Garg, Animesh

64 publications

CoRL 2025 Adapt3R: Adaptive 3D Scene Representation for Domain Transfer in Imitation Learning Albert Wilcox, Mohamed Ghanem, Masoud Moghani, Pierre Barroso, Benjamin Joffe, Animesh Garg

CoRL 2025 AnyPlace: Learning Generalizable Object Placement for Robot Manipulation Yuchi Zhao, Miroslav Bogdanovic, Chengyuan Luo, Steven Tohme, Kourosh Darvish, Alan Aspuru-Guzik, Florian Shkurti, Animesh Garg

ICLR 2025 EgoSim: Egocentric Exploration in Virtual Worlds with Multi-Modal Conditioning Wei Yu, Songheng Yin, Steve Easterbrook, Animesh Garg

ICLR 2025 PWM: Policy Learning with Multi-Task World Models Ignat Georgiev, Varun Giridhar, Nicklas Hansen, Animesh Garg

CoRL 2025 TopoCut: Learning Multi-Step Cutting with Spectral Rewards and Discrete Diffusion Policies Liquan Wang, Jiangjie Bian, Eric Heiden, Animesh Garg

ICLRW 2024 AdaDemo: Data-Efficient Demonstration Expansion for Generalist Robotic Agent Tongzhou Mu, Yijie Guo, Jie Xu, Ankit Goyal, Hao Su, Dieter Fox, Animesh Garg

ICML 2024 Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation Ignat Georgiev, Krishnan Srinivasan, Jie Xu, Eric Heiden, Animesh Garg

CoRL 2024 Discovering Robotic Interaction Modes with Discrete Representation Learning Liquan Wang, Ankit Goyal, Haoping Xu, Animesh Garg

ICMLW 2024 EgoSim: Egocentric Exploration in Virtual Worlds with Multi-Modal Conditioning Wei Yu, Songheng Yin, Steve Easterbrook, Animesh Garg

NeurIPS 2024 QueST: Self-Supervised Skill Abstractions for Learning Continuous Control Atharva Mete, Haotian Xue, Albert Wilcox, Yongxin Chen, Animesh Garg

CoRL 2024 SPIRE: Synergistic Planning, Imitation, and Reinforcement Learning for Long-Horizon Manipulation Zihan Zhou, Animesh Garg, Dieter Fox, Caelan Reed Garrett, Ajay Mandlekar

TMLR 2023 Benchmarks for Physical Reasoning AI Andrew Melnik, Robin Schiewer, Moritz Lange, Andrei Ioan Muresanu, Mozhgan Saeidi, Animesh Garg, Helge Ritter

CoRL 2023 Composable Part-Based Manipulation Weiyu Liu, Jiayuan Mao, Joy Hsu, Tucker Hermans, Animesh Garg, Jiajun Wu

CoRL 2023 Geometry Matching for Multi-Embodiment Grasping Maria Attarian, Muhammad Adil Asif, Jingzhou Liu, Ruthrash Hari, Animesh Garg, Igor Gilitschenski, Jonathan Tompson

ICLR 2023 Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward Zihan Zhou, Animesh Garg

NeurIPS 2023 SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models Ziyi Wu, Jingyu Hu, Wuyue Lu, Igor Gilitschenski, Animesh Garg

ICLR 2023 SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models Ziyi Wu, Nikita Dvornik, Klaus Greff, Thomas Kipf, Animesh Garg

ICLR 2022 Accelerated Policy Learning with Parallel Differentiable Simulation Jie Xu, Viktor Makoviychuk, Yashraj Narang, Fabio Ramos, Wojciech Matusik, Animesh Garg, Miles Macklin

CoRL 2022 Bayesian Object Models for Robotic Interaction with Differentiable Probabilistic Programming Krishna Murthy Jatavallabhula, Miles Macklin, Dieter Fox, Animesh Garg, Fabio Ramos

NeurIPS 2022 Breaking Bad: A Dataset for Geometric Fracture and Reassembly Silvia Sellán, Yun-Chun Chen, Ziyi Wu, Animesh Garg, Alec Jacobson

AAAI 2022 Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings Matthew Shunshi Zhang, Murat A. Erdogdu, Animesh Garg

L4DC 2022 Experience Replay with Likelihood-Free Importance Weights Samarth Sinha, Jiaming Song, Animesh Garg, Stefano Ermon

ECCV 2022 Grasp’D: Differentiable Contact-Rich Grasp Synthesis for Multi-Fingered Hands Dylan Turpin, Liquan Wang, Eric Heiden, Yun-Chun Chen, Miles Macklin, Stavros Tsogkas, Sven Dickinson, Animesh Garg

ICML 2022 Koopman Q-Learning: Offline Reinforcement Learning via Symmetries of Dynamics Matthias Weissenbacher, Samarth Sinha, Animesh Garg, Kawahara Yoshinobu

NeurIPSW 2022 Learning Successor Feature Representations to Train Robust Policies for Multi-Task Learning Melissa Mozifian, Dieter Fox, David Meger, Fabio Ramos, Animesh Garg

NeurIPS 2022 MoCoDA: Model-Based Counterfactual Data Augmentation Silviu Pitis, Elliot Creager, Ajay Mandlekar, Animesh Garg

ICMLW 2022 MoCoDA: Model-Based Counterfactual Data Augmentation Silviu Pitis, Elliot Creager, Ajay Mandlekar, Animesh Garg

CVPR 2022 Modular Action Concept Grounding in Semantic Video Prediction Wei Yu, Wenxin Chen, Songheng Yin, Steve Easterbrook, Animesh Garg

CVPR 2022 Neural Shape Mating: Self-Supervised Object Assembly with Adversarial Shape Priors Yun-Chun Chen, Haoda Li, Dylan Turpin, Alec Jacobson, Animesh Garg

