High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion

by Willsky, Alan S., Tan, Vincent Yan Fu, Anandkumar, Animashree
Published 2013

Reinforcement Learning in Factored Action Spaces using Tensor Decompositions

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

Error exponents for composite hypothesis testing of Markov forest distributions

by Tan, Vincent Yan Fu, Anandkumar, Animashree, Willsky, Alan S.
Published 2012

Variational quantum optimization with multibasis encodings

by Patti, Taylor L., Kossaifi, Jean, Anandkumar, Animashree, Yelin, Susanne F.
Published 2022

PeRFception: Perception using Radiance Fields

by Jeong, Yoonwoo, Shin, Seungjoo, Lee, Junha, Choy, Christopher, Anandkumar, Animashree, Cho, Minsu, Park, Jaesik
Published 2022

Non-convex Robust PCA

by Netrapalli, Praneeth, Niranjan, U N, Sanghavi, Sujay, Anandkumar, Animashree, Jain, Prateek
Published 2014

FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators

by Kurth, Thorsten, Subramanian, Shashank, Harrington, Peter, Pathak, Jaideep, Mardani, Morteza, Hall, David, Miele, Andrea, Kashinath, Karthik, Anandkumar, Animashree
Published 2022

Spectral Methods for Learning Multivariate Latent Tree Structure

by Anandkumar, Animashree, Chaudhuri, Kamalika, Hsu, Daniel, Kakade, Sham M., Song, Le, Zhang, Tong
Published 2011

A large-deviation analysis for the maximum likelihood learning of tree structures

by Tong, Lang, Tan, Vincent Yan Fu, Anandkumar, Animashree, Willsky, Alan S.
Published 2010

High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions

by Anandkumar, Animashree, Tan, Vincent Y. F., Willsky, Alan S.
Published 2013

Neural Scene Representation for Locomotion on Structured Terrain

by Hoeller, David, Rudin, Nikita, Choy, Christopher, Anandkumar, Animashree, Hutter, Marco
Published 2022

Energy-latency tradeoff for in-network function computation in random networks

by Balister, Paul, Bollobas, Bela, Anandkumar, Animashree, Willsky, Alan S.
Published 2012

Feedback Message Passing for Inference in Gaussian Graphical Models

by Liu, Ying, Chandrasekaran, Venkat, Anandkumar, Animashree, Willsky, Alan S.
Published 2012

Consistent and efficient reconstruction of latent tree models

by Choi, Myung Jin, Tan, Vincent Yan Fu, Anandkumar, Animashree, Willsky, Alan S.
Published 2012

Detection error exponent for spatially dependent samples in random networks

by Tong, Lang, Anandkumar, Animashree, Willsky, Alan S.
Published 2010

Quantification of Robotic Surgeries with Vision-Based Deep Learning

by Kiyasseh, Dani, Ma, Runzhuo, Haque, Taseen F., Nguyen, Jessica, Wagner, Christian, Anandkumar, Animashree, Hung, Andrew J.
Published 2022

FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

by Pathak, Jaideep, Subramanian, Shashank, Harrington, Peter, Raja, Sanjeev, Chattopadhyay, Ashesh, Mardani, Morteza, Kurth, Thorsten, Hall, David, Li, Zongyi, Azizzadenesheli, Kamyar, Hassanzadeh, Pedram, Kashinath, Karthik, Anandkumar, Animashree
Published 2022

Self-Calibrating Neural Radiance Fields

by Jeong, Yoonwoo, Ahn, Seokjun, Choy, Christopher, Anandkumar, Animashree, Cho, Minsu, Park, Jaesik
Published 2021

Spectral Methods for Learning Multivariate Latent Tree Structure

by Anandkumar, Animashree, Chaudhuri, Kamalika, Hsu, Daniel, Kakade, Sham M., Song, Le, Zhang, Tong
Published 2011

Online and Differentially-Private Tensor Decomposition

by Wang, Yining, Anandkumar, Animashree
Published 2016