Animashree Anandkumar

发表

Higher-Order Count Sketch: Dimensionality Reduction that Retains Efficient Tensor Operations

Yang Shi, Animashree Anandkumar, 2020, 2020 Data Compression Conference (DCC).

Learning Sparsely Used Overcomplete Dictionaries via Alternating Minimization

Prateek Jain, Praneeth Netrapalli, Animashree Anandkumar, 2013, SIAM J. Optim..

Tensor Contractions with Extended BLAS Kernels on CPU and GPU

U. N. Niranjan, Yang Shi, Animashree Anandkumar, 2016, HiPC 2016.

A Clustering Approach to Learning Sparsely Used Overcomplete Dictionaries

Praneeth Netrapalli, Animashree Anandkumar, Alekh Agarwal, 2013, IEEE Transactions on Information Theory.

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

Yuke Zhu, Animesh Garg, Animashree Anandkumar, 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Compositional Generalization with Tree Stack Memory Units.

Sameer Singh, Animashree Anandkumar, Zhichu Lu, 2020 .

Fast Uncertainty Quantification for Deep Object Pose Estimation pdf

Yuke Zhu, Jonathan Tremblay, Animashree Anandkumar, 2020, ArXiv.

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

Richard M. Murray, Animashree Anandkumar, Francesca Baldini, 2020, 2020 American Control Conference (ACC).

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

Frederick R. Manby, Animashree Anandkumar, Thomas F. Miller, 2020, The Journal of chemical physics.

Active learning of multiple source multiple destination topologies

Michael Rabbat, Athina Markopoulou, Animashree Anandkumar, 2013, CISS.

Routing for Statistical Inference in Sensor Networks

Ananthram Swami, Lang Tong, Anthony Ephremides, 2009 .

Memory Augmented Recursive Neural Networks pdf

Sameer Singh, Animashree Anandkumar, Zhichu Lu, 2019, ArXiv.

Tree Stack Memory Units

Sameer Singh, Animashree Anandkumar, Zhichu Lu, 2019 .

Learning Mixed Membership Community Models- A statistical and a Computational Framework

Animashree Anandkumar, 2019 .

Convolutional Tensor-Train LSTM for Long-Term Video Prediction

Jan Kautz, Furong Huang, Animashree Anandkumar, 2019 .

Surprising Negative Results for Generative Adversarial Tree Search

Weitang Liu, Kamyar Azizzadenesheli, Emma Brunskill, 2018, 1806.05780.

Reinforcement Learning in Rich-Observation MDPs using Spectral Methods

Kamyar Azizzadenesheli, Alessandro Lazaric, Animashree Anandkumar, 2016, 1611.03907.

Active Learning under Label Shift pdf

Yisong Yue, Animashree Anandkumar, Anqi Liu, 2020, ArXiv.

Scalable Algorithms For Distributed Statistical Inference

Animashree Anandkumar, Anima Anandkumar, 2009 .

Convolutional Tensor-Train LSTM for Spatio-temporal Learning pdf

Jan Kautz, Furong Huang, Animashree Anandkumar, 2020, NeurIPS.

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

Byron Boots, Yuke Zhu, Xingye Da, 2020, CoRL.

Policy Gradient in Partially Observable Environments: Approximation and Convergence

Kamyar Azizzadenesheli, Yisong Yue, Animashree Anandkumar, 2018 .

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

Yuke Zhu, Peter Stone, Qiang Liu, 2021, ICML.

Fast Uncertainty Quantification for Deep Object Pose Estimation

Yuke Zhu, Jonathan Tremblay, Animashree Anandkumar, 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Reinforcement Learning in Factored Action Spaces using Tensor Decompositions pdf

Shimon Whiteson, Jean Kossaifi, Animashree Anandkumar, 2021, ArXiv.

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

Byron Boots, Yuke Zhu, Xingye Da, 2020, Conference on Robot Learning.

Causal Discovery in Physical Systems from Videos pdf

Dieter Fox, Antonio Torralba, Animesh Garg, 2020, NeurIPS.

Convolutional Tensor-Train LSTM for Spatio-temporal Learning pdf

Jan Kautz, Furong Huang, Animashree Anandkumar, 2020, NeurIPS.

Towards Solving Differential Equations through Neural Programming

Sameer Singh, Animashree Anandkumar, Forough Arabshahi, 2018 .

Discovering Neuronal Cell Types and Their Gene Expression Profiles Using a Spatial Point Process Mixture Model

Christian Borgs, Ernest Fraenkel, Furong Huang, 2017 .

Tracking Dynamic Networks under Sampling Constraints: Supporting Materials

Ting He, Dakshi Agrawal, Animashree Anandkumar, 2010 .

Efficiency of rate-maximization game under bounded channel uncertainty

Sangarapillai Lambotharan, Animashree Anandkumar, Jonathon Chambers, 2010, 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers.