publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2022

  1. An Experimental Design Perspective on Model-Based Reinforcement Learning
    Mehta, Viraj, Paria, Biswajit, Schneider, Jeff, Ermon, Stefano, and Neiswanger, Willie
    In International Conference on Learning Representations 2022
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  2. Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias
    Koehler, Frederic, Mehta, Viraj, Risteski, Andrej, and Zhou, Chenghui
    In International Conference on Learning Representations 2022
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  3. Sample-efficient Plasma Control by Planning for Optimal Trajectory Information
    Mehta, Viraj, Char, Ian, Abbate, Joseph, Conlin, Rory, Boyer, Mark D, Ermon, Stefano, Schneider, Jeff, and Neiswanger, Willie
    In ICML Workshop on Adaptive Experimental Design and Active Learning in the Real World 2022
  4. Exploration via Planning for Information about the Optimal Trajectory
    Mehta, Viraj, Char, Ian, Abbate, Joseph, Conlin, Rory, Boyer, Mark D, Ermon, Stefano, Schneider, Jeff, and Neiswanger, Willie
    In Advances in Neural Information Processing Systems 2022

2021

  1. Neural Dynamical Systems: Balancing Structure and Flexibility in Physical Prediction
    Mehta, Viraj, Char, Ian, Neiswanger, Willie, Chung, Youngseog, Nelson, Andrew Oakleigh, Boyer, Mark D., Kolemen, Egemen, and Schneider, Jeff
    In IEEE Conference on Decision and Control 2021
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  2. Representational aspects of depth and conditioning in normalizing flows
    Koehler, Frederic, Mehta, Viraj, and Risteski, Andrej
    In International Conference on Machine Learning 2021
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  3. Controlling Plasma Profiles in a Learned Model via Reinforcement Learning
    Mehta, Viraj, Abbate, Joseph, Conlin, William, Kolemen, Egemen, and Schneider, Jeff
    In American Physical Society Division of Plasma Physics Annual Meeting Nov 2021
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  4. BATS: Best Action Trajectory Stitching
    Mehta, Viraj, Char, Ian, Villaflor, Adam, and Schneider, Jeff
    In NeurIPS Offline Reinforcement Learning Workshop 2021
  5. Bayesian Active Reinforcement Learning
    Mehta, Viraj, Paria, Biswajit, Schneider, Jeff, Neiswanger, Willie, and Ermon, Stefano
    In NeurIPS Workshop on the Ecological Theory of Reinforcement Learning 2021

2018

  1. DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image
    Kurenkov, Andrey, Ji, Jingwei, Garg, Animesh, Mehta, Viraj, Gwak, JunYoung, Choy, Christopher, and Savarese, Silvio
    In 2018 IEEE Winter Conference on Applications of Computer Vision (WACV) 2018
  2. Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision
    Fang, Kuan, Zhu, Yuke, Garg, Animesh, Kurenkov, Andrey, Mehta, Viraj, Fei-Fei, Li, and Savarese, Silvio
    In Proceedings of Robotics: Science and Systems Jun 2018

2017

  1. Towards Grasp Transfer using Grasp Deformation
    Kurenkov, Andrey, Mehta, Viraj, Ji, Jingwei, Garg, Animesh, and Savarese, Silvio
    1st Conference on Robot Learning (short talk) 2017

2013

  1. Effects of chemical inhibitors and apyrase enzyme further document a role for apyrases and extracellular ATP in the opening and closing of stomates in Arabidopsis
    Clark, Greg, Mehta, Viraj, Darwin, Cameron, Jackobs, Faith, Perry, Tyler, Hougaard, Katia, and Roux, Stanley
    Plant Signaling and Behavior 2013