person/alex-keller)



[NeurIPS 2019 EMC2 workshop (IEEExplore)](https://ieeexplore.ieee.org/document/9463561)









[Joint Optimization for Cooperative Image Captioning](/publication/2019-11_joint-optimization-cooperative-image-captioning)

Gilad Vered, Gal Oren, [Yuval Atzmon](/person/yuval-atzmon), [Gal Chechik](/person/gal-chechik)



[International conference on computer vision (ICCV)](http://openaccess.thecvf.com/content_ICCV_2019/papers/Vered_Joint_Optimization_for_Cooperative_Image_Captioning_ICCV_2019_paper.)









[MAGNet: A Modular Accelerator Generator for Neural Networks](/publication/2019-11_magnet-modular-accelerator-generator-neural-networks)

[Rangharajan Venkatesan](/person/rangharajan-venkatesan), Sophia Shao, Miaorong Wang, [Jason Clemons](/person/jason-clemons), [Steve Dai](/person/steve-dai), [Matt Fojtik](/person/matt-fojtik), [Ben Keller](/person/ben-keller), Alicia Klinefelter, [Nathaniel Pinckney](/person/nathaniel-pinckney), Priyanka Raina, [Yanqing Zhang](/person/yanqing-zhang), [Brian Zimmer](/person/brian-zimmer), [William Dally](/person/william-dally), [Joel Emer](/person/joel-emer), [Steve Keckler](/person/stephen-keckler), [Brucek Khailany](/person/brucek-khailany)



[International Conference On Computer Aided Design (ICCAD)](https://ieeexplore.ieee.org/document/8942127)









[Highly-scalable, Physics-informed GANs for Learning Solutions of Stochastic PDEs](/index.php/publication/2019-10_highly-scalable-physics-informed-gans-learning-solutions-stochastic-pdes)

Liu Yang, Sean Treichler, Thorsten Kurth, Keno Fischer, David Barajas-Solano, Josh Romero, Valentin Churavy, Alexandre Tartakovsky, Michael Houston, Prabhat, George Karniadakis



[arXiv](https://arxiv.org/abs/1910.13444)









[Neural Inverse Rendering of an Indoor Scene from a Single Image](/publication/2019-10_neural-inverse-rendering-indoor-scene-single-image)

Soumyadip Sengupta, Jinwei Gu, Kihwan Kim, Guilin Liu, David W. Jacobs, [Jan Kautz](/person/jan-kautz)



[IEEE International Conference on Computer Vision (ICCV 2019)](http://iccv2019.thecvf.com/)









[Few-Shot Adaptive Gaze Estimation ](/index.php/publication/2019-10_few-shot-adaptive-gaze-estimation)

Seonwook Park, [Shalini De Mello](/index.php/person/shalini-de-mello), [Pavlo Molchanov](/index.php/person/pavlo-molchanov), [Umar Iqbal](/index.php/person/umar-iqbal), Otmar Hilliges, [Jan Kautz](/index.php/person/jan-kautz)



[International Conference on Computer Vision (ICCV) 2019](http://iccv2019.thecvf.com/program/overview)



Oral





[Extreme View Synthesis](/publication/2019-10_extreme-view-synthesis)

Inchang Choi, Orazio Gallo, Alejandro Troccoli, Min H. Kim, [Jan Kautz](/person/jan-kautz)



[IEEE International Conference of Computer Vision](http://iccv2019.thecvf.com/)









[Neural Turtle Graphics for Modeling City Road Layouts](/publication/2019-10_neural-turtle-graphics-modeling-city-road-layouts)

Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, [Ming-Yu Liu](/person/ming-yu-liu), Antonio Torralba, Sanja Fidler



[ICCV](http://iccv2019.thecvf.com/)









[Meta-Sim: Learning to Generate Synthetic Datasets](/publication/2019-10_meta-sim-learning-generate-synthetic-datasets)

Amlan Kar, Aayush Prakash, [Ming-Yu Liu](/person/ming-yu-liu), Eric Cameracci, Justin Yuan, Matt Rusiniak, David Acuna, Antonio Torralba, Sanja Fidler



[ICCV](http://iccv2019.thecvf.com/)









[Confidence Regularized Self-Training](/publication/2019-10_confidence-regularized-self-training)

Yang Zou, [Zhiding Yu](/person/zhiding-yu), Xiaofeng Liu, B. V. K. Vijaya Kumar, Jinsong Wang



[IEEE/CVF International Conference on Computer Vision (ICCV) 2019 (Oral)](http://iccv2019.thecvf.com/)









[PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows](/publication/2019-10_pointflow-3d-point-cloud-generation-continuous-normalizing-flows)

Guandao Yang, Xun Huang, Zekun Hao, [Ming-Yu Liu](/person/ming-yu-liu), Serge Belongie, Bharath Hariharan



[ICCV](http://iccv2019.thecvf.com/)









[Simba: Scaling Deep-Learning Inference with Multi-Chip-Module-Based Architecture](/publication/2019-10_simba-scaling-deep-learning-inference-multi-chip-module-based-architecture)

Sophia Shao, [Jason Clemons](/person/jason-clemons), [Rangharajan Venkatesan](/person/rangharajan-venkatesan), [Brian Zimmer](/person/brian-zimmer), [Matt Fojtik](/person/matt-fojtik), [Ted Jiang](/person/ted-jiang), [Ben Keller](/person/ben-keller), Alicia Klinefelter, [Nathaniel Pinckney](/person/nathaniel-pinckney), Priyanka Raina, [Stephen Tell](/person/stephen-tell), [Yanqing Zhang](/person/yanqing-zhang), [William Dally](/person/william-dally), [Joel Emer](/person/joel-emer), [Tom Gray](/person/tom-gray), [Brucek Khailany](/person/brucek-khailany), [Steve Keckler](/person/stephen-keckler)



[International Symposium on Microarchitecture (MICRO)](https://dl.acm.org/doi/10.1145/3352460.3358302)



Best Paper award, IEEE Micro Top Picks in Computer Architecture (Honorable Mention)





[Understanding Reuse, Performance, and Hardware Cost of DNN Dataflows: A Data-Centric Approach.](/publication/2019-10_understanding-reuse-performance-and-hardware-cost-dnn-dataflows-data-centric)

Hyoukjun Kwon, Prasanth Chatarasi, [Michael Pellauer](/person/michael-pellauer), [Angshuman Parashar](/person/angshuman-parashar), Vivek Sarkar, Tushar Krishna



[International Symposium on Microarchitecture (MICRO)](https://dl.acm.org/doi/10.1145/3352460.3358252)



IEEE Micro Top Picks in Computer Architecture





[A Billion Ways to Grasp: An Evaluation of Grasp Sampling Schemes on a Dense, Physics-based Grasp Data Set](/publication/2019-10_billion-ways-grasp-evaluation-grasp-sampling-schemes-dense-physics-based-grasp)

Clemens Eppner, Arsalan Mousavian, Dieter Fox



[The International Symposium of Robotics Research (ISSR)](https://link.springer.com/chapter/10.1007/978-3-030-95459-8_55)









[Video Stitching for Linear Camera Arrays](/publication/2019-09_video-stitching-linear-camera-arrays)

Wei-Sheng Lai, Orazio Gallo, [Jinwei Gu](/person/jinwei-gu), Deqing Sun, Ming-Hsuan Yang, [Jan Kautz](/person/jan-kautz)



[British Machine Vision Conference](https://bmvc2019.org/)









[GPU-Accelerated Atari Emulation for Reinforcement Learning](/publication/2019-07_gpu-accelerated-atari-emulation-reinforcement-learning)

[Steven Dalton](/person/steven-dalton), [Iuri Frosio](/person/iuri-frosio), [Michael Garland](/person/michael-garland)



[Arxiv](https://arxiv.org/abs/1907.08467)









[ML-based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection](/publication/2019-07_ml-based-fault-injection-autonomous-vehicles-case-bayesian-fault-injection)

Saurabh Jha, Subho S. Banerjee, Timothy Tsai, [Siva Hari](/person/siva-hari), [Michael B. Sullivan](/person/mike-sullivan), Zbigniew T. Kalbarczyk, [Steve Keckler](/person/stephen-keckler), Ravishankar K. Iyer



