More from the Same Authors

• 2020 : Paper 60: Traffic Forecasting using Vehicle-to-Vehicle Communication and Recurrent Neural Networks »
  Rose Yu
• 2021 : Tutorial: Safe Learning for Decision Making »
  Angela Schoellig · SiQi Zhou · Lukas Brunke · Animesh Garg · Melissa Greeff · Somil Bansal
• 2021 : Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World Trifinger »
  Arthur Allshire · Mayank Mittal · Varun Lodaya · Viktor Makoviychuk · Denys Makoviichuk · Felix Widmaier · Manuel Wuethrich · Stefan Bauer · Ankur Handa · Animesh Garg
• 2021 : Learning Discrete Neural Reaction Class to Improve Retrosynthesis Prediction »
  Théophile Gaudin · Animesh Garg · Alan Aspuru-Guzik
• 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
• 2022 : A Noether's theorem for gradient flow: Continuous symmetries of the architecture and conserved quantities of gradient flow »
  Bo Zhao · Iordan Ganev · Robin Walters · Rose Yu · Nima Dehmamy
• 2022 : ProgPrompt: Generating Situated Robot Task Plans using Large Language Models »
  Ishika Singh · Valts Blukis · Arsalan Mousavian · Ankit Goyal · Danfei Xu · Jonathan Tremblay · Dieter Fox · Jesse Thomason · Animesh Garg
• 2022 : Charting Flat Minima Using the Conserved Quantities of Gradient Flow »
  Bo Zhao · Iordan Ganev · Robin Walters · Rose Yu · Nima Dehmamy
• 2022 : Rethinking Neural Relational Inference for Granger Causal Discovery »
  Stefanos Bennett · Rose Yu
• 2022 : Learning Successor Feature Representations to Train Robust Policies for Multi-task Learning »
  Melissa Mozifian · Dieter Fox · David Meger · Fabio Ramos · Animesh Garg
• 2023 Poster: DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting »
  Salva Rühling Cachay · Bo Zhao · Hailey James · Rose Yu
• 2023 Poster: Automatic Integration for Spatiotemporal Neural Point Processes »
  Zihao Zhou · Rose Yu
• 2022 : Debate: Robotics for Good »
  Karol Hausman · Katherine Driggs-Campbell · Luca Carlone · Sarah Dean · Matthew Johnson-Roberson · Animesh Garg
• 2022 : Rose Yu: "Physics-Guided Deep Learning for Climate Science" »
  Rose Yu
• 2022 : Keynote Talk 2 »
  Rose Yu
• 2022 : Panel: Uncertainty-Aware Machine Learning for Robotics (Q&A 1) »
  Georgia Chalvatzaki · Stefanie Tellex · Animesh Garg
• 2022 Workshop: The Symbiosis of Deep Learning and Differential Equations II »
  Michael Poli · Winnie Xu · Estefany Kelly Buchanan · Maryam Hosseini · Luca Celotti · Martin Magill · Ermal Rrapaj · Qiyao Wei · Stefano Massaroli · Patrick Kidger · Archis Joglekar · Animesh Garg · David Duvenaud
• 2022 : Panel Discussion I: Geometric and topological principles for representation learning in ML »
  Irina Higgins · Taco Cohen · Erik Bekkers · Nina Miolane · Rose Yu
• 2022 Poster: Meta-Learning Dynamics Forecasting Using Task Inference »
  Rui Wang · Robin Walters · Rose Yu
• 2022 Poster: Symmetry Teleportation for Accelerated Optimization »
  Bo Zhao · Nima Dehmamy · Robin Walters · Rose Yu
• 2021 : Panel B: Safe Learning and Decision Making in Uncertain and Unstructured Environments »
  Yisong Yue · J. Zico Kolter · Ivan Dario D Jimenez Rodriguez · Dragos Margineantu · Animesh Garg · Melissa Greeff
• 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 »
  Animesh Garg
• 2021 Workshop: Deployable Decision Making in Embodied Systems (DDM) »
  Angela Schoellig · Animesh Garg · Somil Bansal · SiQi Zhou · Melissa Greeff · Lukas Brunke
• 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 »
  Rose Yu · Rose Yu
• 2021 : Safe RL Panel Discussion »
  Animesh Garg · Marek Petrik · Shie Mannor · Claire Tomlin · Ugo Rosolia · Dylan Hadfield-Menell
• 2021 Poster: Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers »
  Mikita Dvornik · Isma Hadji · Konstantinos Derpanis · Animesh Garg · Allan Jepson
• 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 »
  Karthik Kashinath · Mayur Mudigonda · Stephan Mandt · Rose Yu
• 2020 : Rose Yu »
  Rose Yu
• 2020 : Rose Yu - Physics-Guided AI for Learning Spatiotemporal Dynamics »
  Rose Yu
• 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 »
  Rose Yu
• 2020 : Invited Talk 11: Tensor Methods for Efficient and Interpretable Spatiotemporal Learning »
  Rose Yu
• 2020 : Quantifying Uncertainty in Deep Spatiotemporal Forecasting for COVID-19 »
  Yian Ma · Rose Yu
• 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 »
  Armand Comas · Chi Zhang · Zlatan Feric · Octavia Camps · Rose Yu
• 2020 Poster: Curriculum By Smoothing »
  Samarth Sinha · Animesh Garg · Hugo Larochelle
• 2020 Spotlight: Curriculum By Smoothing »
  Samarth Sinha · Animesh Garg · Hugo Larochelle
• 2020 Poster: Counterfactual Data Augmentation using Locally Factored Dynamics »
  Silviu Pitis · Elliot Creager · Animesh Garg
• 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 · Vagelis 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 »
  Rose Yu