Anima Anandkumar

Karthik Kashinath, Prabhat, Kamyar Azizzadenesheli, 2020, SC20: International Conference for High Performance Computing, Networking, Storage and Analysis.

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

Vincent Y. F. Tan, Anima Anandkumar, Alan S. Willsky, 2011, NIPS.

Opportunistic Spectrum Access with Multiple Users: Learning under Competition

Ao Tang, Anima Anandkumar, Nithin Michael, 2010, 2010 Proceedings IEEE INFOCOM.

Provable Learning of Overcomplete Latent Variable Models: Semi-supervised and Unsupervised Settings pdf

Anima Anandkumar, Rong Ge, Majid Janzamin, 2014, ArXiv.

Combining Symbolic and Function Evaluation Expressions In Neural Programs pdf

Anima Anandkumar, Sameer Singh, Forough Arabshahi, 2018, ArXiv.

Modeling Dynamic Social Interactions via Conditional Latent Tree Models pdf

Anima Anandkumar, Furong Huang, Carter T. Butts, 2014, ArXiv.

Probabilistic FastText for Multi-Sense Word Embeddings

Andrew Gordon Wilson, Anima Anandkumar, Ben Athiwaratkun, 2018, ACL.

Tensor Computing for Internet of Things (Dagstuhl Perspectives Workshop 16152)

Anima Anandkumar, Volker Tresp, Sebnem Rusitschka, 2016, Dagstuhl Reports.

StrassenNets: Deep learning with a multiplication budget

Anima Anandkumar, Michael Tschannen, Aran Khanna, 2017, ICML.

Long-term Forecasting using Tensor-Train RNNs pdf

Yisong Yue, Anima Anandkumar, Rose Yu, 2017, ArXiv.

Tracking in a spaghetti bowl: monitoring transactions using footprints

Anima Anandkumar, Dakshi Agrawal, Chatschik Bisdikian, 2008, SIGMETRICS '08.

Energy Efficient Routing for Statistical Inference of Markov Random Fields

Ananthram Swami, Lang Tong, Anima Anandkumar, 2007, 2007 41st Annual Conference on Information Sciences and Systems.

InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers pdf

Richard G. Baraniuk, Anima Anandkumar, Animesh Garg, 2019, ArXiv.

Analyzing Tensor Power Method Dynamics in Overcomplete Regime

Anima Anandkumar, Rong Ge, Majid Janzamin, 2014, J. Mach. Learn. Res..

Selectively retrofitting monitoring in distributed systems

Ting He, Anima Anandkumar, Dakshi Agrawal, 2009, PERV.

Compression by the signs: distributed learning is a two-way street

Kamyar Azizzadenesheli, Anima Anandkumar, Yu-Xiang Wang, 2018, ICLR.

Detection of Gauss-Markov Random Field on Nearest-Neighbor Graph

Ananthram Swami, Lang Tong, Anima Anandkumar, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Two SVDs Suffice: Spectral decompositions for probabilistic topic modeling and latent Dirichlet allocation pdf

Anima Anandkumar, Sham M. Kakade, Dean P. Foster, 2012, NIPS 2012.

Online tensor methods for learning latent variable models

Anima Anandkumar, Furong Huang, U. N. Niranjan, 2013, J. Mach. Learn. Res..

Trust Region Policy Optimization for POMDPs pdf

Kamyar Azizzadenesheli, Anima Anandkumar, Manish Kumar Bera, 2018, 1810.07900.

Seeing Through Black Boxes : Tracking Transactions through Queues under Monitoring Resource Constraints

Ting He, Anima Anandkumar, Dakshi Agrawal, 2013, Perform. Evaluation.

Homotopy Analysis for Tensor PCA

Hossein Mobahi, Anima Anandkumar, Rong Ge, 2016, COLT.

Minimum Cost Data Aggregation with Localized Processing for Statistical Inference

Ananthram Swami, Lang Tong, Anthony Ephremides, 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

Provable Tensor Methods for Learning Mixtures of Generalized Linear Models

Anima Anandkumar, Majid Janzamin, Hanie Sedghi, 2014, AISTATS.

Stochastic Activation Pruning for Robust Adversarial Defense pdf

Kamyar Azizzadenesheli, Anima Anandkumar, Jean Kossaifi, 2018, ICLR.

signSGD: compressed optimisation for non-convex problems

Kamyar Azizzadenesheli, Anima Anandkumar, Yu-Xiang Wang, 2018, ICML.