[arXiv](https://arxiv.org/abs/1907.01051)









[ML-based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection](/publication/2019-06_ml-based-fault-injection-autonomous-vehicles-case-bayesian-fault-injection)

Saurabh Jha, Subho Banerjee, Timothy Tsai, [Siva Hari](/person/siva-hari), [Michael B. Sullivan](/person/mike-sullivan), Zbigniew T. Kalbarczyk, [Steve Keckler](/person/stephen-keckler), Ravishankar K. Iyer



[International Conference on Dependable Systems and Networks (DSN)](https://ieeexplore.ieee.org/abstract/document/8809495)









[Semantic Image Synthesis with Spatially-Adaptive Normalization](/publication/2019-06_semantic-image-synthesis-spatially-adaptive-normalization)

Taesung Park, [Ming-Yu Liu](/person/ming-yu-liu), [Ting-Chun Wang](/person/ting-chun-wang), Jun-Yan Zhu



[CVPR](http://cvpr2019.thecvf.com/)









[Joint Discriminative and Generative Learning for Person Re-identification](/publication/2019-06_joint-discriminative-and-generative-learning-person-re-identification)

Zhedong Zheng, [Xiaodong Yang](/person/xiaodong-yang), [Zhiding Yu](/person/zhiding-yu), Liang Zheng, Yi Yang, [Jan Kautz](/person/jan-kautz)



[IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019](http://cvpr2019.thecvf.com/)









[Neural RGB-&gt;D Sensing: Depth and Uncertainty from a Video Camera](/publication/2019-06_neural-rgb-d-sensing-depth-and-uncertainty-video-camera)

Chao Liu, Jinwei Gu, Kihwan Kim, Srinivasa Narasimhan, [Jan Kautz](/person/jan-kautz)



[IEEE CVPR 2019 (Oral)](http://cvpr2019.thecvf.com/)









[Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation](/publication/2019-06_competitive-collaboration-joint-unsupervised-learning-depth-camera-motion)

Anurag Ranjan, Varun Jampani, Lukas Balles, Kihwan Kim, Deqing Sun, Jonas Wulff, Michael J. Black



[IEEE CVPR 2019](http://cvpr2019.thecvf.com/)









[STEP: Spatio-Temporal Progressive Learning for Video Action Detection](/publication/2019-06_step-spatio-temporal-progressive-learning-video-action-detection)

Xitong Yang, [Xiaodong Yang](/person/xiaodong-yang), [Ming-Yu Liu](/person/ming-yu-liu), Fanyi Xiao, Larry Davis, [Jan Kautz](/person/jan-kautz)



[CVPR](http://cvpr2019.thecvf.com/)









[PlaneRCNN: 3D Plane Detection and Reconstruction from a Single Image](/publication/2019-06_planercnn-3d-plane-detection-and-reconstruction-single-image)

Chen Liu, Kihwan Kim, Jinwei Gu, Yasutaka Furukawa, [Jan Kautz](/person/jan-kautz)



[IEEE CVPR 2019 (Oral)](http://cvpr2019.thecvf.com/)









[A Style-Based Generator Architecture for Generative Adversarial Networks](/publication/2019-06_style-based-generator-architecture-generative-adversarial-networks)

[Tero Karras](/person/tero-karras), [Samuli Laine](/person/samuli-laine), [Timo Aila](/person/timo-aila)



[IEEE CVPR 2019](http://cvpr2019.thecvf.com/)









[Pixel-Adaptive Convolutional Neural Networks](/publication/2019-06_pixel-adaptive-convolutional-neural-networks)

Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik-Learned Miller, [Jan Kautz](/person/jan-kautz)



[Computer Vision and Pattern Recognition (CVPR), 2019](http://cvpr2019.thecvf.com)









[Importance Estimation for Neural Network Pruning](/publication/2019-06_importance-estimation-neural-network-pruning)

[Pavlo Molchanov](/person/pavlo-molchanov), Arun Mallya, [Stephen Tyree](/person/stephen-tyree), [Iuri Frosio](/person/iuri-frosio), [Jan Kautz](/person/jan-kautz)



CVPR2019









[A 0.11 pJ/Op, 0.32-128 TOPS, Scalable Multi-Chip-Module-based Deep Neural Network Accelerator with Ground-Reference Signaling in 16nm](/publication/2019-06_011-pjop-032-128-tops-scalable-multi-chip-module-based-deep-neural-network)

[Brian Zimmer](/person/brian-zimmer), [Rangharajan Venkatesan](/person/rangharajan-venkatesan), Sophia Shao, [Jason Clemons](/person/jason-clemons), [Matt Fojtik](/person/matt-fojtik), [Ted Jiang](/person/ted-jiang), [Ben Keller](/person/ben-keller), Alicia Klinefelter, [Nathaniel Pinckney](/person/nathaniel-pinckney), Priyanka Raina, [Stephen Tell](/person/stephen-tell), [Yanqing Zhang](/person/yanqing-zhang), [William Dally](/person/william-dally), [Joel Emer](/person/joel-emer), [Tom Gray](/person/tom-gray), [Steve Keckler](/person/stephen-keckler), [Brucek Khailany](/person/brucek-khailany)



[Symposium on VLSI Circuits](https://ieeexplore.ieee.org/document/8778056)









[DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement](/publication/2019-06_dreamplace-deep-learning-toolkit-enabled-gpu-acceleration-modern-vlsi-placement)

Yibo Lin, Shounak Dhar, Wuxi Li, Mark Haoxing Ren, [Brucek Khailany](/person/brucek-khailany), David Z. Pan



[Design Automation Conference (DAC) 2019](http://yibolin.com/publications/papers/PLACE_DAC2019_Lin.pdf)



DAC 2019 Best Paper Award





[PRIMAL: Power Inference using Machine Learning](/publication/2019-06_primal-power-inference-using-machine-learning)

Yuan Zhou, Mark Haoxing Ren, [Yanqing Zhang](/person/yanqing-zhang), [Ben Keller](/person/ben-keller), [Brucek Khailany](/person/brucek-khailany), Zhiru Zhang



[Design Automation Conference (DAC)](https://dac.com/)









[High Performance Graph Convolutional Networks with Applications in Testability Analysis](/publication/2019-06_high-performance-graph-convolutional-networks-applications-testability-analysis)

Yuzhe Ma, Mark Haoxing Ren, [Brucek Khailany](/person/brucek-khailany), Harbinder Sikka, Lijuan Luo, Karthikeyan Natarajan, Bei Yu



[Design Automation Conference (DAC)](https://dac.com/)









[Analog/Mixed-Signal Hardware Error Modeling for Deep Learning Inference](/publication/2019-06_analogmixed-signal-hardware-error-modeling-deep-learning-inference)

Angad S. Rekhi, [Brian Zimmer](/person/brian-zimmer), [Nikola Nedovic](/person/nikola-nedovic), Nigxi Liu, [Rangharajan Venkatesan](/person/rangharajan-venkatesan), Miaorong Wang, [Brucek Khailany](/person/brucek-khailany), [William Dally](/person/william-dally), [Tom Gray](/person/tom-gray)



[Design Automation Conference (DAC)](https://dac.com/)









[Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs](/publication/2019-04_buddy-compression-enabling-larger-memory-deep-learning-and-hpc-workloads-gpus)

Esha Choukse, [Michael B. Sullivan](/person/mike-sullivan), [Mike O'Connor](/person/mike-o-connor), Mattan Erez, Jeff Pool, [David Nellans](/person/david-nellans), Stephen W. Keckler



[arXiv](https://arxiv.org/abs/1903.02596)









[DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis](/publication/2019-03_delta-gpu-performance-model-deep-learning-applications-depth-memory-system)

Sankug Lym, [Donghyuk Lee](/person/donghyuk-lee), [Niladrish Chatterjee](/person/niladrish-chatterjee), [Mike O'Connor](/person/mike-o-connor), Mattan Erez



