Publications

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

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  • 288 results found

2020

Learning Deformable Tetrahedral Meshes for 3D Reconstruction
Jun Gao, Wenzheng Chen, Tommy Xiang, Clement Fuji Tsang, Alec Jacobson, Morgan McGuire
Convolutional Tensor-Train LSTM for Spatio-Temporal Learning
Jiahao Su, Wonmin Byeon, Jean Kossaifi, Furong Huang, Jan Kautz, Anima Anandkumar
Generative View Synthesis: From Single-View Semantics to Novel-View Images
Tewodros Abtegebrial, Varun Jampani, Orazio Gallo, Didier Stricker
Accelerating Reinforcement Learning through GPU Atari Emulation
Iuri Frosio, Steven Dalton
Training Generative Adversarial Networks with Limited Data
Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, Timo Aila
Variational Amodal Object Completion
Huan Ling, David Acuna, Karsten Kreis, Seung Wook Kim, Sanja Fidler
The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems
Ahmet Inci, Evgeny Bolotin, Yaosheng Fu, Gal Dalal, Shie Mannor, David Nellans, Diana Marculescu
Neural FFTs for Universal Texture Image Synthesis
Morteza Mardani, Guilin Liu, Aysegul Dundar, Shiqiu Liu, Andrew Tao, Bryan Catanzaro
Neural Control Variates
Thomas Müller, Fabrice Rousselle, Alex Keller, Jan Novák
How Software Can "Chip In" to the IC Design Process: A Multidisciplinary Approach May Attract New Talent and Accelerate Innovation
Alicia Klinefelter
GPU-Trident: Efficient Modeling of Error Propagation in GPU Programs
Abdul Rehman Anwer, Guanpeng Li, Karthik Pattabiraman, Michael B. Sullivan, Timothy Tsai, Siva Hari
Contextual Reinforcement Learning of Visuo-tactile Multi-fingered Grasping Policies
Visak Kumar, Tucker Hermans, Dieter Fox, Stan Birchfield, Jonathan Tremblay
RMPflow: A Computational Graph for Automatic Motion Policy Generation
Ching-An Cheng, Mustafa Mukadam, Jan Issac, Stan Birchfield, Dieter Fox, Byron Boots, Nathan Ratliff
RMPflow: A Geometric Framework for Generation of Multi-Task Motion Policies
Ching-An Cheng, Mustafa Mukadam, Jan Issac, Stan Birchfield, Dieter Fox, Byron Boots, Nathan Ratliff
ZEST: Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization
Tzuf Paz-Argaman, Yuval Atzmon, Gal Chechik, Reut Tsarfaty
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles
Zahra Ghodsi, Siva Hari, Iuri Frosio, Timothy Tsai, Alejandro Troccoli, Steve Keckler, Siddharth Garg, Anima Anandkumar
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles
Zahra Ghodsi, Siva Hari, Iuri Frosio, Timothy Tsai, Alejandro Troccoli, Steve Keckler, Siddharth Garg, Anima Anandkumar
Modular Primitives for High-Performance Differentiable Rendering
Samuli Laine, Janne Hellsten, Tero Karras, Yeongho Seol, Jaakko Lehtinen, Timo Aila
Glossy Probe Reprojection for Interactive Global Illumination
Simon Rodriguez, Thomas Leimkühler, Siddhant Prakash, Chris Wyman, Peter Shirley, George Drettakis
Opportunities for RTL and Gate Level Simulation using GPUs
Yanqing Zhang, Haoxing (Mark) Ren, Brucek Khailany
MarbleNet: Deep 1D Time-Channel Separable Convolutional Neural Network for Voice Activity Detection
Fei Jia, Somshubra Majumdar, Boris Ginsburg
Collaborative Interaction Models for Optimized Human-Robot Teamwork
Adam Fishman, Chris Paxton, Wei Yang, Nathan Ratliff, Byron Boots, Dieter Fox
Human Grasp Classification for Reactive Human-to-Robot Handovers
Wei Yang, Chris Paxton, Maya Cakmak, Dieter Fox
Improving Noise Robustness of an End-to-End Neural Model for Automatic Speech Recognition
Jagadeesh Balam, Jocelyn Huang, Vitaly Lavrukhin, Slyne Deng, Somshubra Majumdar, Boris Ginsburg
SpeakerNet: 1D Depth-wise Separable Convolutional Network for Text-Independent Speaker Recognition and Verification
Nithin Rao Koluguri, Jason Li, Vitaly Lavrukhin, Boris Ginsburg
CaSA: End-to-end Quantitative Security Analysis of Randomly Mapped Caches
Thomas Bourgeat, Jules Drean, Yuheng Yang, Lillian Tsai, Joel Emer, Mengjia Yan
Locality-Centric Data and Threadblock Management for Massive GPUs
Mahmoud Khairy, Vadim Nikiforov, David Nellans, Timothy G. Rogers
BioMegatron: Larger Biomedical Domain Language Model
Hoo-Chang Shin, Yang Zhang, Evelina Bakhturina, Raul Puri, Mostofa Patwary, Mohammad Shoeybi, Raghav Mani
AV-FUZZER: Finding Safety Violations in Autonomous Driving Systems
Guangpeng Li, Yiran Li, Saurabh Jha, Timothy Tsai, Michael B. Sullivan, Siva Hari, Zbigniew Kalbarczyk, Ravishankar Iyer
Best Paper award
Learning Object Permanence from Video
Aviv Shamsian, Ofri Kleinfeld, Amir Globerson, Gal Chechik
LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation
Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu
A Programmable Approach to Neural Network Compression
Vinu Joseph, Ganesh L. Gopalakrishnan, Saurav Muralidharan, Michael Garland, Animesh Garg