Score Function Features for Discriminative Learning pdf

Anima Anandkumar, Majid Janzamin, Hanie Sedghi, 2014, ICLR.

Tensor Contraction & Regression Networks

Anima Anandkumar, Jean Kossaifi, Tommaso Furlanello, 2018 .

Learning Linear Bayesian Networks with Latent Variables

Adel Javanmard, Anima Anandkumar, Sham M. Kakade, 2012, ICML.

Efficient approaches for escaping higher order saddle points in non-convex optimization pdf

Anima Anandkumar, Rong Ge, Anima Anandkumar, 2016, COLT.

Efficient Exploration Through Bayesian Deep Q-Networks

Kamyar Azizzadenesheli, Anima Anandkumar, Emma Brunskill, 2018, 2018 Information Theory and Applications Workshop (ITA).

Fourier Neural Operator for Parametric Partial Differential Equations pdf

Kamyar Azizzadenesheli, Anima Anandkumar, Andrew Stuart, 2020, ICLR.

Learning High-Dimensional Mixtures of Graphical Models pdf

Anima Anandkumar, Sham M. Kakade, Daniel J. Hsu, 2012, ArXiv.

Stability and Identification of Random Asynchronous Linear Time-Invariant Systems pdf

Babak Hassibi, Anima Anandkumar, Sahin Lale, 2020, L4DC.

Error exponents for composite hypothesis testing of Markov forest distributions

Vincent Y. F. Tan, Anima Anandkumar, Alan S. Willsky, 2010, 2010 IEEE International Symposium on Information Theory.

Beyond LDA: A Unified Framework for Learning Latent Normalized Infinitely Divisible Topic Models through Spectral Methods pdf

Anima Anandkumar, Forough Arabshahi, Anima Anandkumar, 2016, ArXiv.

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

Anima Anandkumar, Sameer Singh, Forough Arabshahi, 2018, ICLR.

Triply Robust Off-Policy Evaluation pdf

Yisong Yue, Anima Anandkumar, Anqi Liu, 2019, ArXiv.

Implicit competitive regularization in GANs

Anima Anandkumar, Florian Schäfer, Hongkai Zheng, 2019, ICML.

Tensor decompositions for learning latent variable models pdf

Anima Anandkumar, Matus Telgarsky, Sham M. Kakade, 2012, J. Mach. Learn. Res..

Neural Rendering Model: Joint Generation and Prediction for Semi-Supervised Learning pdf

Michael I. Jordan, Richard G. Baraniuk, Anima Anandkumar, 2018, ArXiv.

Provable Methods for Training Neural Networks with Sparse Connectivity pdf

Anima Anandkumar, Hanie Sedghi, Anima Anandkumar, 2014, ICLR.

Neural Operator: Graph Kernel Network for Partial Differential Equations pdf

Kamyar Azizzadenesheli, Anima Anandkumar, Andrew Stuart, 2020, ICLR 2020.

Energy Scaling Laws for Distributed Inference in Random Networks pdf

Ananthram Swami, Lang Tong, Anima Anandkumar, 2008, ArXiv.

Nonparametric Estimation of Multi-View Latent Variable Models pdf

Le Song, Bo Dai, Anima Anandkumar, 2013, ICML.

Feedback message passing for inference in gaussian graphical models

Venkat Chandrasekaran, Anima Anandkumar, Alan S. Willsky, 2010, ISIT.

Robust Regression for Safe Exploration in Control

Soon-Jo Chung, Yisong Yue, Anima Anandkumar, 2019, L4DC.

OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation

Jure Leskovec, Yuke Zhu, Anima Anandkumar, 2020, UAI.

Guarantees for Multi-Step Stochastic ADMM in High Dimensions pdf

Anima Anandkumar, Edmond A. Jonckheere, Hanie Sedghi, 2014, ArXiv.

Learning Sparsely Used Overcomplete Dictionaries

Prateek Jain, Anima Anandkumar, Praneeth Netrapalli, 2014, COLT.

FEAST at Play: Feature ExtrAction using Score function Tensors

Anima Anandkumar, U. N. Niranjan, Majid Janzamin, 2015, FE@NIPS.

A Spectral Algorithm for Latent Dirichlet Allocation

Anima Anandkumar, Sham M. Kakade, Dean P. Foster, 2012, Algorithmica.