[International Symposium on Performance Analysis of Systems and Software (ISPASS)](https://ieeexplore.ieee.org/document/8695646)









[Routability-Driven Macro Placement with Embedded CNN-Based Prediction Model](/publication/2019-03_routability-driven-macro-placement-embedded-cnn-based-prediction-model)

Yu-Hung Huang, Zhiyao Xie, Guan-Qi Fang, Tao-Chun Yu, Mark Haoxing Ren, Shao-Yun Fang, Yiran Chen, Jiang Hu



[Design, Automation and Test in Europe](http://www.date-conference.com)









[Timeloop: A Systematic Approach to DNN Accelerator Evaluation](/publication/2019-03_timeloop-systematic-approach-dnn-accelerator-evaluation)

[Angshuman Parashar](/person/angshuman-parashar), Priyanka Raina, Yakun Sophia Shao, Yu-Hsin Chen, Victor A. Ying, Anurag Mukkara, [Rangharajan Venkatesan](/person/rangharajan-venkatesan), [Brucek Khailany](/person/brucek-khailany), [Steve Keckler](/person/stephen-keckler), [Joel Emer](/person/joel-emer)



[International Symposium on Performance Analysis of Systems and Software (ISPASS)](https://ieeexplore.ieee.org/document/8695666)









[Informative Object Annotations: Tell Me Something I Don't Know](/publication/2019-03_informative-object-annotations-tell-me-something-i-dont-know)

Lior Bracha, [Gal Chechik](/person/gal-chechik)



Computer Vision and Pattern Recognition









[Rethinking full connectivity in recurrent neural networks](/index.php/publication/2019-03_rethinking-full-connectivity-recurrent-neural-networks)

[Matthijs Van keirsbilck](/index.php/person/matthijs-van-keirsbilck), [Alex Keller](/index.php/person/alex-keller), Xiaodong Yang



[arxiv paper](https://arxiv.org/pdf/1905.12340.pdf)









[Metaoptimization on a Distributed System for Deep Reinforcement Learning](/index.php/publication/2019-02_metaoptimization-distributed-system-deep-reinforcement-learning)

Greg Heinrich, [Iuri Frosio](/index.php/person/iuri-frosio)













[Unsupervised Stylish Image Description Generation via Domain Layer Norm](/publication/2019-02_unsupervised-stylish-image-description-generation-domain-layer-norm)

Cheng-Kuan Chen, Zhu-Feng Pan, [Ming-Yu Liu](/person/ming-yu-liu), Min Sun



[AAAI](https://aaai.org/Conferences/AAAI-19/)









[Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation](/index.php/publication/2019-01_models-matter-so-does-training-empirical-study-cnns-optical-flow-estimation)

Deqing Sun, [Xiaodong Yang](/index.php/person/xiaodong-yang), [Ming-Yu Liu](/index.php/person/ming-yu-liu), [Jan Kautz](/index.php/person/jan-kautz)



[TPAMI](https://ieeexplore.ieee.org/document/8621052)









[A Fusion Approach for Multi-Frame Optical Flow Estimation](/index.php/publication/2019-01_fusion-approach-multi-frame-optical-flow-estimation)

Zhile Ren, Orazio Gallo, Deqing Sun, Ming-Hsuan Yang, Erik B. Sudderth, [Jan Kautz](/index.php/person/jan-kautz)



[IEEE Winter conference of Applications of Computer Vision (WACV)](http://wacv19.wacv.net/)









### 2018 

[Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction](/publication/2018-12_mapping-images-scene-graphs-permutation-invariant-structured-prediction)

Roei Herzig, Moshiko Raboh, [Gal Chechik](/person/gal-chechik), Jonathan Berant, Amir Globerson



[Neural Information processing systems (NeurIPS)](http://papers.nips.cc/paper/7951-mapping-images-to-scene-graphs-with-permutation-invariant-structured-prediction)









[Learning towards Minimum Hyperspherical Energy](/publication/2018-12_learning-towards-minimum-hyperspherical-energy)

Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, [Zhiding Yu](/person/zhiding-yu), Bo Dai, Le Song



[Conference on Neural Information Processing Systems (NeurIPS) 2018](https://nips.cc/Conferences/2018)









[Exascale Deep Learning for Climate Analytics](/publication/2018-11_exascale-deep-learning-climate-analytics)

Thorsten Kurth, Sean Treichler, Joshua Romero, Mayur Mudigonda, Nathan Luehr, Everett Phillips, Ankur Mahesh, Michael Matheson, Jack Deslippe, Massimiliano Fatica, Prabhat, Michael Houston



[International Conference for High Performance Computing and Communications (SC'…](https://dl.acm.org/doi/10.5555/3291656.3291724)









[RouteNet: Routability Prediction for Mixed-size Designs using Convolutional Neural Network](/publication/2018-11_routenet-routability-prediction-mixed-size-designs-using-convolutional-neural)

Zhiyao Xie, Yu-Hung Huang, Guan-Qi Fang, Mark Haoxing Ren, Shao-Yun Fang, Yiran Chen, Hu Jiang



[International Conference On Computer Aided Design](http://iccad.com)









[Hand Pose Estimation via Latent 2.5 D Heatmap Regression](/publication/2018-09_hand-pose-estimation-latent-25-d-heatmap-regression)

[Umar Iqbal](/person/umar-iqbal), [Pavlo Molchanov](/person/pavlo-molchanov), [Thomas Breuel](/person/thomas-breuel), Juergen Gall, [Jan Kautz](/person/jan-kautz)



ECCV2018









[Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset](/publication/2018-09_tackling-3d-tof-artifacts-through-learning-and-flat-dataset)

Qi Guo, [Iuri Frosio](/person/iuri-frosio), Orazio Gallo, Todd Zickler, [Jan Kautz](/person/jan-kautz)



[ECCV 2018](https://eccv2018.org/)









[Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation](/publication/2018-09_learning-rigidity-dynamic-scenes-moving-camera-3d-motion-field-estimation)

Zhaoyang Lv, Kihwan Kim, Alejandro Troccoli, Deqing Sun, James M. Rehg, [Jan Kautz](/person/jan-kautz)



[European Conference on Computer Vision (ECCV 2018)](https://eccv2018.org/)









[Switchable Temporal Propagation Network ](/publication/2018-09_switchable-temporal-propagation-network)

[Sifei Liu](/person/sifei-liu), Guangyu Zhong, [Shalini De Mello](/person/shalini-de-mello), [Jinwei Gu](/person/jinwei-gu), Varun Jampani



[European Conference on Computer Vision (ECCV) 2018](http://faculty.ucmerced.edu/mhyang/papers/eccv2018_stpn.pdf)









[Image Inpainting for Irregular Holes Using Partial Convolutions](/publication/2018-09_image-inpainting-irregular-holes-using-partial-convolutions)

Guilin Liu, Fitsum A. Reda, Kevin Shih, [Ting-Chun Wang](/person/ting-chun-wang), Andrew Tao, Bryan Catanzaro



[ECCV](http://openaccess.thecvf.com/ECCV2018.py)









[Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training](/publication/2018-09_domain-adaptation-semantic-segmentation-class-balanced-self-training)

Yang Zou, [Zhiding Yu](/person/zhiding-yu), B. V. K. Vijaya Kumar, Jinsong Wang



[European Conference on Computer Vision (ECCV) 2018](https://eccv2018.org/)









[Multimodal Unsupervised Image-to-Image Translation](/publication/2018-09_multimodal-unsupervised-image-image-translation)

Xun Huang, [Ming-Yu Liu](/person/ming-yu-liu), Serge Belongie, [Jan Kautz](/person/jan-kautz)



[ECCV](https://arxiv.org/abs/1804.04732)









[A Closed-form Solution to Photorealistic Image Stylization](/publication/2018-09_closed-form-solution-photorealistic-image-stylization)

Yijun Li, [Ming-Yu Liu](/person/ming-yu-liu), Xueting Li, Ming-Hsuan Yang, [Jan Kautz](/person/jan-kautz)



[ECCV](http://arxiv.org/abs/1802.06474)









[Superpixel Sampling Networks](/publication/2018-09_superpixel-sampling-networks)

