Animashree Anandkumar

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 106

Top Venues

Publications

Zelun Luo, Yuliang Zou, Yijin Yang, Zane Durante, De-An Huang, Zhiding Yu, Chaowei Xiao, Li Fei-Fei, Animashree Anandkumar
Differentially Private Video Activity Recognition. WACV (2024)
Rafal Kocielnik, Zhuofang Li, Claudia Kann, Deshawn Sambrano, Jacob Morrier, Mitchell Linegar, Carly Taylor, Min Kim, Nabiha Naqvie, Feri Soltani, Arman Dehpanah, Grant Cahill, Animashree Anandkumar, R. Michael Alvarez
Challenges in moderating disruptive player behavior in online competitive action games. Frontiers Comput. Sci. 6 (2024)
Zhuoran Qiao, Weili Nie, Arash Vahdat, Thomas F. Miller III, Animashree Anandkumar
State-specific protein-ligand complex structure prediction with a multiscale deep generative model. Nat. Mac. Intell. 6 (2) (2024)
Shengchao Liu, Weili Nie, Chengpeng Wang, Jiarui Lu, Zhuoran Qiao, Ling Liu, Jian Tang, Chaowei Xiao, Animashree Anandkumar
Multi-modal molecule structure-text model for text-based retrieval and editing. Nat. Mac. Intell. 5 (12) (2023)
Zhouhao Yang, Yihong Guo, Pan Xu, Anqi Liu, Animashree Anandkumar
Distributionally Robust Policy Gradient for Offline Contextual Bandits. AISTATS (2023)
Sungduk Yu, Walter M. Hannah, Liran Peng, Jerry Lin, Mohamed Aziz Bhouri, Ritwik Gupta, Björn Lütjens, Justus C. Will, Gunnar Behrens, Julius Busecke, Nora Loose, Charles Stern, Tom Beucler, Bryce E. Harrop, Benjamin R. Hillman, Andrea M. Jenney, Savannah L. Ferretti, Nana Liu, Animashree Anandkumar, Noah D. Brenowitz, Veronika Eyring, Nicholas Geneva, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Akshay Subramaniam, Carl Vondrick, Rose Yu, Laure Zanna, Tian Zheng, Ryan Abernathey, Fiaz Ahmed, David C. Bader, Pierre Baldi, Elizabeth A. Barnes, Christopher S. Bretherton, Peter M. Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket R. Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas J. Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David A. Randall, Sara Shamekh, Mark Taylor, Nathan M. Urban, Janni Yuval, Guang Zhang, Mike Pritchard
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation. NeurIPS (2023)
Kaiyu Yang, Aidan M. Swope, Alex Gu, Rahul Chalamala, Peiyang Song, Shixing Yu, Saad Godil, Ryan J. Prenger, Animashree Anandkumar
LeanDojo: Theorem Proving with Retrieval-Augmented Language Models. NeurIPS (2023)
Yilun Chen, Zhiding Yu, Yukang Chen, Shiyi Lan, Animashree Anandkumar, Jiaya Jia, José M. Álvarez
FocalFormer3D : Focusing on Hard Instance for 3D Object Detection. CoRR (2023)
Zelun Luo, Yuliang Zou, Yijin Yang, Zane Durante, De-An Huang, Zhiding Yu, Chaowei Xiao, Li Fei-Fei, Animashree Anandkumar
Differentially Private Video Activity Recognition. CoRR (2023)
Dani Kiyasseh, Jasper Laca, Taseen F. Haque, Maxwell X. Otiato, Brian J. Miles, Christian Wagner, Daniel A. Donoho, Quoc-Dien Trinh, Animashree Anandkumar, Andrew J. Hung
Human visual explanations mitigate bias in AI-based assessment of surgeon skills. npj Digit. Medicine 6 (2023)
Shengchao Liu, weitao Du, Yanjing Li, Zhuoxinran Li, Zhiling Zheng, Chenru Duan, Zhi-Ming Ma, Omar Yaghi, Animashree Anandkumar, Christian Borgs, Jennifer T. Chayes, Hongyu Guo, Jian Tang
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials. NeurIPS (2023)
Zongyi Li, Nikola B. Kovachki, Christopher B. Choy, Boyi Li, Jean Kossaifi, Shourya Prakash Otta, Mohammad Amin Nabian, Maximilian Stadler, Christian Hundt, Kamyar Azizzadenesheli, Animashree Anandkumar
