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Aditya Grover

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BARACK: Partially Supervised Group Robustness With Guarantees

Dec 31, 2021
Nimit Sohoni, Maziar Sanjabi, Nicolas Ballas, Aditya Grover, Shaoliang Nie, Hamed Firooz, Christopher Ré

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BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery

Dec 06, 2021
Chris Cundy, Aditya Grover, Stefano Ermon

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Frame Averaging for Invariant and Equivariant Network Design

Oct 07, 2021
Omri Puny, Matan Atzmon, Heli Ben-Hamu, Edward J. Smith, Ishan Misra, Aditya Grover, Yaron Lipman

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Moser Flow: Divergence-based Generative Modeling on Manifolds

Aug 18, 2021
Noam Rozen, Aditya Grover, Maximilian Nickel, Yaron Lipman

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Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits

Jun 28, 2021
Wenshuo Guo, Kumar Krishna Agrawal, Aditya Grover, Vidya Muthukumar, Ashwin Pananjady

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Decision Transformer: Reinforcement Learning via Sequence Modeling

Jun 24, 2021
Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch

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Rotation Invariant Graph Neural Networks using Spin Convolutions

Jun 17, 2021
Muhammed Shuaibi, Adeesh Kolluru, Abhishek Das, Aditya Grover, Anuroop Sriram, Zachary Ulissi, C. Lawrence Zitnick

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JUMBO: Scalable Multi-task Bayesian Optimization using Offline Data

Jun 02, 2021
Kourosh Hakhamaneshi, Pieter Abbeel, Vladimir Stojanovic, Aditya Grover

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Pretrained Transformers as Universal Computation Engines

Mar 09, 2021
Kevin Lu, Aditya Grover, Pieter Abbeel, Igor Mordatch

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