Matrix and Tensor Features for Discriminative Learning

Anima Anandkumar, Majid Janzamin, Hanie Sedghi, 2014 .

A Tensor Spectral Approach to Learning Mixed Membership Community Models pdf

Anima Anandkumar, Sham M. Kakade, Rong Ge, 2013, COLT.

Active Learning of Multiple Source Multiple Destination Topologies

Athina Markopoulou, Anima Anandkumar, Michael G. Rabbat, 2013, IEEE Transactions on Signal Processing.

Unsupervised learning of transcriptional regulatory networks via latent tree graphical models pdf

Anima Anandkumar, Ernest Fraenkel, Furong Huang, 2016, ArXiv.

Learning Latent Tree Graphical Models

Vincent Y. F. Tan, Anima Anandkumar, Alan S. Willsky, 2010, J. Mach. Learn. Res..

Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition

Anima Anandkumar, Edmond A. Jonckheere, Hanie Sedghi, 2014, NIPS.

Non-intrusive transaction monitoring using system logs

Anima Anandkumar, Bikram Sengupta, Chatschik Bisdikian, 2008, NOMS 2008 - 2008 IEEE Network Operations and Management Symposium.

Exact Recovery of Sparsely Used Overcomplete Dictionaries pdf

Anima Anandkumar, Praneeth Netrapalli, Alekh Agarwal, 2013, ArXiv.

Angular Visual Hardness

Anima Anandkumar, Anshumali Shrivastava, Beidi Chen, 2019, ICML.

Learning Overcomplete Latent Variable Models through Tensor Methods

Anima Anandkumar, Rong Ge, Majid Janzamin, 2014, COLT.

Homotopy Method for Tensor Principal Component Analysis pdf

Hossein Mobahi, Anima Anandkumar, Rong Ge, 2016, ArXiv.

Optimal Node Density for Detection in Energy-Constrained Random Networks

Ananthram Swami, Lang Tong, Anima Anandkumar, 2008, IEEE Transactions on Signal Processing.

Multi Sense Embeddings from Topic Models pdf

Ramesh Nallapati, Anima Anandkumar, Sravan Babu Bodapati, 2019, ICNLSP.

High-dimensional Gaussian graphical model selection: walk summability and local separation criterion

Vincent Y. F. Tan, Anima Anandkumar, Alan S. Willsky, 2011, J. Mach. Learn. Res..

Robust noncooperative rate-maximization game for MIMO Gaussian interference channels under bounded channel uncertainty

Anima Anandkumar, Sangarapillai Lambotharan, Jonathon A. Chambers, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Convolutional Dictionary Learning through Tensor Factorization

Anima Anandkumar, Furong Huang, Anima Anandkumar, 2015, FE@NIPS.

Index-based sampling policies for tracking dynamic networks under sampling constraints

Anima Anandkumar, Dakshi Agrawal, Ting He, 2011, 2011 Proceedings IEEE INFOCOM.

Robust rate-maximization game under bounded channel uncertainty

Anima Anandkumar, Sangarapillai Lambotharan, Jonathon A. Chambers, 2010, ICASSP.

Dynamic Social Media Monitoring for Fast-Evolving Online Discussions

Anima Anandkumar, Anqi Liu, Nicholas Adams-Cohen, 2021, KDD.

Stable Online Control of Linear Time-Varying Systems

Adam Wierman, Anima Anandkumar, Sahin Lale, 2021, L4DC.

SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers pdf

Anima Anandkumar, Ping Luo, Enze Xie, 2021, NeurIPS.

Tensor Methods in Computer Vision and Deep Learning

Stefanos Zafeiriou, Anima Anandkumar, Jean Kossaifi, 2021, Proceedings of the IEEE.

UNiTE: Unitary N-body Tensor Equivariant Network with Applications to Quantum Chemistry pdf

Anima Anandkumar, Frederick R. Manby, Thomas F. Miller, 2021, ArXiv.

Unsupervised Controllable Generation with Self-Training

Anima Anandkumar, Jean Kossaifi, Zhiding Yu, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update pdf

Anima Anandkumar, Brucek Khailany, Ming-Yu Liu, 2021, ArXiv.

ADVM'21: 1st International Workshop on Adversarial Learning for Multimedia

Dawn Song, Dacheng Tao, Anima Anandkumar, 2021, ACM Multimedia.

