Viraj Mehta - RankMe

26 papers A* 7A 1Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Evaluating transparency in AI/ML model characteristics for FDA-reviewed medical devices. npj Digit. Medicine Viraj Mehta, Abhinav Komanduri, Rishabh Singh Bhadouriya, Vilina Mehta, Michael David Johnson, Priyanka Shrestha, Margaret Nikolov, Bhav Jain, Nigam Shah, Kevin Schulman
2024	A*	`conf`	Group Robust Preference Optimization in Reward-free RLHF. NeurIPS Shyam Sundhar Ramesh, Yifan Hu, Iason Chaimalas, Viraj Mehta, Pier Giuseppe Sessa, Haitham Bou-Ammar, Ilija Bogunovic
2024	J	`jnl`	Group Robust Preference Optimization in Reward-free RLHF. CoRR Shyam Sundhar Ramesh, Yifan Hu, Iason Chaimalas, Viraj Mehta, Pier Giuseppe Sessa, Haitham Bou-Ammar, Ilija Bogunovic
2024	A*	`conf`	Position: Opportunities Exist for Machine Learning in Magnetic Fusion Energy. ICML Lucas Spangher, Allen M. Wang, Andrew Maris, Myles Stapelberg, Viraj Mehta, Alex Saperstein, Stephen Lane-Walsh, Akshata Kishore Moharir, Alessandro Pau, Cristina Rea
2024	—	`—`	Sample-Efficient Reinforcement Learning with Applications in Nuclear Fusion Viraj Mehta
2023	J	`jnl`	Kernelized Offline Contextual Dueling Bandits. CoRR Viraj Mehta, Ojash Neopane, Vikramjeet Das, Sen Lin, Jeff Schneider, Willie Neiswanger
2023	A*	`conf`	Near-optimal Policy Identification in Active Reinforcement Learning. ICLR Xiang Li, Viraj Mehta, Johannes Kirschner, Ian Char, Willie Neiswanger, Jeff Schneider, Andreas Krause, Ilija Bogunovic
2023	—	`conf`	Offline Model-Based Reinforcement Learning for Tokamak Control. L4DC Ian Char, Joseph Abbate, Laszlo Bardoczi, Mark D. Boyer, Youngseog Chung, Rory Conlin, Keith Erickson, Viraj Mehta, Nathan Richner, Egemen Kolemen, Jeff G. Schneider
2023	J	`jnl`	Sample Efficient Reinforcement Learning from Human Feedback via Active Exploration. CoRR Viraj Mehta, Vikramjeet Das, Ojash Neopane, Yijia Dai, Ilija Bogunovic, Jeff G. Schneider, Willie Neiswanger
2022	A*	`conf`	An Experimental Design Perspective on Model-Based Reinforcement Learning. ICLR Viraj Mehta, Biswajit Paria, Jeff Schneider, Stefano Ermon, Willie Neiswanger
2022	J	`jnl`	BATS: Best Action Trajectory Stitching. CoRR Ian Char, Viraj Mehta, Adam Villaflor, John M. Dolan, Jeff Schneider
2022	A*	`conf`	Exploration via Planning for Information about the Optimal Trajectory. NeurIPS Viraj Mehta, Ian Char, Joseph Abbate, Rory Conlin, Mark D. Boyer, Stefano Ermon, Jeff Schneider, Willie Neiswanger
2022	J	`jnl`	Exploration via Planning for Information about the Optimal Trajectory. CoRR Viraj Mehta, Ian Char, Joseph Abbate, Rory Conlin, Mark D. Boyer, Stefano Ermon, Jeff Schneider, Willie Neiswanger
2022	J	`jnl`	Near-optimal Policy Identification in Active Reinforcement Learning. CoRR Xiang Li, Viraj Mehta, Johannes Kirschner, Ian Char, Willie Neiswanger, Jeff Schneider, Andreas Krause, Ilija Bogunovic
2022	A*	`conf`	Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias. ICLR Frederic Koehler, Viraj Mehta, Chenghui Zhou, Andrej Risteski
2021	J	`jnl`	An Experimental Design Perspective on Model-Based Reinforcement Learning. CoRR Viraj Mehta, Biswajit Paria, Jeff Schneider, Stefano Ermon, Willie Neiswanger
2021	—	`conf`	Neural Dynamical Systems: Balancing Structure and Flexibility in Physical Prediction. CDC Viraj Mehta, Ian Char, Willie Neiswanger, Youngseog Chung, Andrew Oakleigh Nelson, Mark D. Boyer, Egemen Kolemen, Jeff G. Schneider
2021	A*	`conf`	Representational aspects of depth and conditioning in normalizing flows. ICML Frederic Koehler, Viraj Mehta, Andrej Risteski
2021	J	`jnl`	Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias. CoRR Frederic Koehler, Viraj Mehta, Andrej Risteski, Chenghui Zhou
2020	J	`jnl`	Learning task-oriented grasping for tool manipulation from simulated self-supervision. Int. J. Robotics Res. Kuan Fang, Yuke Zhu, Animesh Garg, Andrey Kurenkov, Viraj Mehta, Li Fei-Fei, Silvio Savarese
2020	J	`jnl`	Neural Dynamical Systems: Balancing Structure and Flexibility in Physical Prediction. CoRR Viraj Mehta, Ian Char, Willie Neiswanger, Youngseog Chung, Andrew Oakleigh Nelson, Mark D. Boyer, Egemen Kolemen, Jeff Schneider
2020	J	`jnl`	Representational aspects of depth and conditioning in normalizing flows. CoRR Frederic Koehler, Viraj Mehta, Andrej Risteski
2018	A	`conf`	DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image. WACV Andrey Kurenkov, Jingwei Ji, Animesh Garg, Viraj Mehta, JunYoung Gwak, Christopher B. Choy, Silvio Savarese
2018	—	`conf`	Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision. Robotics: Science and Systems Kuan Fang, Yuke Zhu, Animesh Garg, Andrey Kurenkov, Viraj Mehta, Li Fei-Fei, Silvio Savarese
2018	J	`jnl`	Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision. CoRR Kuan Fang, Yuke Zhu, Animesh Garg, Andrey Kurenkov, Viraj Mehta, Li Fei-Fei, Silvio Savarese
2017	J	`jnl`	DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image. CoRR Andrey Kurenkov, Jingwei Ji, Animesh Garg, Viraj Mehta, JunYoung Gwak, Christopher B. Choy, Silvio Savarese