Geometry-Informed Neural Operator for Large-Scale 3D PDEs. NeurIPS (2023)
Haoxuan Wang, Zhiding Yu, Yisong Yue, Animashree Anandkumar, Anqi Liu, Junchi Yan
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach. IJCAI (2023)
Thorsten Kurth, Shashank Subramanian, Peter Harrington, Jaideep Pathak, Morteza Mardani, David Hall, Andrea Miele, Karthik Kashinath, Animashree Anandkumar
FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators. CoRR (2022)
Pan Xu, Hongkai Zheng, Eric V. Mazumdar, Kamyar Azizzadenesheli, Animashree Anandkumar
Langevin Monte Carlo for Contextual Bandits. ICML (2022)
Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Animashree Anandkumar, Jiashi Feng, Jose M. Alvarez
Understanding The Robustness in Vision Transformers. ICML (2022)
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Animashree Anandkumar
Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems. AISTATS (2022)
Weili Nie, Brandon Guo, Yujia Huang, Chaowei Xiao, Arash Vahdat, Animashree Anandkumar
Diffusion Models for Adversarial Purification. ICML (2022)
Yoonwoo Jeong, Seungjoo Shin, Junha Lee, Christopher B. Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park
PeRFception: Perception using Radiance Fields. CoRR (2022)
Jaideep Pathak, Shashank Subramanian, Peter Harrington, Sanjeev Raja, Ashesh Chattopadhyay, Morteza Mardani, Thorsten Kurth, David Hall, Zongyi Li, Kamyar Azizzadenesheli, Pedram Hassanzadeh, Karthik Kashinath, Animashree Anandkumar
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators. CoRR (2022)
Dani Kiyasseh, Runzhuo Ma, Taseen F. Haque, Jessica H. Nguyen, Christian Wagner, Animashree Anandkumar, Andrew J. Hung
Quantification of Robotic Surgeries with Vision-Based Deep Learning. CoRR (2022)
Taylan Kargin, Sahin Lale, Kamyar Azizzadenesheli, Animashree Anandkumar, Babak Hassibi
Thompson Sampling Achieves $\tilde{O}(\sqrt{T})$ Regret in Linear Quadratic Control. COLT (2022)
David Hoeller, Nikita Rudin, Christopher B. Choy, Animashree Anandkumar, Marco Hutter
Neural Scene Representation for Locomotion on Structured Terrain. CoRR (2022)
David Hoeller, Nikita Rudin, Christopher B. Choy, Animashree Anandkumar, Marco Hutter
Neural Scene Representation for Locomotion on Structured Terrain. IEEE Robotics Autom. Lett. 7 (4) (2022)
Runzhuo Ma, Ashwin Ramaswamy, Jiashu Xu, Loc Trinh, Dani Kiyasseh, Timothy N. Chu, Elyssa Y. Wong, Ryan S. Lee, Ivan Rodriguez, Gina Demeo, Aditya Desai, Maxwell X. Otiato, Sidney I. Roberts, Jessica H. Nguyen, Jasper Laca, Yan Liu, Katarina Urbanova, Christian Wagner, Animashree Anandkumar, Jim C. Hu, Andrew J. Hung
Surgical gestures as a method to quantify surgical performance and predict patient outcomes. npj Digit. Medicine 5 (2022)
Bo Liu, Qiang Liu, Peter Stone, Animesh Garg, Yuke Zhu, Animashree Anandkumar
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition. CoRR (2021)
Guanya Shi, Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Fabio Ramos, Animashree Anandkumar, Yuke Zhu
Fast Uncertainty Quantification for Deep Object Pose Estimation. ICRA (2021)
Yoonwoo Jeong, Seokjun Ahn, Christopher Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park
Self-Calibrating Neural Radiance Fields. CoRR (2021)
Jing Yu, Clement Gehring, Florian Schäfer, Animashree Anandkumar
Robust Reinforcement Learning: A Constrained Game-theoretic Approach. L4DC (2021)
Yoonwoo Jeong, Seokjun Ahn, Christopher B. Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park
Self-Calibrating Neural Radiance Fields. ICCV (2021)
Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning. ICML (2021)
Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Animashree Anandkumar, Sanja Fidler, Jose M. Alvarez
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection. ICML (2021)
Eric Zhao, Anqi Liu, Animashree Anandkumar, Yisong Yue
Active Learning under Label Shift. AISTATS (2021)
Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning. CoRR (2021)
Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar
Reinforcement Learning in Factored Action Spaces using Tensor Decompositions. CoRR (2021)
Arinbjörn Kolbeinsson, Jean Kossaifi, Yannis Panagakis, Adrian Bulat, Animashree Anandkumar, Ioanna Tzoulaki, Paul M. Matthews
Tensor Dropout for Robust Learning. IEEE J. Sel. Top. Signal Process. 15 (3) (2021)
Linxi Fan, Guanzhi Wang, De-An Huang, Zhiding Yu, Li Fei-Fei, Yuke Zhu, Animashree Anandkumar
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies. ICML (2021)
Xinlei Pan, Animesh Garg, Animashree Anandkumar, Yuke Zhu
Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects. ICRA (2021)
Ravi Tej Akella, Kamyar Azizzadenesheli, Mohammad Ghavamzadeh, Animashree Anandkumar, Yisong Yue
Deep Bayesian Quadrature Policy Optimization. AAAI (2021)
Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Animashree Anandkumar
Semi-Supervised StyleGAN for Disentanglement Learning. ICML (2020)
Hongyu Ren, Yuke Zhu, Jure Leskovec, Animashree Anandkumar, Animesh Garg
OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation. UAI (2020)
Beidi Chen, Weiyang Liu, Zhiding Yu, Jan Kautz, Anshumali Shrivastava, Animesh Garg, Animashree Anandkumar
Angular Visual Hardness. ICML (2020)
Wuyang Chen, Zhiding Yu, Zhangyang Wang, Animashree Anandkumar
Automated Synthetic-to-Real Generalization. ICML (2020)
Xingye Da, Zhaoming Xie, David Hoeller, Byron Boots, Animashree Anandkumar, Yuke Zhu, Buck Babich, Animesh Garg
Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion. CoRR (2020)
Florian Schäfer, Hongkai Zheng, Animashree Anandkumar
Implicit competitive regularization in GANs. ICML (2020)
Jiahao Su, Wonmin Byeon, Furong Huang, Jan Kautz, Animashree Anandkumar
Convolutional Tensor-Train LSTM for Spatio-temporal Learning. CoRR (2020)
Yunzhu Li, Antonio Torralba, Animashree Anandkumar, Dieter Fox, Animesh Garg
Causal Discovery in Physical Systems from Videos. CoRR (2020)
Xinlei Pan, Animesh Garg, Animashree Anandkumar, Yuke Zhu
Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects. CoRR (2020)
Zhuoran Qiao, Feizhi Ding, Matthew Welborn, Peter J. Bygrave, Daniel G. A. Smith, Animashree Anandkumar, Frederick R. Manby, Thomas F. Miller III
Multi-task learning for electronic structure to predict and explore molecular potential energy surfaces. CoRR (2020)
Francesca Baldini, Animashree Anandkumar, Richard M. Murray
Learning Pose Estimation for UAV Autonomous Navigation and Landing Using Visual-Inertial Sensor Data. ACC (2020)
Animashree Anandkumar
Role of HPC in next-generation AI. HiPC (2020)
Weili Nie, Zhiding Yu, Lei Mao, Ankit B. Patel, Yuke Zhu, Animashree Anandkumar
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning. CoRR (2020)
Yang Shi, Animashree Anandkumar
Higher-Order Count Sketch: Dimensionality Reduction that Retains Efficient Tensor Operations. DCC (2020)
Eric Zhao, Anqi Liu, Animashree Anandkumar, Yisong Yue
Active Learning under Label Shift. CoRR (2020)
Zhuoran Qiao, Matthew Welborn, Animashree Anandkumar, Frederick R. Manby, Thomas F. Miller III
OrbNet: Deep Learning for Quantum Chemistry Using Symmetry-Adapted Atomic-Orbital Features. CoRR (2020)