Varun Jampani, Deqing Sun, [Ming-Yu Liu](/person/ming-yu-liu), Ming-Hsuan Yang, [Jan Kautz](/person/jan-kautz)



[European Conference on Computer Vision (ECCV), 2018](http://eccv2018.org)









[Machine Learning and Rendering](/publication/2018-08_machine-learning-and-rendering)

[Alex Keller](/person/alex-keller), Jaroslav Křivánek, Jan Novák, Anton Kaplanyan, Marco Salvi



[ACM SIGGRAPH 2018 Courses](https://dl.acm.org/citation.cfm?doid=3214834.3214841)









[Noise2Noise: Learning Image Restoration without Clean Data](/publication/2018-07_noise2noise-learning-image-restoration-without-clean-data)

Jaakko Lehtinen, [Jacob Munkberg](/person/jacob-munkberg), [Jon Hasselgren](/person/jon-hasselgren), [Samuli Laine](/person/samuli-laine), [Tero Karras](/person/tero-karras), Miika Aittala, [Timo Aila](/person/timo-aila)



[Proc. ICML 2018](https://icml.cc/)









[Light-weight Head Pose Invariant Gaze Tracking ](/publication/2018-06_light-weight-head-pose-invariant-gaze-tracking)

Rajeev Ranjan, [Shalini De Mello](/person/shalini-de-mello), [Jan Kautz](/person/jan-kautz)



[IEEE Computer Vision and Pattern Recognition Workshop (CVPRW) 2018](http://cvpr2018.thecvf.com/program/workshops)



Best Paper (runner up) Workshop on Analysis and Modeling of Faces and Gestures





[MoCoGAN: Decomposing Motion and Content for Video Generation](/publication/2018-06_mocogan-decomposing-motion-and-content-video-generation)

Sergey Tulyakov, [Ming-Yu Liu](/person/ming-yu-liu), [Xiaodong Yang](/person/xiaodong-yang), [Jan Kautz](/person/jan-kautz)



[CVPR](https://arxiv.org/abs/1707.04993)









[Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals](/publication/2018-06_depth-based-3d-hand-pose-estimation-current-achievements-future-goals)

Shanxin Yuan, Guillermo Garcia-Hernando, Bjorn Stenger, [Pavlo Molchanov](/person/pavlo-molchanov), [Jan Kautz](/person/jan-kautz), Sina Honari



[Conference on Computer Vision and Pattern Recognition](http://cvpr2018.thecvf.com)









[Improving Landmark Localization with Semi-Supervised Learning](/index.php/publication/2018-06_improving-landmark-localization-semi-supervised-learning)

Sina Honari, [Pavlo Molchanov](/index.php/person/pavlo-molchanov), [Stephen Tyree](/index.php/person/stephen-tyree), Pascal Vincent, Christopher Pal, [Jan Kautz](/index.php/person/jan-kautz)



[CVPR](http://cvpr2018.thecvf.com)









[Learning Strict Identity Mappings in Deep Residual Networks](/publication/2018-06_learning-strict-identity-mappings-deep-residual-networks)

Xin Yu, [Zhiding Yu](/person/zhiding-yu), Srikumar Ramalingam



[IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2018](http://cvpr2018.thecvf.com/)









[PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume](/publication/2018-06_pwc-net-cnns-optical-flow-using-pyramid-warping-and-cost-volume)

Deqing Sun, [Xiaodong Yang](/person/xiaodong-yang), [Ming-Yu Liu](/person/ming-yu-liu), [Jan Kautz](/person/jan-kautz)



[CVPR](http://cvpr2018.thecvf.com/)









[SPLATNet: Sparse Lattice Networks for Point Cloud Processing](/index.php/publication/2018-06_splatnet-sparse-lattice-networks-point-cloud-processing)

Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis, Ming-Hsuan Yang, [Jan Kautz](/index.php/person/jan-kautz)



[CVPR 2018 (oral)](http://cvpr2018.thecvf.com/)









[Deep Semantic Face Deblurring](/index.php/publication/2018-06_deep-semantic-face-deblurring)

Ziyi Shen, Wei-Sheng Lai, Tingfa Xu, [Jan Kautz](/index.php/person/jan-kautz), Ming-Hsuan Yang



[IEEE Computer Vision and Pattern Recognition (CVPR)](http://cvpr2018.thecvf.com)









[High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs](/publication/2018-06_high-resolution-image-synthesis-and-semantic-manipulation-conditional-gans)

[Ting-Chun Wang](/person/ting-chun-wang), [Ming-Yu Liu](/person/ming-yu-liu), Jun-Yan Zhu, Andrew Tao, [Jan Kautz](/person/jan-kautz), Bryan Catanzaro



[CVPR](https://arxiv.org/abs/1711.11585)









[Decoupled Networks](/publication/2018-06_decoupled-networks)

Weiyang Liu, Zhen Liu, [Zhiding Yu](/person/zhiding-yu), Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song



[IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2018](http://cvpr2018.thecvf.com/)









[Geometry-Aware Learning of Maps for Camera Localization](/publication/2018-06_geometry-aware-learning-maps-camera-localization)

Samarth Brahmbhatt, [Jinwei Gu](/person/jinwei-gu), Kihwan Kim, James Hays, [Jan Kautz](/person/jan-kautz)



[CVPR 2018 (Spotlight)](http://cvpr2018.thecvf.com/)









[Making Convolutional Networks Recurrent for Visual Sequence Learning](/publication/2018-06_making-convolutional-networks-recurrent-visual-sequence-learning)

[Xiaodong Yang](/person/xiaodong-yang), [Pavlo Molchanov](/person/pavlo-molchanov), [Jan Kautz](/person/jan-kautz)



[IEEE Conference on Computer Vision and Pattern Recognition (CVPR)](http://xiaodongyang.org/publications/papers/prernn-cvpr18.pdf)









[UCNN: Exploiting Computational Reuse in Deep Neural Networks via Weight Repetition](/publication/2018-06_ucnn-exploiting-computational-reuse-deep-neural-networks-weight-repetition)

Kartik Hegde, Jiyong Yu, Rohit Agrawal, Mengjia Yan, [Michael Pellauer](/person/michael-pellauer), Christopher W. Fletcher



[International Symposium on Computer Architecture (ISCA)](https://dl.acm.org/doi/10.1109/ISCA.2018.00062)









[Structurally Sparsified Backward Propagation for Faster Long Short-Term Memory Training](/publication/2018-06_structurally-sparsified-backward-propagation-faster-long-short-term-memory)

Maohua Zhu, [Jason Clemons](/person/jason-clemons), Jeff Pool, Minsoo Rhu, [Steve Keckler](/person/stephen-keckler), Yuan Xie



[arXiv](https://arxiv.org/abs/1806.00512)









[Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning](/publication/2018-05_probabilistic-and-or-attribute-grouping-zero-shot-learning)

[Yuval Atzmon](/person/yuval-atzmon), [Gal Chechik](/person/gal-chechik)



[The conference on uncertainty in artificial intelligence (UAI 2018)](http://auai.org/uai2018/)









[Reblur2Deblur: Deblurring Videos via Self-Supervised Learning](/publication/2018-05_reblur2deblur-deblurring-videos-self-supervised-learning)

Huaijin Chen, [Jinwei Gu](/person/jinwei-gu), Orazio Gallo, [Ming-Yu Liu](/person/ming-yu-liu), Ashok Veeraraghavan, [Jan Kautz](/person/jan-kautz)



[IEEE International Conference on Computational Photography (ICCP)](http://iccp2018.ece.cmu.edu/)









[Progressive Growing of GANs for Improved Quality, Stability, and Variation](/publication/2018-04_progressive-growing-gans-improved-quality-stability-and-variation)

[Tero Karras](/person/tero-karras), [Timo Aila](/person/timo-aila), [Samuli Laine](/person/samuli-laine), Jaakko Lehtinen



[ICLR 2018](https://iclr.cc/Conferences/2018)









[IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image Classification](/publication/2018-04_iamnn-iterative-and-adaptive-mobile-neural-network-efficient-image)

