Animesh Garg

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 210

Top Venues

University of California, Berkeley, USA (PHD)

Education History

University of California, Berkeley, USA

PHD

Publications

Kourosh Darvish, Marta Skreta, Yuchi Zhao, Naruki Yoshikawa, Sagnik Som, Miroslav Bogdanovic, Yang Cao, Han Hao, Haoping Xu, Alán Aspuru-Guzik, Animesh Garg, Florian Shkurti
ORGANA: A Robotic Assistant for Automated Chemistry Experimentation and Characterization. CoRR (2024)
Nick Walker, Xuning Yang, Animesh Garg, Maya Cakmak, Dieter Fox, Claudia Pérez-D'Arpino
Fast Explicit-Input Assistance for Teleoperation in Clutter. CoRR (2024)
Marta Skreta, Zihan Zhou, Jia Lin Yuan, Kourosh Darvish, Alán Aspuru-Guzik, Animesh Garg
RePLan: Robotic Replanning with Perception and Language Models. CoRR (2024)
Yi Ru Wang, Yuchi Zhao, Haoping Xu, Sagi Eppel, Alán Aspuru-Guzik, Florian Shkurti, Animesh Garg
MVTrans: Multi-View Perception of Transparent Objects. ICRA (2023)
Chaitanya Devaguptapu, Samarth Sinha, K. J. Joseph, Vineeth N. Balasubramanian, Animesh Garg
Δ-Networks for Efficient Model Patching. CoRR (2023)
Maria Attarian, Muhammad Adil Asif, Jingzhou Liu, Ruthrash Hari, Animesh Garg, Igor Gilitschenski, Jonathan Tompson
Geometry Matching for Multi-Embodiment Grasping. CoRL (2023)
Mayank Mittal, Calvin Yu, Qinxi Yu, Jingzhou Liu, Nikita Rudin, David Hoeller, Jia Lin Yuan, Ritvik Singh, Yunrong Guo, Hammad Mazhar, Ajay Mandlekar, Buck Babich, Gavriel State, Marco Hutter, Animesh Garg
Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments. IEEE Robotics Autom. Lett. 8 (6) (2023)
Nikita Dvornik, Isma Hadji, Ran Zhang, Konstantinos G. Derpanis, Animesh Garg, Richard P. Wildes, Allan D. Jepson
StepFormer: Self-supervised Step Discovery and Localization in Instructional Videos. CoRR (2023)
Ziyi Wu, Nikita Dvornik, Klaus Greff, Thomas Kipf, Animesh Garg
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models. ICLR (2023)
Michael Lutter, Boris Belousov, Shie Mannor, Dieter Fox, Animesh Garg, Jan Peters
Continuous-Time Fitted Value Iteration for Robust Policies. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Naruki Yoshikawa, Marta Skreta, Kourosh Darvish, Sebastian Arellano-Rubach, Zhi Ji, Lasse Bjørn Kristensen, Andrew Zou Li, Yuchi Zhao, Haoping Xu, Artur Kuramshin, Alán Aspuru-Guzik, Florian Shkurti, Animesh Garg
Large language models for chemistry robotics. Auton. Robots 47 (8) (2023)
Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason, Animesh Garg
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models. ICRA (2023)
Eric Heiden, Miles Macklin, Yashraj S. Narang, Dieter Fox, Animesh Garg, Fabio Ramos
DiSECt: a differentiable simulator for parameter inference and control in robotic cutting. Auton. Robots 47 (5) (2023)
Liquan Wang, Nikita Dvornik, Rafael Dubeau, Mayank Mittal, Animesh Garg
Self-Supervised Learning of Action Affordances as Interaction Modes. ICRA (2023)
Liquan Wang, Nikita Dvornik, Rafael Dubeau, Mayank Mittal, Animesh Garg
Self-Supervised Learning of Action Affordances as Interaction Modes. CoRR (2023)
Yi Ru Wang, Yuchi Zhao, Haoping Xu, Sagi Eppel, Alán Aspuru-Guzik, Florian Shkurti, Animesh Garg
MVTrans: Multi-View Perception of Transparent Objects. CoRR (2023)
Shutong Zhang, Yi-Ling Qiao, Guanglei Zhu, Eric Heiden, Dylan Turpin, Jingzhou Liu, Ming C. Lin, Miles Macklin, Animesh Garg
HandyPriors: Physically Consistent Perception of Hand-Object Interactions with Differentiable Priors. CoRR (2023)
Weiyu Liu, Jiayuan Mao, Joy Hsu, Tucker Hermans, Animesh Garg, Jiajun Wu
