Publications

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

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2022

GENIE: Higher-Order Denoising Diffusion Solvers
Tim Dockhorn, Arash Vahdat, Karsten Kreis
Towards Precision-Aware Fault Tolerance Approaches for Mixed-Precision Applications
Bo Fang, Siva Hari, Timothy Tsai, Xinyi Li, Ganesh Gopalakrishnan, Ignacio Laguna, Kevin Barker, Ang Li
Accidental Learners: Spoken Language Identification in Multilingual Self-Supervised Models
Travis M. Bartley, Fei Jia, Krishna C. Puvvada, Samuel Kriman, Boris Ginsburg
6-DoF Pose Estimation of Household Objects for Robotic Manipulation: An Accessible Dataset and Benchmark
Stephen Tyree, Jonathan Tremblay, Stan Birchfield, et al.
Optimized geometries for cooperative photon storage in an impurity coupled to a two-dimensional atomic array
Samuel Buckley-Bonanno, Stefan Ostermann, Oriol Rubies-Bigorda, Taylor Patti, Susanne F. Yelin
Editors' Suggestion
The Implications of Page Size Management on Graph Analytics
Aninda Manocha, Zi Yan, Esin Tureci, Juan Luis Aragón, David Nellans, Margaret Martonosi
Demystifying Map Space Exploration for NPUs
Sheng-Chun Kao, Angshuman Parashar, Po-An Tsai, Tushar Krishna
Multi-blank Transducers for Speech Recognition
Hainan Xu, Fei Jia, Somshubra Majumdar, Shinji Watanabe, Boris Ginsburg
Esports and expertise: what competitive gaming can teach us about mastery
Ben Boudaoud, Josef Spjut, Joohwan Kim, Arjun Madhusudan, Benjamin Watson
Adapter-Based Extension of Multi-Speaker Text-to-Speech Model for New Speakers
Cheng-Ping Hsieh, Subhankar Ghosh, Boris Ginsburg
Adaptive NN-based OFDM Receivers: Computational Complexity vs. Achievable Performance
Moritz Benedikt Fischer, Sebastian Dörner, Felix Krieg, Sebastian Cammerer, Stephan ten Brink
Towards Adaptive Digital Self-Interference Cancellation in Full-Duplex Wireless Transceivers: APSM vs. Neural Networks
M. Hossein Attar, Kaixin Chang, Ramez Askar, Slawomir Stanczak, Sebastian Cammerer, Guillermo Marcus, Alex Keller
Why are Graph Neural Networks Effective for EDA Problems?
Haoxing (Mark) Ren, Siddhartha Nath, Yanqing Zhang, Hao Chen, Mingjie Liu
TransSizer: A Novel Transformer-Based Fast Gate Sizer
Siddhartha Nath, Geraldo Pradipta, Corey Hu, Tian Yang, Brucek Khailany, Haoxing (Mark) Ren
TAG: Learning Circuit Spatial Embedding from Layouts
Keren Zhu, Hao Chen, Walker Turner, George F. Kokai, Po-Hsuan Wei, David Z. Pan, Haoxing (Mark) Ren
A Compact End-to-End Model with Local and Global Context for Spoken Language Identification
Fei Jia, Nithin Rao Koluguri, Jagadeesh Balam, Boris Ginsburg
Sparseloop: An Analytical Approach to Sparse Tensor Accelerator Modeling
Yannan Nellie Wu, Po-An Tsai, Angshuman Parashar, Vivienne Sze, Joel Emer
Distinguished Artifact award
Evaluating Parameter Efficient Learning for Generation
Peng Xu, Mostofa Patwary, Shrimai Prabhumoye, Virginia Adams, Ryan J. Prenger, Wei Ping, Nayeon Lee, Mohammad Shoeybi, Bryan Catanzaro
Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty
Boris Ivanovic, Kuan-Hui Lee, Pavel Tokmakov, Blake Wulfe, Adrien Gaidon, Marco Pavone
Augmenting Legacy Networks for Flexible Inference.
Jason Clemons, Iuri Frosio, Maying Shen, Jose M. Alvarez, Steve Keckler
Text2LIVE: Text-Driven Layered Image and Video Editing
Omer Bar-Tal, Dolev Ofri-Amar, Rafail Fridman, Yoni Kasten, Tali Dekel
Learning Perceptual Concepts by Bootstrapping from Human Queries
Andreea Bobu, Chris Paxton, Wei Yang, Balakumar Sundaralingam, Yu-Wei Chao, Maya Cakmak, Dieter Fox
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction
Yulong Cao, Chaowei Xiao, Anima Anandkumar, Danfei Xu, Marco Pavone
LANA: Latency Aware Network Acceleration
Pavlo Molchanov, Jimmy Hall, Hongxu Danny Yin, Jan Kautz, Nicolo Fusi, Arash Vahdat
Generative Adversarial Neural Operators
Md Ashiqur Rahman, Manuel A. Florez, Anima Anandkumar, Zachary E. Ross, Kamyar Azizzadenesheli
Audio-Visual Segmentation
Jinxin Zhou, Yiran Zhong, Stan Birchfield, et al.
Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising
Jon Hasselgren, Nikolai Hofmann, Jacob Munkberg
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning
Guy Tenneholtz, Assaf Hallak, Gal Dalal, Shie Mannor, Gal Chechik
Damage Control During Domain Adaptation for Transducer Based Automatic Speech Recognition
Somshubra Majumdar, Shantanu Acharya, Vitaly Lavrukhin, Boris Ginsburg
Ray Tracing of Signed Distance Function Grids
Herman Hansson-Söderlund, Alex Evans, Tomas Akenine-Möller
Photonic Circuits for Accelerated Computing Systems
Ben Lee
XT-PRAGGMA: Crosstalk Pessimism Reduction Accessible by GPU Gate-level Simulations and Machine Learning
Vidya Chhabria, Ben Keller, Yanqing Zhang, Sandeep Vollala, Sreedhar Patty, Haoxing (Mark) Ren, Brucek Khailany