Sam Leroux, [Pavlo Molchanov](/person/pavlo-molchanov), Pieter Simoens, Bart Dhoedt, [Thomas Breuel](/person/thomas-breuel), [Jan Kautz](/person/jan-kautz)



[International Conference on Learning Representations, Workshop](https://iclr.cc)









[Synchronous Multi-GPU Deep Learning with Low-Precision Communication: An Experimental Study](/index.php/publication/2018-03_synchronous-multi-gpu-deep-learning-low-precision-communication-experimental)

Demjan Grubic, Leo Tam, Dan Alistarh, Ce Zhang



[EDBT 2018](https://edbticdt2018.at/)









[Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks](/index.php/publication/2018-02_compressing-dma-engine-leveraging-activation-sparsity-training-deep-neural)

Minsoo Rhu, [Mike O'Connor](/index.php/person/mike-o-connor), [Niladrish Chatterjee](/index.php/person/niladrish-chatterjee), Jeff Pool, Youngeun Kwon, [Steve Keckler](/index.php/person/stephen-keckler)



[International Symposium on High Performance Computer Architecture (HPCA)](https://ieeexplore.ieee.org/document/8327000)









[Stitch-X: An Accelerator Architecture for Exploiting Unstructured Sparsity in Deep Neural Networks](/publication/2018-02_stitch-x-accelerator-architecture-exploiting-unstructured-sparsity-deep-neural)

Ching-En Lee, Yakun Sophia Shao, Jie-Fang Zhang, [Angshuman Parashar](/person/angshuman-parashar), [Joel Emer](/person/joel-emer), [Steve Keckler](/person/stephen-keckler), Zhengya Zhang



[SysML Conference](https://mlsys.org/Conferences/2018/index.html#posters)









[Learning Binary Residual Representations for Domain-specific Video Streaming](/publication/2018-02_learning-binary-residual-representations-domain-specific-video-streaming)

Yi-Hsuan Tsai, [Ming-Yu Liu](/person/ming-yu-liu), Deqing Sun, Ming-Hsuan Yang, [Jan Kautz](/person/jan-kautz)



[AAAI](https://aaai.org/Conferences/AAAI-18/)









[Learning Adaptive Parameter Tuning for Image Processing](/publication/2018-01_learning-adaptive-parameter-tuning-image-processing)

Jingming Dong, [Iuri Frosio](/person/iuri-frosio), [Jan Kautz](/person/jan-kautz)



[Electronic Imaging 2018, Image Processing: Algorithms and Systems XVI, Burlinga…](https://arxiv.org/abs/1610.09414v2)









### 2017 

[Parallel Complexity of Forward and Backward Propagation](/publication/2017-12_parallel-complexity-forward-and-backward-propagation)

Maxim Naumov



[arXiv:1712.06577 \[cs.LG\]](https://arxiv.org/abs/1712.06577)









[Integral Equations and Machine Learning](/publication/2017-12_integral-equations-and-machine-learning)

[Alex Keller](/person/alex-keller), Ken Dahm



[Mathematics and Computers in Simulation, Volume 161, July 2019, Pages 2-12](https://www.sciencedirect.com/science/article/abs/pii/S0378475419300308)









[AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks](/publication/2017-12_adabatch-adaptive-batch-sizes-training-deep-neural-networks)

Aditya Devarakonda, Maxim Naumov, [Michael Garland](/person/michael-garland)



[arXiv:1712.02029 \[cs.LG\]](https://arxiv.org/abs/1712.02029)









[Unsupervised Image-to-Image Translation Networks](/publication/2017-12_unsupervised-image-image-translation-networks)

[Ming-Yu Liu](/person/ming-yu-liu), [Thomas Breuel](/person/thomas-breuel), [Jan Kautz](/person/jan-kautz)



[NIPS](https://nips.cc/)









[Learning Affinity via Spatial Propagation Networks ](/index.php/publication/2017-12_learning-affinity-spatial-propagation-networks)

[Sifei Liu](/index.php/person/sifei-liu), [Shalini De Mello](/index.php/person/shalini-de-mello), [Jinwei Gu](/index.php/person/jinwei-gu), Guangyu Zhong, Ming-Hsuan Yang, [Jan Kautz](/index.php/person/jan-kautz)



[Conference on Neural Information Processing Systems (NIPS) 2017](https://nips.cc/)









[Understanding Error Propagation in Deep Learning Neural Network (DNN) Accelerators and Applications](/publication/2017-11_understanding-error-propagation-deep-learning-neural-network-dnn-accelerators)

Guanpeng Li, [Siva Hari](/person/siva-hari), [Michael B. Sullivan](/person/mike-sullivan), Timothy Tsai, Karthik Pattabiraman, [Joel Emer](/person/joel-emer), [Steve Keckler](/person/stephen-keckler)



[The International Conference for High Performance Computing, Networking, Storag…](https://dl.acm.org/doi/10.1145/3126908.3126964)









[Parallel Jaccard and Related Graph Clustering Techniques](/publication/2017-11_parallel-jaccard-and-related-graph-clustering-techniques)

Alexandre Fender, Nahid Emad, Serge Petiton, Joe Eaton, Maxim Naumov



[Proceedings of the 8th Workshop on Latest Advances in Scalable Algorithms for L…](https://dl.acm.org/citation.cfm?id=3148231&CFID=830256003&CFTOKEN=94614338)









[Learning to Super-Resolve Blurry Face and Text Images](/publication/2017-10_learning-super-resolve-blurry-face-and-text-images)

Xiangyu Xu, Deqing Sun, Jinshan Pan, Yujin Zhang, Hanspeter Pfister, Ming-Hsuan Yang



International Conference on Computer Vision









[A Lightweight Approach for On-the-Fly Reflectance Estimation](/publication/2017-10_lightweight-approach-fly-reflectance-estimation)

Kihwan Kim, [Jinwei Gu](/person/jinwei-gu), [Stephen Tyree](/person/stephen-tyree), [Pavlo Molchanov](/person/pavlo-molchanov), Matthias Nießner, [Jan Kautz](/person/jan-kautz)



[IEEE International Conference on Computer Vision (ICCV 2017)](http://iccv2017.thecvf.com/)









[Group online adaptive learning](/index.php/publication/2017-10_group-online-adaptive-learning)

Alon Zweig, [Gal Chechik](/index.php/person/gal-chechik)



[Journal Machine Learning](https://link.springer.com/epdf/10.1007/s10994-017-5661-5?author_access_token=ashLAJKa_v5LXlnRBIWcyPe4RwlQNchNByi7wbcMAY5zAt2h-4_)









[Feedforward and Recurrent Neural Networks Backward Propagation and Hessian in Matrix Form](/index.php/publication/2017-09_feedforward-and-recurrent-neural-networks-backward-propagation-and-hessian)

Maxim Naumov



[arXiv:1709.06080 \[cs.LG\]](https://arxiv.org/abs/1709.06080)









[Tactics of Adversarial Attack on Deep Reinforcement Learning Agents](/publication/2017-08_tactics-adversarial-attack-deep-reinforcement-learning-agents)

Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao , Meng-Li Shi, [Ming-Yu Liu](/person/ming-yu-liu), Min Sun



[IJCAI](https://ijcai-17.org/)









[Audio-Driven Facial Animation by Joint End-to-End Learning of Pose and Emotion](/index.php/publication/2017-07_audio-driven-facial-animation-joint-end-end-learning-pose-and-emotion)

[Tero Karras](/index.php/person/tero-karras), [Timo Aila](/index.php/person/timo-aila), [Samuli Laine](/index.php/person/samuli-laine), Antti Herva, Jaakko Lehtinen



[SIGGRAPH 2017](http://dl.acm.org/citation.cfm?id=3072959&picked=prox)









[Parallel Modularity Clustering](/publication/2017-06_parallel-modularity-clustering)

Alexandre Fender, Nahid Emad, Serge Petiton, Maxim Naumov



[Procedia Computer Science (Elsevier)](https://doi.org/10.1016/j.procs.2017.05.198)









[SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks](/publication/2017-05_scnn-accelerator-compressed-sparse-convolutional-neural-networks)