Contrastive Syn-to-Real Generalization pdf

Anima Anandkumar, Zhangyang Wang, Shalini De Mello, 2021, ICLR.

Towards Reducing Labeling Cost in Deep Object Detection pdf

Anima Anandkumar, Ismail Elezi, Laura Leal-Taixe, 2021, ArXiv.

Controllable and Compositional Generation with Latent-Space Energy-Based Models pdf

Anima Anandkumar, Arash Vahdat, Weili Nie, 2021, NeurIPS.

Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems pdf

Babak Hassibi, Kamyar Azizzadenesheli, Anima Anandkumar, 2021, L4DC.

Panoptic SegFormer pdf

Anima Anandkumar, Ping Luo, Enze Xie, 2021, ArXiv.

Physics-Informed Neural Operator for Learning Partial Differential Equations pdf

Kamyar Azizzadenesheli, Anima Anandkumar, Nikola Kovachki, 2021, ArXiv.

DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision pdf

Yuke Zhu, Anima Anandkumar, Zhiding Yu, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement Learning pdf

Anima Anandkumar, Sahin Lale, Ugo Rosolia, 2021, ArXiv.

Polymatrix Competitive Gradient Descent pdf

Anima Anandkumar, Alistair Letcher, Yuanyuan Shi, 2021, ArXiv.

Long-Short Transformer: Efficient Transformers for Language and Vision pdf

Anima Anandkumar, Tom Goldstein, Chen Zhu, 2021, NeurIPS.

Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases pdf

Anima Anandkumar, Mohammad Shoeybi, Bryan Catanzaro, 2021, ArXiv.

Deep Bayesian Quadrature Policy Optimization

Kamyar Azizzadenesheli, Yisong Yue, Anima Anandkumar, 2021, AAAI.

Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection

Sanja Fidler, Anima Anandkumar, Zhiding Yu, 2021, ICML.

Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds pdf

Anima Anandkumar, J. Z. Kolter, Yuanyuan Shi, 2021, NeurIPS.

Stability Constrained Reinforcement Learning for Real-Time Voltage Control pdf

Adam Wierman, Anima Anandkumar, Guannan Qu, 2021, 2022 American Control Conference (ACC).

SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies

Li Fei-Fei, Yuke Zhu, Anima Anandkumar, 2021, ICML.

U-FNO - an enhanced Fourier neural operator based-deep learning model for multiphase flow pdf

Kamyar Azizzadenesheli, Anima Anandkumar, Sally M. Benson, 2021, Advances in Water Resources.

Fourier Neural Operator for Parametric Partial Differential Equations pdf

Kamyar Azizzadenesheli, Anima Anandkumar, Kaushik Bhattacharya, 2021, ICLR.

Auditing AI models for Verified Deployment under Semantic Specifications pdf

Anima Anandkumar, De-An Huang, Homanga Bharadhwaj, 2021, ArXiv.

Markov Neural Operators for Learning Chaotic Systems pdf

Kamyar Azizzadenesheli, Anima Anandkumar, Kaushik Bhattacharya, 2021, ArXiv.

Competitive Mirror Descent pdf

Houman Owhadi, Anima Anandkumar, Florian Schafer, 2020, ArXiv.

Convergence rate of sign stochastic gradient descent for non-convex functions

Kamyar Azizzadenesheli, Anima Anandkumar, Yu-Xiang Wang, 2018 .

Supplementary Material for the AISTATS 2016 Paper: Provable Tensor Methods for Learning Mixtures of Generalized Linear Models

Anima Anandkumar, Hanie Sedghi Majid Janzamin, 2016 .

Implicit competitive regularization in GANs pdf

Anima Anandkumar, Hongkai Zheng, Florian Schäfer, 2020, ICML.

The Potential Dangers of Artificial Intelligence for Radiology and Radiologists

Anima Anandkumar, Elliot K. Fishman, Anima Anandkumar, 2020, Journal of the American College of Radiology.

Regularized Learning for Domain Adaptation under Label Shifts pdf

Kamyar Azizzadenesheli, Anima Anandkumar, Anqi Liu, 2019, ICLR.

Turbulence forecasting via Neural ODE.

Michael Chertkov, Andreas Dengel, Anima Anandkumar, 2019, 1911.05180.

Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems pdf

Babak Hassibi, Kamyar Azizzadenesheli, Anima Anandkumar, 2020, NeurIPS.