Composable Part-Based Manipulation. CoRL (2023)
Ziyi Wu, Jingyu Hu, Wuyue Lu, Igor Gilitschenski, Animesh Garg
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models. CoRR (2023)
Mayank Mittal, Calvin Yu, Qinxi Yu, Jingzhou Liu, Nikita Rudin, David Hoeller, Jia Lin Yuan, Pooria Poorsarvi Tehrani, Ritvik Singh, Yunrong Guo, Hammad Mazhar, Ajay Mandlekar, Buck Babich, Gavriel State, Marco Hutter, Animesh Garg
ORBIT: A Unified Simulation Framework for Interactive Robot Learning Environments. CoRR (2023)
Zihan Zhou, Animesh Garg
Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward. CoRR (2023)
Dylan Turpin, Tao Zhong, Shutong Zhang, Guanglei Zhu, Jingzhou Liu, Ritvik Singh, Eric Heiden, Miles Macklin, Stavros Tsogkas, Sven J. Dickinson, Animesh Garg
Fast-Grasp'D: Dexterous Multi-finger Grasp Generation Through Differentiable Simulation. CoRR (2023)
Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason, Animesh Garg
ProgPrompt: program generation for situated robot task planning using large language models. Auton. Robots 47 (8) (2023)
Marta Skreta, Naruki Yoshikawa, Sebastian Arellano-Rubach, Zhi Ji, Lasse Bjørn Kristensen, Kourosh Darvish, Alán Aspuru-Guzik, Florian Shkurti, Animesh Garg
Errors are Useful Prompts: Instruction Guided Task Programming with Verifier-Assisted Iterative Prompting. CoRR (2023)
Lily Goli, Daniel Rebain, Sara Sabour, Animesh Garg, Andrea Tagliasacchi
nerf2nerf: Pairwise Registration of Neural Radiance Fields. ICRA (2023)
Dylan Turpin, Tao Zhong, Shutong Zhang, Guanglei Zhu, Eric Heiden, Miles Macklin, Stavros Tsogkas, Sven J. Dickinson, Animesh Garg
Fast-Grasp'D: Dexterous Multi-finger Grasp Generation Through Differentiable Simulation. ICRA (2023)
Ziyi Wu, Jingyu Hu, Wuyue Lu, Igor Gilitschenski, Animesh Garg
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models. NeurIPS (2023)
Maria Attarian, Muhammad Adil Asif, Jingzhou Liu, Ruthrash Hari, Animesh Garg, Igor Gilitschenski, Jonathan Tompson
Geometry Matching for Multi-Embodiment Grasping. CoRR (2023)
Zihan Zhou, Animesh Garg
Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward. ICLR (2023)
Andrew Melnik, Robin Schiewer, Moritz Lange, Andrei Muresanu, Mozhgan Saeidi, Animesh Garg, Helge J. Ritter
Benchmarks for Physical Reasoning AI. CoRR (2023)
Claas Voelcker, Victor Liao, Animesh Garg, Amir-massoud Farahmand
Value Gradient weighted Model-Based Reinforcement Learning. ICLR (2022)
Zhaoming Xie, Xingye Da, Buck Babich, Animesh Garg, Michiel van de Panne
GLiDE: Generalizable Quadrupedal Locomotion in Diverse Environments with a Centroidal Model. WAFR (2022)
Maria Attarian, Advaya Gupta, Ziyi Zhou, Wei Yu, Igor Gilitschenski, Animesh Garg
See, Plan, Predict: Language-guided Cognitive Planning with Video Prediction. CoRR (2022)
Jiankai Sun, De-An Huang, Bo Lu, Yun-Hui Liu, Bolei Zhou, Animesh Garg
PlaTe: Visually-Grounded Planning With Transformers in Procedural Tasks. IEEE Robotics Autom. Lett. 7 (2) (2022)
Silviu Pitis, Elliot Creager, Ajay Mandlekar, Animesh Garg
MoCoDA: Model-based Counterfactual Data Augmentation. NeurIPS (2022)
Yun-Chun Chen, Adithyavairavan Murali, Balakumar Sundaralingam, Wei Yang, Animesh Garg, Dieter Fox
Neural Motion Fields: Encoding Grasp Trajectories as Implicit Value Functions. CoRR (2022)
Samarth Sinha, Karsten Roth, Anirudh Goyal, Marzyeh Ghassemi, Zeynep Akata, Hugo Larochelle, Animesh Garg
Uniform Priors for Data-Efficient Learning. CVPR Workshops (2022)
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
SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments. CoRR (2022)