Guanya Shi, Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Fabio Ramos, Animashree Anandkumar, Yuke Zhu
Fast Uncertainty Quantification for Deep Object Pose Estimation. CoRR (2020)
Francisco Luongo, Ryan Hakim, Jessica H. Nguyen, Animashree Anandkumar, Andrew J. Hung
Deep learning-based computer vision to recognize and classify suturing gestures in robot-assisted surgery. CoRR (2020)
Yang Shi, Animashree Anandkumar
Multi-dimensional Tensor Sketch. CoRR (2019)
Kamyar Azizzadenesheli, Anqi Liu, Fanny Yang, Animashree Anandkumar
Regularized Learning for Domain Adaptation under Label Shifts. CoRR (2019)
Milan Cvitkovic, Badal Singh, Animashree Anandkumar
Open Vocabulary Learning on Source Code with a Graph-Structured Cache. ICML (2019)
Forough Arabshahi, Zhichu Lu, Sameer Singh, Animashree Anandkumar
Memory Augmented Recursive Neural Networks. CoRR (2019)
Francesca Baldini, Animashree Anandkumar, Richard M. Murray
Learning Pose Estimation for UAV Autonomous Navigation andLanding Using Visual-Inertial Sensor Data. CoRR (2019)
Kamyar Azizzadenesheli, Anqi Liu, Fanny Yang, Animashree Anandkumar
Regularized Learning for Domain Adaptation under Label Shifts. ICLR (Poster) (2019)
Guanya Shi, Xichen Shi, Michael O'Connell, Rose Yu, Kamyar Azizzadenesheli, Animashree Anandkumar, Yisong Yue, Soon-Jo Chung
Neural Lander: Stable Drone Landing Control Using Learned Dynamics. ICRA (2019)
Yanyao Shen, Hyokun Yun, Zachary C. Lipton, Yakov Kronrod, Animashree Anandkumar
Deep Active Learning for Named Entity Recognition. ICLR (Poster) (2018)
Kamyar Azizzadenesheli, Brandon Yang, Weitang Liu, Emma Brunskill, Zachary C. Lipton, Animashree Anandkumar
Sample-Efficient Deep RL with Generative Adversarial Tree Search. CoRR (2018)
Kamyar Azizzadenesheli, Emma Brunskill, Animashree Anandkumar
Efficient Exploration Through Bayesian Deep Q-Networks. ITA (2018)
Forough Arabshahi, Sameer Singh, Animashree Anandkumar
Combining Symbolic and Function Evaluation Expressions In Neural Programs. CoRR (2018)
Evrim Acar, Animashree Anandkumar, Lenore Mullin, Sebnem Rusitschka, Volker Tresp
Tensor Computing for Internet of Things (Dagstuhl Perspectives Workshop 16152). Dagstuhl Manifestos 7 (1) (2018)
Yang Shi, Tommaso Furlanello, Sheng Zha, Animashree Anandkumar
Question Type Guided Attention in Visual Question Answering. ECCV (4) (2018)
Kamyar Azizzadenesheli, Manish Kumar Bera, Animashree Anandkumar
Trust Region Policy Optimization of POMDPs. CoRR (2018)
Forough Arabshahi, Sameer Singh, Animashree Anandkumar
Combining Symbolic Expressions and Black-box Function Evaluations in Neural Programs. ICLR (Poster) (2018)
Michael Tschannen, Aran Khanna, Animashree Anandkumar
StrassenNets: Deep Learning with a Multiplication Budget. ICML (2018)
Kamyar Azizzadenesheli, Emma Brunskill, Animashree Anandkumar
Efficient Exploration through Bayesian Deep Q-Networks. CoRR (2018)
Guneet S. Dhillon, Kamyar Azizzadenesheli, Zachary C. Lipton, Jeremy Bernstein, Jean Kossaifi, Aran Khanna, Animashree Anandkumar
Stochastic Activation Pruning for Robust Adversarial Defense. ICLR (Poster) (2018)
Jeremy Bernstein, Yu-Xiang Wang, Kamyar Azizzadenesheli, Animashree Anandkumar
SIGNSGD: Compressed Optimisation for Non-Convex Problems. ICML (2018)
Yang Shi, Tommaso Furlanello, Sheng Zha, Animashree Anandkumar
Question Type Guided Attention in Visual Question Answering. CoRR (2018)
Guanya Shi, Xichen Shi, Michael O'Connell, Rose Yu, Kamyar Azizzadenesheli, Animashree Anandkumar, Yisong Yue, Soon-Jo Chung
