Publications

Our publications provide insight into some of our leading-edge research.

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2023

IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality
Bingjie Tang, Michael A. Lin, Iretiayo Akinola, Ankur Handa, Gaurav S. Sukhatme, Fabio Ramos, Dieter Fox, Yashraj Narang
The Best Defense is a Good Offense: Adversarial Augmentation against Adversarial Attacks
Iuri Frosio, Jan Kautz
RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control
Zhenggang Tang, Balakumar Sundaralingam, Jonathan Tremblay, Bowen Wen, Ye Yuan, Stephen Tyree, Charles Loop, Alexander Schwing, Stan Birchfield
Subpixel Deblurring of Anti-Aliased Raster Clip Art
Jinfan Yang, Nicholas Vining, Shakiba Kheradmand, Nathan Carr, Leonid Sigal, Alla Sheffer
CabiNet: Scaling Neural Collision Detection for Object Rearrangement with Procedural Scene Generation
Adithya Murali, Arsalan Mousavian, Clemens Eppner, Adam Fishman, Dieter Fox
Tight Bounding Boxes for Voxels and Bricks in a Signed Distance Field Ray Tracer
Herman Hansson-Söderlund, Tomas Akenine-Möller
Luminance-Preserving and Temporally Stable Daltonization
Pontus Ebelin, Cyril Crassin, Gyorgy Denes, Magnus Oskarsson, Kalle Åström, Tomas Akenine-Möller
Stochastic Texture Filtering
Marcos Fajardo, Bartlomiej Wronski, Marco Salvi, Matt Pharr
Fast Conformer with Linearly Scalable Attention for Efficient Speech Recognition
Dima Rekesh, Nithin Rao Koluguri, Samuel Kriman, Somshubra Majumdar, Vahid Noroozi, He Huang, Oleskii Hrinchuk, Krishna Puvvada, Ankur Kumar, Jagadeesh Balam, Boris Ginsburg
Real-Time Neural Appearance Models
Tizian Zeltner, Fabrice Rousselle, Andrea Weidlich, Petrik Clarberg, Jan Novák, Benedikt Bitterli, Alex Evans, Tomáš Davidovič, Simon Kallweit, Aaron Lefohn
Recursive Control Variates for Inverse Rendering
Baptiste Nicolet, Fabrice Rousselle, Jan Novák, Alexander Keller, Wenzel Jakob, Thomas Müller
Inverse Global Illumination using a Neural Radiometric Prior
Saeed Hadadan, Geng Lin, Jan Novák, Fabrice Rousselle, Matthias Zwicker
CALM: Conditional Adversarial Latent Models for Directable Virtual Characters
Chen Tessler, Yoni Kasten, Yunrong Guo, Shie Mannor, Gal Chechik, Xue Bin Peng
GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation
Chenhongyi Yang, Jiarui Xu, Shalini De Mello, Elliot J. Crowley, Xiaolong Wang
Notable top 25%
Oral
Robust and Controllable Object-Centric Learning through Energy-based Models
Ruixiang Zhang, Gerry Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull
A 9.7fJ/Conv.-Step Capacitive Sensor Readout Circuit with Incremental Zoomed Time Domain Quantization
Zilong Shen, Xiyuan Tang, Zhongyi Wu, Haoyang Luo, Zongnan Wang, Mingjie Liu, Xing Zhang, Yuan Wang
Towards a scalable discrete quantum generative adversarial neural network
Smit Chaudhary, Patrick Huembeli, Ian MacCormack, Taylor Patti, Jean Kossaifi, Alexey Galda
A 0.297-pJ/Bit 50.4-Gb/s/Wire Inverter-Based Short-Reach Simultaneous Bi-Directional Transceiver for Die-to-Die Interface in 5-nm CMOS
Yoshinori Nishi, John W. Poulton, Walker Turner, Xi Chen, Sanquan Song, Brian Zimmer, Stephen Tell, Nikola Nedovic, John Wilson, William Dally, Tom Gray
Reinforcement Learning Guided Detailed Routing for Custom Circuits
Hao Chen, Kai-Chieh Hsu, Walker Turner, Po-Hsuan Wei, Keren Zhu, David Z. Pan, Haoxing (Mark) Ren
DREAM-GAN: Advancing DREAMPlace towards Commercial-Quality using Generative Adversarial Learning
Yi-Chen Lu, Haoxing (Mark) Ren, Hao-Hsiang Hsiao, Sung Kyu Lim
NVCell 2: Routability-Driven Standard Cell Layout in Advanced Nodes with Lattice Graph Routability Model
Chia-Tung (Mark) Ho, Alvin Ho, Matt Fojtik, Minsoo Kim, Shang Wei, Yaguang LI, Brucek Khailany, Haoxing (Mark) Ren
AutoDMP: Automated DREAMPlace-based Macro Placement
Anthony Agnesina, Puranjay Rajvanshi, Tian Yang, Geraldo Pradipta, Austin Jiao, Ben Keller, Brucek Khailany, Haoxing (Mark) Ren
On Legalization of Die Bonding Bumps and Pads for 3D ICs
Sai Pentapati, Anthony Agnesina, Moritz Brunion, Yen-Hsiang Huang, Sung Kyu Lim
Joint Neural Denoising of Surfaces and Volumes
Nikolai Hofmann, Jon Hasselgren, Jacob Munkberg
Equivariant Architectures for Learning in Deep Weight Spaces
Aviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, Gal Chechik, Haggai Maron
Visibility Algorithms for Dynamic Dependence Analysis and Distributed Coherence
Michael Bauer, Elliott Slaughter, Sean Treichler, Wonchan Lee, Michael Garland, Alex Aiken
Parsimony: Enabling SIMD/Vector Programming in Standard Compiler Flows
Vijay Kandiah, Daniel Lustig, Oreste Villa, David Nellans, Nikos Hardavellas
Enabling Scalable AI Computational Lithography with Physics-Inspired Models
Haoyu Yang, Haoxing (Mark) Ren
Beyond CPO: A Motivation and Approach for Bringing Optics onto the Silicon Interposer
Ben Lee, Nikola Nedovic, Trey Greer, Tom Gray
Target-free Text-guided Image Manipulation
Wan-Cyuan Fan, Cheng-Fu Yang, Chiao-An Yang, Frank Wang
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis
Wan-Cyuan Fan, Yen-Chun Chen, Dongdong Chen, Yu Cheng, Lu Yuan, Frank Wang
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs
Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavy, Gal Dalal