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Publications
Our publications provide insight into some of our leading-edge research.
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73 results found
Artificial Intelligence and Machine Learning
Clear all
2022
Artificial Intelligence and Machine Learning
2022
DefGraspSim: Physics-Based Simulation of Grasp Outcomes on 3D Deformable Objects
Isabella Huang,
Yashraj Narang
,
Clemens Eppner
,
Balakumar Sundaralingam
, Miles Macklin, Ruzena Bajcsy,
Tucker Hermans
,
Dieter Fox
DiGamma: Domain-aware Genetic Algorithm for HW-Mapping Co-optimization for DNN Accelerators
Sheng-Chun Kao,
Michael Pellauer
,
Angshuman Parashar
, Tushar Krishna
Generic Lithography Modeling with Dual-band Optics-Inspired Neural Networks
Haoyu Yang
, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay,
Mark Kilgard
, Anima Anandkumar,
Brucek Khailany
, Vivek Singh,
Haoxing (Mark) Ren
Cooperative Task and Motion Planning for Multi-Arm Assembly Systems
Jingkai Chen, Jiaoyang Li, Yijiang Huang,
Caelan Garrett
, Dawei Sun, Chuchu Fan, Andreas Hofmann, Caitlin Mueller, Sven Koenig, Brian Williams
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
Tim Dockhorn,
Arash Vahdat
,
Karsten Kreis
ICLR
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Zhisheng Xiao,
Karsten Kreis
,
Arash Vahdat
ICLR
Marvel: A Data-Centric Approach for Mapping Deep Learning Operators on Spatial Accelerators
Prasanth Chatarasi, Hyoukjun Kwon,
Angshuman Parashar
,
Michael Pellauer
, Tushar Krishna, Vivek Sarkar
Reinforcement Learning for Datacenter Congestion Control
Chen Tessler
, Yuval Shpigelman,
Gal Dalal
, Amit Mendelbaum, Doron Kazakov, Benjamin Fuhrer,
Gal Chechik
,
Shie Mannor
Machine Learning and Algorithms: Let Us Team Up for EDA
Haoxing (Mark) Ren
,
Brucek Khailany
,
Matt Fojtik
,
Yanqing Zhang
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