[Angshuman Parashar](/person/angshuman-parashar), Minsoo Rhu, Anurag Mukkara, Antonio Puglielli, [Rangharajan Venkatesan](/person/rangharajan-venkatesan), [Brucek Khailany](/person/brucek-khailany), [Joel Emer](/person/joel-emer), [Steve Keckler](/person/stephen-keckler), [William Dally](/person/william-dally)



[arXiv](https://arxiv.org/abs/1708.04485)









[Pruning Convolutional Neural Networks for Resource Efficient Inference](/publication/2017-04_pruning-convolutional-neural-networks-resource-efficient-inference)

[Pavlo Molchanov](/person/pavlo-molchanov), [Stephen Tyree](/person/stephen-tyree), [Tero Karras](/person/tero-karras), [Timo Aila](/person/timo-aila), [Jan Kautz](/person/jan-kautz)



[International Conference on Learning Representations (ICLR 2017)](https://openreview.net/forum?id=SJGCiw5gl&noteId=SJGCiw5gl)









[Context-aware Captions from Context-agnostic Supervision](/publication/2017-04_context-aware-captions-context-agnostic-supervision)

Ramakrishna Vedantam, Samy Bengio, Kevin Murphy, Devi Parikh, [Gal Chechik](/person/gal-chechik)



[Computer Vision and Pattern Recognition](https://arxiv.org/abs/1701.02870)









[Learning From Noisy Large-Scale Datasets With Minimal Supervision](/publication/2017-04_learning-noisy-large-scale-datasets-minimal-supervision)

Andreas Veit, Neil Alldrin, [Gal Chechik](/person/gal-chechik), Ivan Krasin, Abhinav Gupta, Serge Belongie



[Computer Vision and Pattern Recognition](https://arxiv.org/abs/1701.01619)









[Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU](/publication/2017-04_reinforcement-learning-through-asynchronous-advantage-actor-critic-gpu)

[Iuri Frosio](/person/iuri-frosio), [Stephen Tyree](/person/stephen-tyree), [Jason Clemons](/person/jason-clemons), [Jan Kautz](/person/jan-kautz), Mohammad Babaeizadeh



[Proceeding of ICLR 2017](https://openreview.net/pdf?id=r1VGvBcxl)









[Loss Functions for Image Restoration with Neural Networks](/publication/2017-03_loss-functions-image-restoration-neural-networks)

Hang Zhao, Orazio Gallo, [Iuri Frosio](/person/iuri-frosio), [Jan Kautz](/person/jan-kautz)



[IEEE Transactions on Computational Imaging](http://ieeexplore.ieee.org/document/7797130/)









### 2016 

[Tensor Contractions with Extended BLAS Kernels on CPU and GPU](/publication/2016-12_tensor-contractions-extended-blas-kernels-cpu-and-gpu)

Yang Shi, U. N. Niranjan, Animashree Anandkumar, [Cris Cecka](/person/cris-cecka)



[2016 IEEE 23rd International Conference on High Performance Computing (HiPC) ](http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7837798)









[Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU](/publication/2016-11_reinforcement-learning-through-asynchronous-advantage-actor-critic-gpu)

Mohammad Babaeizadeh, [Iuri Frosio](/person/iuri-frosio), [Stephen Tyree](/person/stephen-tyree), [Jason Clemons](/person/jason-clemons), [Jan Kautz](/person/jan-kautz)



[arXiv](https://arxiv.org/abs/1611.06256)









[vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design.](/publication/2016-10_vdnn-virtualized-deep-neural-networks-scalable-memory-efficient-neural-network)

Minsoo Rhu, Natalia Gimelshein, [Jason Clemons](/person/jason-clemons), Arslan Zulfiqar, [Steve Keckler](/person/stephen-keckler)



[International Symposium on Microarchitecture (MICRO)](https://dl.acm.org/doi/10.5555/3195638.3195660)









[Temporal Ensembling for Semi-Supervised Learning](/publication/2016-10_temporal-ensembling-semi-supervised-learning)

[Samuli Laine](/person/samuli-laine), [Timo Aila](/person/timo-aila)



[ICLR 2017](http://www.iclr.cc/doku.php?id=iclr2017:main)









[Multilayer and Multimodal Fusion of Deep Neural Networks for Video Classification](/publication/2016-10_multilayer-and-multimodal-fusion-deep-neural-networks-video-classification)

[Xiaodong Yang](/person/xiaodong-yang), [Pavlo Molchanov](/person/pavlo-molchanov), [Jan Kautz](/person/jan-kautz)



[ACM Multimedia](http://www.acmmm.org/2016/)









[Learning to generalize to new compositions in image understanding](/publication/2016-08_learning-generalize-new-compositions-image-understanding)

[Yuval Atzmon](/person/yuval-atzmon), Jonathan Berant, Vahid Kezami, Amir Globerson, [Gal Chechik](/person/gal-chechik)



[Arxiv](https://arxiv.org/abs/1608.07639)









[Towards Selecting Robust Hand Gestures for Automotive Interfaces](/publication/2016-06_towards-selecting-robust-hand-gestures-automotive-interfaces-0)

[Shalini Gupta](/person/shalini-de-mello), [Pavlo Molchanov](/person/pavlo-molchanov), Xiaodong Yang, [Stephen Tyree](/person/stephen-tyree), [Jan Kautz](/person/jan-kautz)



[IEEE Intelligent Vehicles Symposium (IV) 2016](http://iv2016.org/)









[Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks](/publication/2016-06_eyeriss-spatial-architecture-energy-efficient-dataflow-convolutional-neural)

Yu-Hsin Chen, [Joel Emer](/person/joel-emer), Vivienne Sze



[International Symposium on Computer Architecture (ISCA)](https://ieeexplore.ieee.org/document/7551407)









[Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks ](/publication/2016-06_online-detection-and-classification-dynamic-hand-gestures-recurrent-3d)

[Pavlo Molchanov](/person/pavlo-molchanov), [Xiaodong Yang](/person/xiaodong-yang), [Shaline Gupta](/person/shalini-de-mello), Kihwan Kim, [Stephen Tyree](/person/stephen-tyree), [Jan Kautz](/person/jan-kautz)



[IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016](http://cvpr2016.thecvf.com/)









[Parallel Spectral Graph Partitioning](/publication/2016-03_parallel-spectral-graph-partitioning)

Maxim Naumov, Timothy Moon



Technical Report NVR-2016-001









[vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design](/publication/2016-02_vdnn-virtualized-deep-neural-networks-scalable-memory-efficient-neural-network)

Minsoo Rhu, Natalia Gimelshein, [Jason Clemons](/person/jason-clemons), Arslan Zulfiqar, [Steve Keckler](/person/stephen-keckler)



[arXiv](https://arxiv.org/abs/1602.08124)









### 2015 

[Learning Sparse Metrics, One Feature at a Time](/publication/2015-12_learning-sparse-metrics-one-feature-time)

[Yuval Atzmon](/person/yuval-atzmon), Uri Shalit, [Gal Chechik](/person/gal-chechik)



[Journal of Machine Learning Research](https://proceedings.mlr.press/v44/atzmon2015.html)









[Compressing Neural Networks with the Hashing Trick](/publication/2015-07_compressing-neural-networks-hashing-trick)

Wenlin Chen, James T. Wilson, [Stephen Tyree](/person/stephen-tyree), Kilian Q. Weinberger, Yixin Chen



[Proceedings of The 32nd International Conference on Machine Learning](http://jmlr.org/proceedings/papers/v37/)









[Hand Gesture Recognition with 3D Convolutional Neural Networks ](/publication/2015-06_hand-gesture-recognition-3d-convolutional-neural-networks)

[Pavlo Molchanov](/person/pavlo-molchanov), [Shalini Gupta](/person/shalini-de-mello), Kihwan Kim, [Jan Kautz](/person/jan-kautz)



[IEEE Computer Vision and Pattern Recognition Workshop (CVPRW) 2015](http://www.pamitc.org/cvpr15/)