Neural Lander: Stable Drone Landing Control using Learned Dynamics. CoRR (2018)
Ashish Khetan, Zachary C. Lipton, Animashree Anandkumar
Learning From Noisy Singly-labeled Data. ICLR (Poster) (2018)
Kamyar Azizzadenesheli, Alessandro Lazaric, Animashree Anandkumar
Experimental results : Reinforcement Learning of POMDPs using Spectral Methods. CoRR (2017)
Alekh Agarwal, Animashree Anandkumar, Praneeth Netrapalli
A Clustering Approach to Learning Sparsely Used Overcomplete Dictionaries. IEEE Trans. Inf. Theory 63 (1) (2017)
Yanyao Shen, Hyokun Yun, Zachary C. Lipton, Yakov Kronrod, Animashree Anandkumar
Deep Active Learning for Named Entity Recognition. CoRR (2017)
Animashree Anandkumar, Rong Ge, Majid Janzamin
Analyzing Tensor Power Method Dynamics in Overcomplete Regime. J. Mach. Learn. Res. 18 (2017)
Yanyao Shen, Hyokun Yun, Zachary Chase Lipton, Yakov Kronrod, Animashree Anandkumar
Deep Active Learning for Named Entity Recognition. Rep4NLP@ACL (2017)
Alekh Agarwal, Animashree Anandkumar, Prateek Jain, Praneeth Netrapalli
Learning Sparsely Used Overcomplete Dictionaries via Alternating Minimization. SIAM J. Optim. 26 (4) (2016)
Kamyar Azizzadenesheli, Alessandro Lazaric, Animashree Anandkumar
Reinforcement Learning of Contextual MDPs using Spectral Methods. CoRR (2016)
Kamyar Azizzadenesheli, Alessandro Lazaric, Animashree Anandkumar
Reinforcement Learning of POMDPs using Spectral Methods. COLT (2016)
Animashree Anandkumar, Rong Ge
Efficient approaches for escaping higher order saddle points in non-convex optimization. COLT (2016)
Kamyar Azizzadenesheli, Alessandro Lazaric, Animashree Anandkumar
Open Problem: Approximate Planning of POMDPs in the class of Memoryless Policies. CoRR (2016)
Yining Wang, Animashree Anandkumar
Online and Differentially-Private Tensor Decomposition. CoRR (2016)
Evrim Acar, Animashree Anandkumar, Lenore Mullin, Sebnem Rusitschka, Volker Tresp
Tensor Computing for Internet of Things (Dagstuhl Perspectives Workshop 16152). Dagstuhl Reports 6 (4) (2016)
Kamyar Azizzadenesheli, Alessandro Lazaric, Animashree Anandkumar
Open Problem: Approximate Planning of POMDPs in the class of Memoryless Policies. COLT (2016)
Forough Arabshahi, Animashree Anandkumar
Beyond LDA: A Unified Framework for Learning Latent Normalized Infinitely Divisible Topic Models through Spectral Methods. CoRR (2016)
Kamyar Azizzadenesheli, Alessandro Lazaric, Animashree Anandkumar
Reinforcement Learning of POMDP's using Spectral Methods. CoRR (2016)
Yang Shi, U. N. Niranjan, Animashree Anandkumar, Cris Cecka
Tensor Contractions with Extended BLAS Kernels on CPU and GPU. HiPC (2016)
Anthony Gitter, Furong Huang, Ragupathyraj Valluvan, Ernest Fraenkel, Animashree Anandkumar
Unsupervised learning of transcriptional regulatory networks via latent tree graphical models. CoRR (2016)
Yang Shi, U. N. Niranjan, Animashree Anandkumar, Cris Cecka
Tensor Contractions with Extended BLAS Kernels on CPU and GPU. CoRR (2016)
Furong Huang, U. N. Niranjan, Mohammad Umar Hakeem, Animashree Anandkumar
Online tensor methods for learning latent variable models. J. Mach. Learn. Res. 16 (2015)
Yining Wang, Hsiao-Yu Fish Tung, Alexander J. Smola, Animashree Anandkumar
Fast and Guaranteed Tensor Decomposition via Sketching. CoRR (2015)
Furong Huang, Animashree Anandkumar
Convolutional Dictionary Learning through Tensor Factorization. FE@NIPS (2015)

Animashree Anandkumar.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Animashree Anandkumar