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Session
Orals & Spotlights Track 06: Dynamical Sys/Density/Sparsity
Animesh Garg · Rose Yu
Tue Dec 08 06:00 AM -- 09:00 AM (PST) @ None
Author Information
Animesh Garg (University of Toronto, Nvidia, Vector Institute)
I am a CIFAR AI Chair Assistant Professor of Computer Science at the University of Toronto, a Faculty Member at the Vector Institute, and Sr. Researcher at Nvidia. My current research focuses on machine learning for perception and control in robotics.
Rose Yu (University of California, San Diego)
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2020 : Paper 60: Traffic Forecasting using Vehicle-to-Vehicle Communication and Recurrent Neural Networks »
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2021 : Tutorial: Safe Learning for Decision Making »
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2021 : Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World Trifinger »
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2021 : Learning Discrete Neural Reaction Class to Improve Retrosynthesis Prediction »
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2021 : Reinforcement Learning in Factored Action Spaces using Tensor Decompositions »
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2021 : Panel B: Safe Learning and Decision Making in Uncertain and Unstructured Environments »
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2021 : Reinforcement Learning in Factored Action Spaces using Tensor Decompositions »
Anuj Mahajan · Mikayel Samvelyan · Lei Mao · Viktor Makoviichuk · Animesh Garg · Jean Kossaifi · Shimon Whiteson · Yuke Zhu · Anima Anandkumar -
2021 : Theme B Introduction »
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2021 Workshop: Deployable Decision Making in Embodied Systems (DDM) »
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2021 Workshop: The Symbiosis of Deep Learning and Differential Equations »
Luca Celotti · Kelly Buchanan · Jorge Ortiz · Patrick Kidger · Stefano Massaroli · Michael Poli · Lily Hu · Ermal Rrapaj · Martin Magill · Thorsteinn Jonsson · Animesh Garg · Murtadha Aldeer -
2021 : Safe RL Debate »
Sylvia Herbert · Animesh Garg · Emma Brunskill · Aleksandra Faust · Dylan Hadfield-Menell -
2021 : Physics-Guided AI for Modeling Autonomous Vehicle Dynamics »
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2021 : Safe RL Panel Discussion »
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2021 Poster: Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers »
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2021 Poster: Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions »
Michael Poli · Stefano Massaroli · Luca Scimeca · Sanghyuk Chun · Seong Joon Oh · Atsushi Yamashita · Hajime Asama · Jinkyoo Park · Animesh Garg -
2021 Poster: Dynamic Bottleneck for Robust Self-Supervised Exploration »
Chenjia Bai · Lingxiao Wang · Lei Han · Animesh Garg · Jianye Hao · Peng Liu · Zhaoran Wang -
2020 : Q/A and Discussion for ML Theory Session »
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2020 : Rose Yu »
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2020 : Rose Yu - Physics-Guided AI for Learning Spatiotemporal Dynamics »
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2020 Workshop: Machine Learning for Engineering Modeling, Simulation and Design »
Alex Beatson · Priya Donti · Amira Abdel-Rahman · Stephan Hoyer · Rose Yu · J. Zico Kolter · Ryan Adams -
2020 : Invited Talk 11 Q&A by Rose »
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2020 : Invited Talk 11: Tensor Methods for Efficient and Interpretable Spatiotemporal Learning »
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2020 : Quantifying Uncertainty in Deep Spatiotemporal Forecasting for COVID-19 »
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2020 Poster: Deep Imitation Learning for Bimanual Robotic Manipulation »
Fan Xie · Alexander Chowdhury · M. Clara De Paolis Kaluza · Linfeng Zhao · Lawson Wong · Rose Yu -
2020 Poster: Causal Discovery in Physical Systems from Videos »
Yunzhu Li · Antonio Torralba · Anima Anandkumar · Dieter Fox · Animesh Garg -
2020 Poster: Learning Disentangled Representations of Videos with Missing Data »
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2020 Poster: Curriculum By Smoothing »
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2020 Spotlight: Curriculum By Smoothing »
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2020 Poster: Counterfactual Data Augmentation using Locally Factored Dynamics »
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2019 : Poster Presentations »
Rahul Mehta · Andrew Lampinen · Binghong Chen · Sergio Pascual-Diaz · Jordi Grau-Moya · Aldo Faisal · Jonathan Tompson · Yiren Lu · Khimya Khetarpal · Martin Klissarov · Pierre-Luc Bacon · Doina Precup · Thanard Kurutach · Aviv Tamar · Pieter Abbeel · Jinke He · Maximilian Igl · Shimon Whiteson · Wendelin Boehmer · Raphaël Marinier · Olivier Pietquin · Karol Hausman · Sergey Levine · Chelsea Finn · Tianhe Yu · Lisa Lee · Benjamin Eysenbach · Emilio Parisotto · Eric Xing · Ruslan Salakhutdinov · Hongyu Ren · Anima Anandkumar · Deepak Pathak · Christopher Lu · Trevor Darrell · Alexei Efros · Phillip Isola · Feng Liu · Bo Han · Gang Niu · Masashi Sugiyama · Saurabh Kumar · Janith Petangoda · Johan Ferret · James McClelland · Kara Liu · Animesh Garg · Robert Lange -
2018 : Poster Session »
Sujay Sanghavi · Vatsal Shah · Yanyao Shen · Tianchen Zhao · Yuandong Tian · Tomer Galanti · Mufan Li · Gilad Cohen · Daniel Rothchild · Aristide Baratin · Devansh Arpit · Evangelos Papalexakis · Michael Perlmutter · Ashok Vardhan Makkuva · Pim de Haan · Yingyan Lin · Wanmo Kang · Cheolhyoung Lee · Hao Shen · Sho Yaida · Dan Roberts · Nadav Cohen · Philippe Casgrain · Dejiao Zhang · Tengyu Ma · Avinash Ravichandran · Julian Emilio Salazar · Bo Li · Davis Liang · Christopher Wong · Glen Bigan Mbeng · Animesh Garg -
2018 : Long Range Sequence Generation via Multiresolution Adversarial Training »
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