Winner (1st place) Hand Gesture Recognition Challenge





[Short-Range FMCW Monopulse Radar for Hand-Gesture Sensing ](/publication/2015-05_short-range-fmcw-monopulse-radar-hand-gesture-sensing)

[Pavlo Molchanov](/person/pavlo-molchanov), Shalini Gupta, Kihwan Kim, Kari Pulli



[IEEE International Radar Conference](http://www.ieeeintlradar2015.com/program/)









[Multi-sensor System for Driver’s Hand-Gesture Recognition ](/publication/2015-05_multi-sensor-system-driver-s-hand-gesture-recognition)

[Pavlo Molchanov](/person/pavlo-molchanov), [Shalini Gupta](/person/shalini-de-mello), Kihwan Kim, Kari Pulli



[IEEE International Conference on Automatic Face and Gesture Recognition (FG) 20…](http://www.fg2015.org/)









[Adaptive Segmentation based on a Learned Quality Metric](/publication/2015-03_adaptive-segmentation-based-learned-quality-metric)

[Iuri Frosio](/person/iuri-frosio), Ed Ratner



[Proceedings of the 10th International Conference on Computer Vision Theory and …](http://www.visapp.visigrapp.org/)









[Machine Learning for Adaptive Bilateral Filtering](/publication/2015-02_machine-learning-adaptive-bilateral-filtering)

[Iuri Frosio](/person/iuri-frosio), Karen Egiazarian, Kari Pulli



[Proc. SPIE 9399, Image Processing: Algorithms and Systems XIII](http://spie.org/EI/conferencedetails/image-processing-algorithms-systems#2077733)









### 2014 

[cuDNN: Efficient Primitives for Deep Learning](/index.php/publication/2014-12_cudnn-efficient-primitives-deep-learning)

Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, Jonathan Cohen, John Tran, Bryan Catanzaro, Evan Shelhamer



[Deep Learning and Representation Learning Workshop (NIPS2014)](http://www.dlworkshop.org/home)









[MesoGAN: Generative Neural Reflectance Shells](/publication/_mesogan-generative-neural-reflectance-shells)

Stavros Diolatzis, [Jan Novák](/person/jan-novak), [Fabrice Rousselle](/person/fabrice-rousselle), Jonathan Granskog, [Miika Aittala](/person/miika-aittala), Ravi Ramamoorthi, George Drettakis



[Computer Graphics Forum](https://onlinelibrary.wiley.com/doi/abs/10.1111/cgf.14846)









[Graph Positional Encoding via Random Feature Propagation](/publication/_graph-positional-encoding-random-feature-propagation)

Moshe Eliasof, Fabrizio Frasca, Beatrice Bevilacqua, Eran Treister, [Gal Chechik](/person/gal-chechik), [Haggai Maron](/person/haggai-maron)



[ICML 2023](https://proceedings.mlr.press/v202/eliasof23a/eliasof23a.pdf)









 

 



 ### Researchers

 

[Aamer Jaleel](/person/aamer-jaleel)



[Aaron Lefohn](/person/aaron-lefohn)



[Abdul Aldossary](/person/abdul-aldossary)



[Ajay Mandlekar](/person/ajay-mandlekar)



[Akash Gokul](/index.php/person/akash-gokul)



[Alán Aspuru-Guzik](/person/alan-aspuru-guzik)



[Alex Keller](/person/alex-keller)



[Alex Zook](/person/alex-zook)



[Ali Hatamizadeh](/person/ali-hatamizadeh)



[Alice Luo](/person/alice-luo)



[Alperen Degirmenci](/person/alperen-degirmenci)



[Andrei Alexandrescu](/person/andrei-alexandrescu)



[Andrew Wang](/person/andrew-wang)



[Andriy Myronenko](/person/andriy-myronenko)



[Angshuman Parashar](/person/angshuman-parashar)



[Apoorva Sharma](/person/apoorva-sharma)



[Arash Vahdat](/person/arash-vahdat)



[Athinagoras Skiadopoulos](/index.php/person/athinagoras-skiadopoulos)



[Aviral Kumar](/person/aviral-kumar)



[Balakumar Sundaralingam](/person/balakumar-sundaralingam)



[Bart Wronski](/person/bart-wronski)



[Ben Keller](/person/ben-keller)



[Benjamin Eckart](/person/ben-eckart)



[Benjamin Klenk](/index.php/person/ben-klenk)



[Bing Xu](/person/bing-xu)



[Boris Bonev](/person/boris-bonev)



[Boris Ivanovic](/person/boris-ivanovic)



[Boyi Li](/person/boyi-li)



[Brandon Cui](/index.php/person/brandon-cui)



[Brucek Khailany](/index.php/person/brucek-khailany)



[Byung-Kwan Lee](/person/byung-kwan-lee)



[Caelan Garrett](/index.php/person/caelan-garrett)



[Charbel Sakr](/index.php/person/charbel-sakr)



[Chen Tessler](/index.php/person/chen-tessler)



[Chen-Hsuan Lin](/person/chen-hsuan-lin)



[Cheng Sun](/person/cheng-sun)



[Chenhui Deng](/person/chenhui-deng)



[Chi-Pin Huang](/person/chi-pin-huang)



[Chia-Tung (Mark) Ho](/person/chia-tung-mark-ho)



[Chia-Wen Kuo](/person/chia-wen-kuo)



[Chong Xiang](/index.php/person/chong-xiang)



[Christian Jacobsen](/person/christian-jacobsen)



[Claudia Pérez D’Arpino ](/person/cdarpino)



[Craig Kolb](/person/craig-kolb)



[Cris Cecka](/index.php/person/cris-cecka)



[Daguang Xu](/person/daguang-xu)



[Daniel Leibovici](/person/daniel-leibovici)



[David Acuna](/person/david-acuna)



[David Hsu](/person/david-hsu)



[David Minor](/index.php/person/david-minor)



[David Nellans](/index.php/person/david-nellans)



[David Sami](/person/david-sami)



[Dennis Abts](/person/dennis-abts)



[Dennis Da](/index.php/person/dennis-da)



[Dong Yang](/person/dong-yang)



[Edward Suh](/person/edward-suh)



[Eli Meirom](/person/eli-meirom)



[Elie Aljalbout](/person/elie-aljalbout)



[Enze Xie](/person/enze-xie)



[Fabrice Rousselle](/person/fabrice-rousselle)



[Fayçal Aït Aoudia ](/person/faycal-ait-aoudia)



[Fernando Castaneda](/index.php/person/fernando-castaneda)



[Francesco Ferroni](/person/francesco-ferroni)



[Frank Wang](/person/frank-wang)



[Fred Yang](/person/fred-yang)



[Gal Chechik](/person/gal-chechik)



[Gal Dalal](/index.php/person/gal-dalal)



[Gian Marti](/person/gian-marti)



[Greg Heinrich](/person/greg-heinrich)



[Guan-Ting (Danny) Liu](/person/guan-ting-danny-liu)



[Guanzhi Wang](/person/guanzhi-wang)



[Hamid Eghbalzadeh](/person/hamid-eghbalzadeh)



[Han Cai](/person/han-cai)



[Hang Su](/person/hang-su)



[Hanrong Ye](/person/hanrong-ye)



[Hao Zhang](/person/hao-zhang)



[Haotian Zhang](/person/haotian-zhang)



[Haoyu Yang](/person/haoyu-yang)



[Haozhe Liu](/person/haozhe-liu)



[Hasan Nazim Genc](/person/hasan-nazim-genc)



[Heng Yang](/person/heng-yang)



[Hongxu Danny Yin](/person/danny-yin)



[Hugo Hadfield](/index.php/person/hugo-hadfield)



[Ido Greenberg](/person/ido-greenberg)



[Imad El Hanafi](/person/imad-el-hanafi)



[Iuri Frosio](/person/iuri-frosio)



[Jacob Huffman](/person/jacob-huffman)



[Jacob Munkberg](/person/jacob-munkberg)



[Jaehun Jung](/index.php/person/jaehun-jung)



[Jaesung Choe](/person/jaesung-choe)



[Jaideep Pathak](/person/jaideep-pathak)



[Jakob Hoydis](/index.php/person/jakob-hoydis)



