Clik here to view.
DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a...
Andrey Kurenkov, Jingwei Ji, Animesh Garg, Viraj Mehta, JunYoung Gwak, Christopher B. Choy, Silvio Savarese: DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image....
View ArticleClik here to view.
Learning Task-Oriented Grasping for Tool Manipulation from Simulated...
Kuan Fang, Yuke Zhu, Animesh Garg, Andrey Kurenkov, Viraj Mehta, Li Fei-Fei, Silvio Savarese: Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision. CoRR abs/1806.09266...
View ArticleClik here to view.
DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a...
Andrey Kurenkov, Jingwei Ji, Animesh Garg, Viraj Mehta, JunYoung Gwak, Christopher B. Choy, Silvio Savarese: DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image....
View ArticleClik here to view.
Learning Task-Oriented Grasping for Tool Manipulation from Simulated...
Kuan Fang, Yuke Zhu, Animesh Garg, Andrey Kurenkov, Viraj Mehta, Li Fei-Fei, Silvio Savarese: Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision. Robotics: Science...
View ArticleClik here to view.
Representational aspects of depth and conditioning in normalizing flows.
Frederic Koehler, Viraj Mehta, Andrej Risteski: Representational aspects of depth and conditioning in normalizing flows. CoRR abs/2010.01155 (2020)
View ArticleClik here to view.
Neural Dynamical Systems: Balancing Structure and Flexibility in Physical...
Viraj Mehta, Ian Char, Willie Neiswanger, Youngseog Chung, Andrew Oakleigh Nelson, Mark D. Boyer, Egemen Kolemen, Jeff Schneider: Neural Dynamical Systems: Balancing Structure and Flexibility in...
View ArticleClik here to view.
Learning task-oriented grasping for tool manipulation from simulated...
Kuan Fang, Yuke Zhu, Animesh Garg, Andrey Kurenkov, Viraj Mehta, Li Fei-Fei, Silvio Savarese: Learning task-oriented grasping for tool manipulation from simulated self-supervision. Int. J. Robotics...
View ArticleClik here to view.
Variational autoencoders in the presence of low-dimensional data: landscape...
Frederic Koehler, Viraj Mehta, Andrej Risteski, Chenghui Zhou: Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias. CoRR abs/2112.06868 (2021)
View ArticleClik here to view.
An Experimental Design Perspective on Model-Based Reinforcement Learning.
Viraj Mehta, Biswajit Paria, Jeff Schneider, Stefano Ermon, Willie Neiswanger: An Experimental Design Perspective on Model-Based Reinforcement Learning. CoRR abs/2112.05244 (2021)
View ArticleClik here to view.
Representational aspects of depth and conditioning in normalizing flows.
Frederic Koehler, Viraj Mehta, Andrej Risteski: Representational aspects of depth and conditioning in normalizing flows. ICML 2021: 5628-5636
View ArticleClik here to view.
Neural Dynamical Systems: Balancing Structure and Flexibility in Physical...
Viraj Mehta, Ian Char, Willie Neiswanger, Youngseog Chung, Andrew Oakleigh Nelson, Mark D. Boyer, Egemen Kolemen, Jeff G. Schneider: Neural Dynamical Systems: Balancing Structure and Flexibility in...
View ArticleClik here to view.
Near-optimal Policy Identification in Active Reinforcement Learning.
Xiang Li, Viraj Mehta, Johannes Kirschner, Ian Char, Willie Neiswanger, Jeff Schneider, Andreas Krause, Ilija Bogunovic: Near-optimal Policy Identification in Active Reinforcement Learning. CoRR...
View ArticleClik here to view.
Exploration via Planning for Information about the Optimal Trajectory.
Viraj Mehta, Ian Char, Joseph Abbate, Rory Conlin, Mark D. Boyer, Stefano Ermon, Jeff Schneider, Willie Neiswanger: Exploration via Planning for Information about the Optimal Trajectory. CoRR...
View ArticleClik here to view.
BATS: Best Action Trajectory Stitching.
Ian Char, Viraj Mehta, Adam Villaflor, John M. Dolan, Jeff Schneider: BATS: Best Action Trajectory Stitching. CoRR abs/2204.12026 (2022)
View ArticleClik here to view.
Exploration via Planning for Information about the Optimal Trajectory.
Viraj Mehta, Ian Char, Joseph Abbate, Rory Conlin, Mark D. Boyer, Stefano Ermon, Jeff Schneider, Willie Neiswanger: Exploration via Planning for Information about the Optimal Trajectory. NeurIPS 2022
View ArticleClik here to view.
An Experimental Design Perspective on Model-Based Reinforcement Learning.
Viraj Mehta, Biswajit Paria, Jeff Schneider, Stefano Ermon, Willie Neiswanger: An Experimental Design Perspective on Model-Based Reinforcement Learning. ICLR 2022
View ArticleClik here to view.
Variational autoencoders in the presence of low-dimensional data: landscape...
Frederic Koehler, Viraj Mehta, Chenghui Zhou, Andrej Risteski: Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias. ICLR 2022
View ArticleClik here to view.
Sample Efficient Reinforcement Learning from Human Feedback via Active...
Viraj Mehta, Vikramjeet Das, Ojash Neopane, Yijia Dai, Ilija Bogunovic, Jeff G. Schneider, Willie Neiswanger: Sample Efficient Reinforcement Learning from Human Feedback via Active Exploration. CoRR...
View ArticleClik here to view.
Kernelized Offline Contextual Dueling Bandits.
Viraj Mehta, Ojash Neopane, Vikramjeet Das, Sen Lin, Jeff Schneider, Willie Neiswanger: Kernelized Offline Contextual Dueling Bandits. CoRR abs/2307.11288 (2023)
View ArticleClik here to view.
Offline Model-Based Reinforcement Learning for Tokamak Control.
Ian Char, Joseph Abbate, Laszlo Bardoczi, Mark D. Boyer, Youngseog Chung, Rory Conlin, Keith Erickson, Viraj Mehta, Nathan Richner, Egemen Kolemen, Jeff G. Schneider: Offline Model-Based Reinforcement...
View Article