ICLR 2022 Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhi-Hong Deng, Animesh Garg, Peng Liu, Zhaoran Wang

NeurIPSW 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

CoRL 2022 RoboTube: Learning Household Manipulation from Human Videos with Simulated Twin Environments Haoyu Xiong, Haoyuan Fu, Jieyi Zhang, Chen Bao, Qiang Zhang, Yongxi Huang, Wenqiang Xu, Animesh Garg, Cewu Lu

NeurIPS 2022 SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments Mohan Zhang, Xiaozhou Wang, Benjamin Decardi-Nelson, Bo Song, An Zhang, Jinfeng Liu, Sile Tao, Jiayi Cheng, Xiaohong Liu, Dengdeng Yu, Matthew Poon, Animesh Garg

CVPRW 2022 Uniform Priors for Data-Efficient Learning Samarth Sinha, Karsten Roth, Anirudh Goyal, Marzyeh Ghassemi, Zeynep Akata, Hugo Larochelle, Animesh Garg

ICMLW 2022 VIPer: Iterative Value-Aware Model Learning on the Value Improvement Path Romina Abachi, Claas A Voelcker, Animesh Garg, Amir-massoud Farahmand

ICLR 2022 Value Gradient Weighted Model-Based Reinforcement Learning Claas A Voelcker, Victor Liao, Animesh Garg, Amir-massoud Farahmand

CVPR 2022 X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval Satya Krishna Gorti, Noël Vouitsis, Junwei Ma, Keyvan Golestan, Maksims Volkovs, Animesh Garg, Guangwei Yu

CoRL 2021 A Persistent Spatial Semantic Representation for High-Level Natural Language Instruction Execution Valts Blukis, Chris Paxton, Dieter Fox, Animesh Garg, Yoav Artzi

ICLR 2021 C-Learning: Horizon-Aware Cumulative Accessibility Estimation Panteha Naderian, Gabriel Loaiza-Ganem, Harry J. Braviner, Anthony L. Caterini, Jesse C. Cresswell, Tong Li, Animesh Garg

ICML 2021 Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition Bo Liu, Qiang Liu, Peter Stone, Animesh Garg, Yuke Zhu, Anima Anandkumar

ICLR 2021 Conservative Safety Critics for Exploration Homanga Bharadhwaj, Aviral Kumar, Nicholas Rhinehart, Sergey Levine, Florian Shkurti, Animesh Garg

AAAI 2021 DIBS: Diversity Inducing Information Bottleneck in Model Ensembles Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti

NeurIPS 2021 Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers Mikita Dvornik, Isma Hadji, Konstantinos G. Derpanis, Animesh Garg, Allan D. Jepson

NeurIPS 2021 Dynamic Bottleneck for Robust Self-Supervised Exploration Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang

ICLR 2021 Latent Skill Planning for Exploration and Transfer Kevin Xie, Homanga Bharadhwaj, Danijar Hafner, Animesh Garg, Florian Shkurti

NeurIPS 2021 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

ICML 2021 Principled Exploration via Optimistic Bootstrapping and Backward Induction Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang

CoRL 2021 S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning in Robotics Samarth Sinha, Ajay Mandlekar, Animesh Garg

CoRL 2021 Seeing Glass: Joint Point-Cloud and Depth Completion for Transparent Objects Haoping Xu, Yi Ru Wang, Sagi Eppel, Alan Aspuru-Guzik, Florian Shkurti, Animesh Garg

ICML 2021 Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar

NeurIPSW 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 Wuthrich, Stefan Bauer, Ankur Handa, Animesh Garg

ICML 2021 Value Iteration in Continuous Actions, States and Time Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg

ICML 2020 Angular Visual Hardness Beidi Chen, Weiyang Liu, Zhiding Yu, Jan Kautz, Anshumali Shrivastava, Animesh Garg, Animashree Anandkumar

NeurIPS 2020 Causal Discovery in Physical Systems from Videos Yunzhu Li, Antonio Torralba, Anima Anandkumar, Dieter Fox, Animesh Garg

NeurIPS 2020 Counterfactual Data Augmentation Using Locally Factored Dynamics Silviu Pitis, Elliot Creager, Animesh Garg

NeurIPS 2020 Curriculum by Smoothing Samarth Sinha, Animesh Garg, Hugo Larochelle

CoRL 2020 Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion Xingye Da, Zhaoming Xie, David Hoeller, Byron Boots, Anima Anandkumar, Yuke Zhu, Buck Babich, Animesh Garg

UAI 2020 OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation Hongyu Ren, Yuke Zhu, Jure Leskovec, Animashree Anandkumar, Animesh Garg

ICML 2020 Semi-Supervised StyleGAN for Disentanglement Learning Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit Patel, Animashree Anandkumar

CoRL 2019 AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers Andrey Kurenkov, Ajay Mandlekar, Roberto Martin-Martin, Silvio Savarese, Animesh Garg

ICMLW 2019 Angular Visual Hardness Beidi Chen, Weiyang Liu, Animesh Garg, Zhiding Yu, Anshumali Shrivastava, Anima Anandkumar

CoRL 2019 Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation Kuan Fang, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei

WACV 2018 DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image Andrey Kurenkov, Jingwei Ji, Animesh Garg, Viraj Mehta, JunYoung Gwak, Christopher B. Choy, Silvio Savarese

CoRL 2018 ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning Through Imitation Ajay Mandlekar, Yuke Zhu, Animesh Garg, Jonathan Booher, Max Spero, Albert Tung, Julian Gao, John Emmons, Anchit Gupta, Emre Orbay, Silvio Savarese, Li Fei-Fei