Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Animashree Anandkumar

Animashree Anandkumar

Department of Computing & Mathematical Sciences, Caltech

Self-Calibrating Neural Radiance Fields

Sep 02, 2021
Yoonwoo Jeong, Seokjun Ahn, Christopher Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park

* Accepted in ICCV21, Project Page: 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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

  Access Paper or Ask Questions

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: 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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: 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Active Learning under Label Shift

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

* 23 pages, 10 figures, RealML @ ICML2020 

  Access Paper or Ask Questions

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

  Access Paper or Ask Questions

Causal Discovery in Physical Systems from Videos

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

* Project page: 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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

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

  Access Paper or Ask Questions

Memory Augmented Recursive Neural Networks

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

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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, 

  Access Paper or Ask Questions

Multi-dimensional Tensor Sketch

Feb 06, 2019
Yang Shi, Animashree Anandkumar

  Access Paper or Ask Questions

Trust Region Policy Optimization of POMDPs

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

  Access Paper or Ask Questions

Question Type Guided Attention in Visual Question Answering

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

  Access Paper or Ask Questions

Reinforcement Learning in Rich-Observation MDPs using Spectral Methods

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

  Access Paper or Ask Questions

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

  Access Paper or Ask Questions