| Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision K Fang, Y Zhu, A Garg, A Kurenkov, V Mehta, L Fei-Fei, S Savarese The International Journal of Robotics Research, 2018 | 188 | 2018 |
| Deformnet: Free-form deformation network for 3d shape reconstruction from a single image A Kurenkov, J Ji, A Garg, V Mehta, JY Gwak, C Choy, S Savarese 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 858-866, 2018 | 118 | 2018 |
| Neural dynamical systems: Balancing structure and flexibility in physical prediction V Mehta, I Char, W Neiswanger, Y Chung, AO Nelson, MD Boyer, ... 2021 60th IEEE Conference on Decision and Control (CDC), 2021 | 22* | 2021 |
| Representational aspects of depth and conditioning in normalizing flows F Koehler, V Mehta, A Risteski International Conference on Machine Learning, 5628-5636, 2021 | 16 | 2021 |
| DIII-D research advancing the physics basis for optimizing the tokamak approach to fusion energy ME Fenstermacher, J Abbate, S Abe, T Abrams, M Adams, B Adamson, ... Nuclear Fusion 62 (4), 042024, 2022 | 14 | 2022 |
| An Experimental Design Perspective on Model-Based Reinforcement Learning V Mehta, B Paria, J Schneider, S Ermon, W Neiswanger International Conference on Learning Representations, 2022 | 13 | 2022 |
| 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 G Clark, C Darwin, V Mehta, F Jackobs, T Perry, K Hougaard, S Roux Plant signaling & behavior 8 (11), e26093, 2013 | 12 | 2013 |
| Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias F Koehler, V Mehta, A Risteski, C Zhou International Conference on Learning Representations, 2022 | 6 | 2022 |
| BATS: Best Action Trajectory Stitching I Char, V Mehta, A Villaflor, JM Dolan, J Schneider Offline Reinforcement Learning Workshop at Neural Information Processing Systems, 2022 | 4 | 2022 |
| Near-optimal Policy Identification in Active Reinforcement Learning X Li, V Mehta, J Kirschner, I Char, W Neiswanger, J Schneider, A Krause, ... International Conference on Learning Representations, 2023 | 3 | 2023 |
| Offline Model-Based Reinforcement Learning for Tokamak Control I Char, J Abbate, L Bardóczi, M Boyer, Y Chung, R Conlin, K Erickson, ... Learning for Dynamics and Control Conference, 1357-1372, 2023 | 2 | 2023 |
| Exploration via Planning for Information about the Optimal Trajectory V Mehta, I Char, J Abbate, R Conlin, MD Boyer, S Ermon, J Schneider, ... Advances in Neural Information Processing Systems 36, 2022 | 1 | 2022 |
| Sample-efficient Plasma Control by Planning for Optimal Trajectory Information V Mehta, I Char, J Schneider, W Neiswanger, S Ermon, J Abbate, ... ICML Workshop on Adaptive Experimental Design and Active Learning in the …, 2022 | 1 | 2022 |
| Finding Your Way, Courtesy of Machine Learning C Asawa, M Gomez, V Mehta Stanford CS, 2016 | 1 | 2016 |
| Kernelized Offline Contextual Dueling Bandits V Mehta, O Neopane, V Das, S Lin, J Schneider, W Neiswanger arXiv preprint arXiv:2307.11288, 2023 | | 2023 |
| Differential Rotation Control for the DIII-D Tokamak via Model-Based Reinforcement Learning I Char, J Abbate, V Mehta, Y Chung, R Conlin, K Erickson, M Boyer, ... Bulletin of the American Physical Society, 2022 | | 2022 |
| Controlling Plasma Profiles in a Learned Model via Reinforcement Learning V Mehta, J Abbate, R Conlin, E Kolemen, J Schneider APS Division of Plasma Physics Meeting Abstracts 2021, GP11. 037, 2021 | | 2021 |
| Juxtaposing Deep Learning Architectures for Breast Cancer Classification P Raut, V Mehta, A Kadakia Advanced Computing Technologies and Applications: Proceedings of 2nd …, 2020 | | 2020 |
| Towards Grasp Transfer using Shape Deformation A Kurenkov, V Mehta, J Ji, A Garg, S Savarese Conference on Robot Learning (short paper), 2017 | | 2017 |
Jeff SchneiderCarnegie Mellon UniversityVerified email at cs.cmu.edu