Naruki Yoshikawa, Andrew Zou Li, Kourosh Darvish, Yuchi Zhao, Haoping Xu, Alán Aspuru-Guzik, Animesh Garg, Florian Shkurti
An Adaptive Robotics Framework for Chemistry Lab Automation. CoRR (2022)
Riashat Islam, Samarth Sinha, Homanga Bharadhwaj, Samin Yeasar Arnob, Zhuoran Yang, Animesh Garg, Zhaoran Wang, Lihong Li, Doina Precup
Offline Policy Optimization in RL with Variance Regularizaton. CoRR (2022)
Matthew Shunshi Zhang, Murat A. Erdogdu, Animesh Garg
Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings. AAAI (2022)
Silvia Sellán, Yun-Chun Chen, Ziyi Wu, Animesh Garg, Alec Jacobson
Breaking Bad: A Dataset for Geometric Fracture and Reassembly. NeurIPS (2022)
Satya Krishna Gorti, Noël Vouitsis, Junwei Ma, Keyvan Golestan, Maksims Volkovs, Animesh Garg, Guang Wei Yu
X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval. CoRR (2022)
Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhi-Hong Deng, Animesh Garg, Peng Liu, Zhaoran Wang
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning. ICLR (2022)
Lily Goli, Daniel Rebain, Sara Sabour, Animesh Garg, Andrea Tagliasacchi
nerf2nerf: Pairwise Registration of Neural Radiance Fields. CoRR (2022)
Yun-Chun Chen, Haoda Li, Dylan Turpin, Alec Jacobson, Animesh Garg
Neural Shape Mating: Self-Supervised Object Assembly with Adversarial Shape Priors. CVPR (2022)
Matthias Weissenbacher, Samarth Sinha, Animesh Garg, Yoshinobu Kawahara
Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics. ICML (2022)
Claas Voelcker, Victor Liao, Animesh Garg, Amir-massoud Farahmand
Value Gradient weighted Model-Based Reinforcement Learning. CoRR (2022)
Samarth Sinha, Jiaming Song, Animesh Garg, Stefano Ermon
Experience Replay with Likelihood-free Importance Weights. L4DC (2022)
Amir Rasouli, Randy Goebel, Matthew E. Taylor, Iuliia Kotseruba, Soheil Alizadeh, Tianpei Yang, Montgomery Alban, Florian Shkurti, Yuzheng Zhuang, Adam Scibior, Kasra Rezaee, Animesh Garg, David Meger, Jun Luo, Liam Paull, Weinan Zhang, Xinyu Wang, Xi Chen
NeurIPS 2022 Competition: Driving SMARTS. CoRR (2022)
Jie Xu, Viktor Makoviychuk, Yashraj S. Narang, Fabio Ramos, Wojciech Matusik, Animesh Garg, Miles Macklin
Accelerated Policy Learning with Parallel Differentiable Simulation. ICLR (2022)
Dylan P. Losey, Hong Jun Jeon, Mengxi Li, Krishnan Srinivasan, Ajay Mandlekar, Animesh Garg, Jeannette Bohg, Dorsa Sadigh
Learning latent actions to control assistive robots. Auton. Robots 46 (1) (2022)
Silviu Pitis, Elliot Creager, Ajay Mandlekar, Animesh Garg
MoCoDA: Model-based Counterfactual Data Augmentation. CoRR (2022)
Arthur Allshire, Mayank Mittal, Varun Lodaya, Viktor Makoviychuk, Denys Makoviichuk, Felix Widmaier, Manuel Wüthrich, Stefan Bauer, Ankur Handa, Animesh Garg
Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger. IROS (2022)
Dylan Turpin, Liquan Wang, Eric Heiden, Yun-Chun Chen, Miles Macklin, Stavros Tsogkas, Sven J. Dickinson, Animesh Garg
Grasp'D: Differentiable Contact-rich Grasp Synthesis for Multi-fingered Hands. CoRR (2022)
Krishna Murthy Jatavallabhula, Miles Macklin, Dieter Fox, Animesh Garg, Fabio Ramos
Bayesian Object Models for Robotic Interaction with Differentiable Probabilistic Programming. CoRL (2022)
Haoyu Xiong, Haoyuan Fu, Jieyi Zhang, Chen Bao, Qiang Zhang, Yongxi Huang, Wenqiang Xu, Animesh Garg, Cewu Lu
RoboTube: Learning Household Manipulation from Human Videos with Simulated Twin Environments. CoRL (2022)
Wei Yu, Wenxin Chen, Songheng Yin, Steve Easterbrook, Animesh Garg
Modular Action Concept Grounding in Semantic Video Prediction. CVPR (2022)
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
SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments. NeurIPS (2022)
Aysegul Dundar, Kevin J. Shih, Animesh Garg, Robert Pottorf, Andrew Tao, Bryan Catanzaro
Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos. IEEE Trans. Pattern Anal. Mach. Intell. 44 (7) (2022)
Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason, Animesh Garg
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models. CoRR (2022)
Dylan Turpin, Liquan Wang, Eric Heiden, Yun-Chun Chen, Miles Macklin, Stavros Tsogkas, Sven J. Dickinson, Animesh Garg
Grasp'D: Differentiable Contact-Rich Grasp Synthesis for Multi-Fingered Hands. ECCV (6) (2022)
Qizhen Zhang, Christopher Lu, Animesh Garg, Jakob N. Foerster
Centralized Model and Exploration Policy for Multi-Agent RL. AAMAS (2022)
Ziyi Wu, Nikita Dvornik, Klaus Greff, Thomas Kipf, Animesh Garg
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models. CoRR (2022)
Yun-Chun Chen, Haoda Li, Dylan Turpin, Alec Jacobson, Animesh Garg
Neural Shape Mating: Self-Supervised Object Assembly with Adversarial Shape Priors. CoRR (2022)
Silvia Sellán, Yun-Chun Chen, Ziyi Wu, Animesh Garg, Alec Jacobson
Breaking Bad: A Dataset for Geometric Fracture and Reassembly. CoRR (2022)
Jie Xu, Viktor Makoviychuk, Yashraj S. Narang, Fabio T. Ramos, Wojciech Matusik, Animesh Garg, Miles Macklin
Accelerated Policy Learning with Parallel Differentiable Simulation. CoRR (2022)
Eric Heiden, Miles Macklin, Yashraj S. Narang, Dieter Fox, Animesh Garg, Fabio Ramos
DiSECt: A Differentiable Simulator for Parameter Inference and Control in Robotic Cutting. CoRR (2022)
Satya Krishna Gorti, Noël Vouitsis, Junwei Ma, Keyvan Golestan, Maksims Volkovs, Animesh Garg, Guangwei Yu
X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval. CVPR (2022)
Mayank Mittal, David Hoeller, Farbod Farshidian, Marco Hutter, Animesh Garg
Articulated Object Interaction in Unknown Scenes with Whole-Body Mobile Manipulation. IROS (2022)
Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhihong Deng, Animesh Garg, Peng Liu, Zhaoran Wang
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning. CoRR (2022)
Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang
Principled Exploration via Optimistic Bootstrapping and Backward Induction. CoRR (2021)
Eric Heiden, Miles Macklin, Yashraj S. Narang, Dieter Fox, Animesh Garg, Fabio Ramos
DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting. CoRR (2021)
Arthur Allshire, Roberto Martín-Martín, Charles Lin, Shawn Manuel, Silvio Savarese, Animesh Garg
LASER: Learning a Latent Action Space for Efficient Reinforcement Learning. CoRR (2021)
Stefan Bauer, Felix Widmaier, Manuel Wüthrich, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Charles B. Schaff, Takahiro Maeda, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Annika Buchholz, Sebastian Stark, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vaibhav Agrawal, Bernhard Schölkopf
A Robot Cluster for Reproducible Research in Dexterous Manipulation. CoRR (2021)
Matthew Shunshi Zhang, Murat Erdogdu, Animesh Garg
Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings. CoRR (2021)
Bo Liu, Qiang Liu, Peter Stone, Animesh Garg, Yuke Zhu, Animashree Anandkumar
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition. CoRR (2021)
Eric Heiden, Miles Macklin, Yashraj S. Narang, Dieter Fox, Animesh Garg, Fabio Ramos
DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting. Robotics: Science and Systems (2021)
Panteha Naderian, Gabriel Loaiza-Ganem, Harry J. Braviner, Anthony L. Caterini, Jesse C. Cresswell, Tong Li, Animesh Garg