[Jan Kautz](/person/jan-kautz)



[Jan Novák](/person/jan-novak)



[Jason Stock](/person/jason-stock)



[Jef Packer](/person/jef-packer)



[Jeff Smith](/person/jeff-smith)



[Jiaojiao Fan](/person/jiaojiao-fan)



[Jiashu Xu](/person/jiashu-xu)



[Jie Xu](/person/jie-xu)



[Jiefeng Li](/person/jiefeng-li)



[Linxi "Jim" Fan](/person/linxi-jim-fan)



[Jimmy Wu](/person/jimmy-wu)



[Jindong Jiang](/person/jindong-jiang)



[Jing Wang](/person/jing-wang)



[Jing Zhang](/person/jing-zhang)



[Jinwei Gu](/person/jinwei-gu)



[Johan Bjorck](/index.php/person/johan-bjorck)



[Joohwan Kim](/person/joohwan-kim)



[Josef Spjut](/person/josef-spjut)



[Julius Berner](/index.php/person/julius-berner)



[Junhyeok Ahn](/person/junhyeok-ahn)



[Junyu Chen](/person/junyu-chen)



[Kaichun Mo](/person/kaichun-mo)



[Karsten Kreis](/person/karsten-kreis)



[Kaushil Prakashbhai Kundalia](/person/kaushil-prakashbhai-kundalia)



[Kieran Didi](/person/kieran-didi)



[Koki Nagano](/person/koki-nagano)



[Kuno Kim](/person/kuno-kim)



[Lars Johannsmeier](/person/lars-johannsmeier)



[Li Xu](/person/li-xu)



[Ligeng Zhu](/person/ligeng-zhu)



[Liz Cha](/person/liz-cha)



[Loic Magne](/person/loic-magne)



[Marina Neseem](/index.php/person/marina-neseem)



[Markus Kettunen](/person/markus-kettunen)



[Matthijs Van keirsbilck](/person/matthijs-van-keirsbilck)



[Max Zhaoshuo Li](/person/max-zhaoshuo-li)



[Melih Elibol](/person/melih-elibol)



[Mengyao Xu](/person/mengyao-xu)



[Merlin Nimier-David](/index.php/person/merlin-nimier-david)



[Michael Stengel](/index.php/person/michael-stengel)



[Miika Aittala](/person/miika-aittala)



[Mike O'Connor](/person/mike-o-connor)



[Mike Pritchard](/person/mike-pritchard)



[Min-Hung Chen](/person/min-hung-chen)



[Ming-Yu Liu](/person/ming-yu-liu)



[Mingjie Liu](/index.php/person/mingjie-liu)



[Morteza Mardani](/person/morteza-mardani)



[Nathaniel Pinckney](/index.php/person/nathaniel-pinckney)



[Nicolai Oswald](/person/nicolai-oswald)



[Nikola Kovachki](/person/nikola-kovachki)



[Nikolaus Binder](/person/nikolaus-binder)



[Niladrish Chatterjee](/person/niladrish-chatterjee)



[Noah Brenowitz](/person/noah-brenowitz)



[Omer Shapira](/index.php/person/omer-shapira)



[Pavlo Molchanov](/person/pavlo-molchanov)



[Peter Belcak](/person/peter-belcak)



[Peter Karkus](/person/peter-karkus)



[Peter Xenopoulos](/person/peter-xenopoulos)



[Petrik Clarberg](/person/petrik-clarberg)



[Prithvijit Chattopadhyay](/person/prithvijit-chattopadhyay)



[Qianli Ma](/person/qianli-ma)



[Qijing Jenny Huang](/person/qijing-jenny-huang)



[Rachel Luo](/person/rachel-luo)



[Rama Akkiraju](/person/rama-akkiraju)



[Rowland O'Flaherty](/person/rowland-oflaherty)



[Runyu Ding](/person/runyu-ding)



[Ryo Hachiuma](/person/ryo-hachiuma)



[Sameer Dharur](/index.php/person/sameer-dharur)



[Samuli Laine](/person/samuli-laine)



[Sanja Fidler](/person/sanja-fidler)



[Sanjay Kariyappa](/person/sanjay-kariyappa)



[Saurav Muralidharan](/index.php/person/saurav-muralidharan)



[Scott Reed](/person/scott-reed)



[Sebastian Cammerer](/person/sebastian-cammerer)



[Seonwook Park](/person/seonwook-park)



[Sergei Vasilev](/person/sergei-vasilev)



[Seungjun Nah](/person/seungjun-nah)



[Shalini De Mello](/person/shalini-de-mello)



[Shengze Wang](/index.php/person/shengze-wang)



[Shitao Tang](/person/shitao-tang)



[Shuai Yang](/person/shuai-yang)



[Shuran Song](/person/shuran-song)



[Siddharth Gururani](/person/siddharth-gururani)



[Sifei Liu](/person/sifei-liu)



[Simon Kallweit](/person/simon-kallweit)



[Siva Hari](/person/siva-hari)



[Song Bian](/person/song-bian)



[Song Han](/person/song-han)



[Stella Shi](/person/stella-shi)



[Stephen Tyree](/person/stephen-tyree)



[Steve Keckler](/index.php/person/stephen-keckler)



[Sung-Feng Huang](/person/sung-feng-huang)



[Szu-Wei Fu](/person/szu-wei-fu)



[Taylor Patti](/person/taylor-patti)



[Thomas Müller](/person/thomas-muller)



[Timo Aila](/person/timo-aila)



[Ting-Chun Wang](/person/ting-chun-wang)



[Tobias Zirr](/person/tobias-zirr)



[Tom Gong](/index.php/person/tom-gong)



[Tomas Geffner](/index.php/person/tomas-geffner)



[Tucker Hermans](/person/tucker-hermans)



[Umar Iqbal](/person/umar-iqbal)



[Valts Blukis](/index.php/person/valts-blukis)



[Vikram Suresh](/person/vikram-suresh)



[Vinu Joseph](/person/vinu-joseph)



[Wei Yang](/index.php/person/wei-yang)



[Wei-Cheng Tseng](/person/wei-cheng-tseng)



[Wen-mei Hwu](/person/wen-mei-hwu)



[William Dally](/person/william-dally)



[Xiaowei Jiang](/index.php/person/xiaowei-jiang)



[Ximing Lu](/index.php/person/ximing-lu)



[Xingqian Xu](/index.php/person/xingqian-xu)



[Xuan Li](/person/xuan-li)



[Xuning Yang](/person/xuning-yang)



[Yashraj Narang](/person/yashraj-narang)



[Ye Yuan](/person/ye-yuan)



[Yi Dong](/person/yi-dong)



[Yifan Ding](/person/yifan-ding)



[Yijie Guo](/person/yijie-guo)



[Yilun Du](/person/yilun-du)



[Yin Cui](/person/yin-cui)



[Yinzhen Xu](/person/yinzhen-xu)



[Yoad Tewel](/person/yoad-tewel)



[Yogesh Balaji](/person/yogesh-balaji)



[Yonggan Fu](/person/yonggan-fu)



[Yongxin Chen](/person/yongxin-chen)



[You Liang Tan](/index.php/person/you-liang-tan)



[Yu Wang](/person/yu-wang)



[Yu Zeng](/person/yu-zeng)



[Yu-Wei Chao](/person/yu-wei-chao)



[Yue Wang](/person/yue-wang)



[Yufei Ye](/person/yufei-ye)



[Yunhao Ge](/person/yunhao-ge)



[Yunsheng Bai](/person/yunsheng-bai)



[Yusuke Hirota](/person/yusuke-hirota)



[Yuval Atzmon](/person/yuval-atzmon)



[Yuyang Zhao](/person/yuyang-zhao)



[Zachary Susskind](/person/zachary-susskind)



[Zekun Hao](/index.php/person/zekun-hao)



[Zhen Dong](/person/zhen-dong)



[Zhiding Yu](/person/zhiding-yu)



[Zhijian Liu](/person/zhijian-liu)



[Zhongzhi Yu](/person/zhongzhi-yu)



[Ziyue Xu](/person/ziyue-xu)