Publications

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

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  • 151 results found

2021

Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction
Gal Dalal, Assaf Hallak, Steven Dalton, Iuri Frosio, Shie Mannor, Gal Chechik
GPS: A Global Publish-Subscribe Model for Multi-GPU Memory Management
Harini Muthukrishnan, Daniel Lustig, David Nellans, Thomas Wenisch
Best Paper nominee
IEEE Micro Top Picks in Computer Architecture (Honorable Mention)
Characterizing and Mitigating Soft Errors in GPU DRAM
Michael B. Sullivan, Nirmal Saxena, Mike O'Connor, Donghyuk Lee, Paul Racunas, Saurabh Hukerikar, Timothy Tsai, Siva Hari, Steve Keckler
IEEE Micro Top Picks in Computer Architecture
Self-Supervised Object Detection via Generative Image Synthesis
Siva Karthik Mustikovela, Shalini De Mello, Aayush Prakash, Umar Iqbal, Sifei Liu, Thu Nguyen-Phuoc, Carsten Rother, Jan Kautz
Self-Supervised Real-to-Sim Scene Generation
Aayush Prakash, Shoubhik Debnath, Jean-Francois Lafleche, Eric Cameracci, Gavriel State, Stan Birchfield, Marc T. Law
Mixer-TTS: non-autoregressive, fast and compact text-to-speech model conditioned on language model embeddings
Oktai Tatanov, Stanislav Beliaev, Boris Ginsburg
Mixer-TTS: non-autoregressive, fast and compact text-to-speech model conditioned on language model embeddings
Oktai Tatanov, Stanislav Beliaev, Boris Ginsburg
Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators
Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarasi, Angshuman Parashar, Po-An Tsai, Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna
Joint Space Control via Deep Reinforcement Learning
Visak Kumar, David Hoeller, Balakumar Sundaralingam, Jonathan Tremblay, Stan Birchfield
Multi-View Fusion for Multi-Level Robotic Scene Understanding
Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
Compressing 1D Time-Channel Separable Convolutions using Sparse Random Ternary Matrices
Goncalo Mordido, Matthijs Van keirsbilck, Alex Keller
A Unified Transformer-based Framework for Duplex Text Normalization
Tuan Manh Lai, Yang Zhang, Evelina Bakhturina , Boris Ginsburg, Heng Ji
EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal in GPUs
Seung Won Min, Vikram Sharma Mailthody, Zaid Qureshi, Jinjun Xiong, Eiman Ebrahimi, Wen-mei Hwu
Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture
Seung Won Min, Kun Wu, Sitao Huang, Mert Hidayetoglu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-mei Hwu
Gaming at Warp Speed: Improving Aiming with Late Warp
Ben Boudaoud, Pyarelal Knowles, Joohwan Kim, Josef Spjut
StrokeStrip: Joint Parameterization and Fitting of Stroke Clusters
Dave Pagurek van Mossel, Chenxi Liu, Nicholas Vining, Mikhail Bessmeltsev, Alla Sheffer
SiP-ML: high-bandwidth optical network interconnects for machine learning training
Mehrdad Khani, Manya Ghobadi, Mohammad Alizadeh, Ziyi Zhu, Madeleine Glick, Keren Bergman, Amin Vahdat, Benjamin Klenk, Eiman Ebrahimi
Differential Barycentric Coordinates
Tomas Akenine-Möller
Refraction Ray Cones for Texture Level of Detail
Jakub Bokskansky, Cyril Crassin, Tomas Akenine-Möller
Visualizing and Communicating Errors in Rendered Images
Pontus Ebelin, Tomas Akenine-Möller, Jim Nilsson
Known unknowns: Learning novel concepts using exploratory reasoning-by-elimination
Harsh Agrawal, Eli Meirom, Yuval Atzmon, Shie Mannor, Gal Chechik
Oral
CarneliNet: Neural Mixture Model for Automatic Speech Recognition
Aleksei Kalinov, Somshubra Majumdar, Jagadeesh Balam, Boris Ginsburg
Enabling Next-generation Holographic Displays with Artificial Intelligence
Gordon Wetzstein, Yifan Peng, Suyeon Choi, Jonghyun Kim
A distributed, decoupled system for losslessly streaming dynamic light probes to thin clients
Michael Stengel, Zander Majercik, Ben Boudaoud, Morgan McGuire
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
Cooperative Profile Guided Optimization
Mark Stephenson, Ram Rangan, Steve Keckler
Rearchitecting Spatiotemporal Resampling for Production
Chris Wyman, Alexey Panteleev
Improving Long-read Consensus Sequencing Accuracy with Deep Learning
Avantika Lal, Michael Brown, Rahul Mohan, Joyjit Daw, James Drake, Johnny Israeli
ReSTIR GI: Path Resampling for Real-Time Path Tracing
Yaobin Ouyang, Shiqiu Liu, Markus Kettunen, Matt Pharr, Jacopo Pantaleoni
NeRF-Tex: Neural Reflectance Field Textures
Hendrik Baatz, Jonathan Granskog, Marios Papas, Fabrice Rousselle, Jan Novák
Neural Scene Graph Rendering
Jonathan Granskog, Till Schnabel, Fabrice Rousselle, Jan Novák
An Unbiased Ray-Marching Transmittance Estimator
Markus Kettunen, Eugene d'Eon, Jacopo Pantaleoni, Jan Novák