C-Learning: Horizon-Aware Cumulative Accessibility Estimation. ICLR (2021)
Jiankai Sun, De-An Huang, Bo Lu, Yun-Hui Liu, Bolei Zhou, Animesh Garg
PlaTe: Visually-Grounded Planning with Transformers in Procedural Tasks. CoRR (2021)
Homanga Bharadhwaj, De-An Huang, Chaowei Xiao, Anima Anandkumar, Animesh Garg
Auditing AI models for Verified Deployment under Semantic Specifications. CoRR (2021)
Michael Poli, Stefano Massaroli, Luca Scimeca, Sanghyuk Chun, Seong Joon Oh, Atsushi Yamashita, Hajime Asama, Jinkyoo Park, Animesh Garg
Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions. NeurIPS (2021)
Valts Blukis, Chris Paxton, Dieter Fox, Animesh Garg, Yoav Artzi
A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution. CoRR (2021)
Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg
Robust Value Iteration for Continuous Control Tasks. CoRR (2021)
Haoyu Xiong, Quanzhou Li, Yun-Chun Chen, Homanga Bharadhwaj, Samarth Sinha, Animesh Garg
Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos. IROS (2021)
Zhaoming Xie, Xingye Da, Michiel van de Panne, Buck Babich, Animesh Garg
Dynamics Randomization Revisited: A Case Study for Quadrupedal Locomotion. ICRA (2021)
Stefan Bauer, Manuel Wüthrich, Felix Widmaier, Annika Buchholz, Sebastian Stark, Anirudh Goyal, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vincent Berenz, Vaibhav Agrawal, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Takahiro Maeda, Harshit Sikchi, Jilong Wang, Qingfeng Yao, Shuyu Yang, Robert McCarthy, Francisco Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond, Bernhard Schölkopf
Real Robot Challenge: A Robotics Competition in the Cloud. NeurIPS (Competition and Demos) (2021)
Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang
Dynamic Bottleneck for Robust Self-Supervised Exploration. CoRR (2021)
Dylan Turpin, Liquan Wang, Stavros Tsogkas, Sven J. Dickinson, Animesh Garg
GIFT: Generalizable Interaction-aware Functional Tool Affordances without Labels. Robotics: Science and Systems (2021)
Homanga Bharadhwaj, Animesh Garg, Florian Shkurti
LEAF: Latent Exploration Along the Frontier. ICRA (2021)
Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg
Value Iteration in Continuous Actions, States and Time. CoRR (2021)
Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning. ICML (2021)
Matthias Weissenbacher, Samarth Sinha, Animesh Garg, Yoshinobu Kawahara
Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics. CoRR (2021)
Kevin Xie, Homanga Bharadhwaj, Danijar Hafner, Animesh Garg, Florian Shkurti
Latent Skill Planning for Exploration and Transfer. ICLR (2021)
Nikita Dvornik, Isma Hadji, Konstantinos G. Derpanis, Animesh Garg, Allan D. Jepson
Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers. CoRR (2021)
Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti
DIBS: Diversity Inducing Information Bottleneck in Model Ensembles. AAAI (2021)
Haoping Xu, Yi Ru Wang, Sagi Eppel, Alán Aspuru-Guzik, Florian Shkurti, Animesh Garg
Seeing Glass: Joint Point-Cloud and Depth Completion for Transparent Objects. CoRL (2021)
Valts Blukis, Chris Paxton, Dieter Fox, Animesh Garg, Yoav Artzi
A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution. CoRL (2021)
Dylan Turpin, Liquan Wang, Stavros Tsogkas, Sven J. Dickinson, Animesh Garg
GIFT: Generalizable Interaction-aware Functional Tool Affordances without Labels. CoRR (2021)
Homanga Bharadhwaj, Aviral Kumar, Nicholas Rhinehart, Sergey Levine, Florian Shkurti, Animesh Garg
Conservative Safety Critics for Exploration. ICLR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Animesh Garg