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Animashree Anandkumar

Department of Computing & Mathematical Sciences, Caltech

Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning


May 31, 2021
Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar

* 38th International Conference on Machine Learning, PMLR 139, 2021 

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Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition


May 18, 2021
Bo Liu, Qiang Liu, Peter Stone, Animesh Garg, Yuke Zhu, Animashree Anandkumar


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Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects


Dec 22, 2020
Xinlei Pan, Animesh Garg, Animashree Anandkumar, Yuke Zhu

* 8 pages, 5 figures, Project website: https://xinleipan.github.io/emergent_morphology/ 

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Fast Uncertainty Quantification for Deep Object Pose Estimation


Nov 16, 2020
Guanya Shi, Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Fabio Ramos, Animashree Anandkumar, Yuke Zhu

* Video and code are available at https://sites.google.com/view/fastuq 

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Multi-task learning for electronic structure to predict and explore molecular potential energy surfaces


Nov 11, 2020
Zhuoran Qiao, Feizhi Ding, Matthew Welborn, Peter J. Bygrave, Daniel G. A. Smith, Animashree Anandkumar, Frederick R. Manby, Thomas F. Miller III

* Accepted for presentation at the Machine Learning for Molecules workshop at NeurIPS 2020 

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Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion


Oct 05, 2020
Xingye Da, Zhaoming Xie, David Hoeller, Byron Boots, Animashree Anandkumar, Yuke Zhu, Buck Babich, Animesh Garg

* supplementary video: https://youtu.be/JJOmFZKpYTo 

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Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning


Oct 02, 2020
Weili Nie, Zhiding Yu, Lei Mao, Ankit B. Patel, Yuke Zhu, Animashree Anandkumar

* 21 pages, NeurIPS 2020 

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Deep learning-based computer vision to recognize and classify suturing gestures in robot-assisted surgery


Aug 26, 2020
Francisco Luongo, Ryan Hakim, Jessica H. Nguyen, Animashree Anandkumar, Andrew J Hung

* 5 figures, 2 tables 

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Active Learning under Label Shift


Jul 16, 2020
Eric Zhao, Anqi Liu, Animashree Anandkumar, Yisong Yue

* 23 pages, 10 figures, RealML @ ICML2020 

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OrbNet: Deep Learning for Quantum Chemistry Using Symmetry-Adapted Atomic-Orbital Features


Jul 15, 2020
Zhuoran Qiao, Matthew Welborn, Animashree Anandkumar, Frederick R. Manby, Thomas F. Miller III


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Causal Discovery in Physical Systems from Videos


Jul 02, 2020
Yunzhu Li, Antonio Torralba, Animashree Anandkumar, Dieter Fox, Animesh Garg

* Project page: https://yunzhuli.github.io/V-CDN/ 

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Convolutional Tensor-Train LSTM for Spatio-temporal Learning


Mar 22, 2020
Jiahao Su, Wonmin Byeon, Furong Huang, Jan Kautz, Animashree Anandkumar

* Jiahao Su and Wonmin Byeon contributed equally to this work. 17 pages, 14 figures 

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Learning Pose Estimation for UAV Autonomous Navigation andLanding Using Visual-Inertial Sensor Data


Dec 10, 2019
Francesca Baldini, Animashree Anandkumar, Richard M. Murray


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Memory Augmented Recursive Neural Networks


Nov 08, 2019
Forough Arabshahi, Zhichu Lu, Sameer Singh, Animashree Anandkumar


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Regularized Learning for Domain Adaptation under Label Shifts


Mar 22, 2019
Kamyar Azizzadenesheli, Anqi Liu, Fanny Yang, Animashree Anandkumar

* @article{azizzadenesheli2018regularized, title={Regularized Learning for Domain Adaptation under Label Shifts}, author={Azizzadenesheli, Kamyar and Liu, Anqi and Yang, Fanny and Anandkumar, Animashree}, year={2019} } 
* International Conference on Learning Representations (ICLR) 2019 

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Neural Lander: Stable Drone Landing Control using Learned Dynamics


Mar 04, 2019
Guanya Shi, Xichen Shi, Michael O'Connell, Rose Yu, Kamyar Azizzadenesheli, Animashree Anandkumar, Yisong Yue, Soon-Jo Chung

* 7 pages, 5 figures, https://youtu.be/FLLsG0S78ik 

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Multi-dimensional Tensor Sketch


Feb 06, 2019
Yang Shi, Animashree Anandkumar


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Trust Region Policy Optimization of POMDPs


Oct 18, 2018
Kamyar Azizzadenesheli, Manish Kumar Bera, Animashree Anandkumar


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Question Type Guided Attention in Visual Question Answering


Jul 18, 2018
Yang Shi, Tommaso Furlanello, Sheng Zha, Animashree Anandkumar


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Reinforcement Learning in Rich-Observation MDPs using Spectral Methods


Jun 19, 2018
Kamyar Azizzadenesheli, Alessandro Lazaric, Animashree Anandkumar


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Sample-Efficient Deep RL with Generative Adversarial Tree Search


Jun 15, 2018
Kamyar Azizzadenesheli, Brandon Yang, Weitang Liu, Emma Brunskill, Zachary C Lipton, Animashree Anandkumar


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Unsupervised Learning of Word-Sequence Representations from Scratch via Convolutional Tensor Decomposition


May 28, 2018
Furong Huang, Animashree Anandkumar

* There was an error in section 3, there is a bug in the experiment section. We would like to take it down 

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Combining Symbolic Expressions and Black-box Function Evaluations in Neural Programs


Apr 26, 2018
Forough Arabshahi, Sameer Singh, Animashree Anandkumar

* Published as a conference paper at the sixth International Conference on Learning Representations (ICLR), 2018 

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