Anima Anandkumar

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

Unsupervised Learning of Word-Sequence Representations from Scratch via Convolutional Tensor Decomposition pdf

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

Online and Differentially-Private Tensor Decomposition

Anima Anandkumar, Yining Wang, Anima Anandkumar, 2016, NIPS.

Detection of Gauss–Markov Random Fields With Nearest-Neighbor Dependency

Ananthram Swami, Lang Tong, Anima Anandkumar, 2007, IEEE Transactions on Information Theory.

TOCHASTIC ACTIVATION PRUNING FOR ROBUST ADVERSARIAL DEFENSE

Guneet Singh Dhillon, Jeremy Bernstein, K. Azizzadenesheli, 2018 .

Finding Social Media Trolls: Dynamic Keyword Selection Methods for Rapidly-Evolving Online Debates pdf

Anima Anandkumar, R. Michael Alvarez, Anqi Liu, 2019, ArXiv.

Distributed Estimation Via Random Access

Ananthram Swami, Lang Tong, Anima Anandkumar, 2008, IEEE Transactions on Information Theory.

Cost-performance tradeoff in multi-hop aggregation for statistical inference

Ananthram Swami, Lang Tong, Anthony Ephremides, 2008, 2008 IEEE International Symposium on Information Theory.

Topology discovery of sparse random graphs with few participants

Avinatan Hassidim, Anima Anandkumar, Jonathan A. Kelner, 2011, SIGMETRICS '11.

Tensor Regression Networks pdf

Anima Anandkumar, Jean Kossaifi, Zachary C. Lipton, 2017, J. Mach. Learn. Res..

Tensor vs. Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations pdf

Prateek Jain, Anima Anandkumar, U. N. Niranjan, 2015, AISTATS.

Fast and Guaranteed Tensor Decomposition via Sketching

Alexander J. Smola, Anima Anandkumar, Yining Wang, 2015, NIPS.

Training Input-Output Recurrent Neural Networks through Spectral Methods pdf

Anima Anandkumar, Hanie Sedghi, Anima Anandkumar, 2016, ArXiv.

Experimental results : Reinforcement Learning of POMDPs using Spectral Methods pdf

Kamyar Azizzadenesheli, Anima Anandkumar, Alessandro Lazaric, 2017, ArXiv.

Spectral Learning on Matrices and Tensors

Anima Anandkumar, Jean Kossaifi, Rong Ge, 2019, Found. Trends Mach. Learn..

High-Dimensional Gaussian Graphical Model Selection: Tractable Graph Families pdf

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

Brain-inspired Robust Vision using Convolutional Neural Networks with Feedback

Richard G. Baraniuk, Anima Anandkumar, Pinglei Bao, 2019 .

Feedback message passing for inference in gaussian graphical models

Venkat Chandrasekaran, Anima Anandkumar, Alan S. Willsky, 2010, 2010 IEEE International Symposium on Information Theory.

Exact Recovery of Sparsely Used Overcomplete Dictionaries pdf

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

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

Lang Tong, Vincent Y. F. Tan, Anima Anandkumar, 2009, 2009 IEEE International Symposium on Information Theory.

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.

Learning High-Dimensional Mixtures of Graphical Models pdf

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

Generalization Bounds for Neural Networks through Tensor Factorization pdf

Anima Anandkumar, Majid Janzamin, Hanie Sedghi, 2015, ArXiv.

Multipole Graph Neural Operator for Parametric Partial Differential Equations pdf

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

Tensor Contractions with Extended BLAS Kernels on CPU and GPU

Anima Anandkumar, U. N. Niranjan, Yang Shi, 2016, 2016 IEEE 23rd International Conference on High Performance Computing (HiPC).

Distributed Algorithms for Learning and Cognitive Medium Access with Logarithmic Regret

Ananthram Swami, Ao Tang, Anima Anandkumar, 2010, IEEE Journal on Selected Areas in Communications.

Stochastically Rank-Regularized Tensor Regression Networks pdf

Anima Anandkumar, Jean Kossaifi, Yannis Panagakis, 2019, ArXiv.

Are You Going to the Party: Depends, Who Else is Coming?: [Learning Hidden Group Dynamics via Conditional Latent Tree Models]

Anima Anandkumar, Furong Huang, Sean Fitzhugh, 2014, 2015 IEEE International Conference on Data Mining.

Limit laws for random spatial graphical models

Anima Anandkumar, Alan S. Willsky, Joseph E. Yukich, 2010, 2010 IEEE International Symposium on Information Theory.

Learning Sparsely Used Overcomplete Dictionaries

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

A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures

Lang Tong, Vincent Y. F. Tan, Anima Anandkumar, 2009, IEEE Transactions 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.

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

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

Homotopy Analysis for Tensor PCA

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

Modeling Dynamic Social Interactions via Conditional Latent Tree Models pdf

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

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

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

Tensor Decompositions for Learning Latent Variable Models Report Title

Daniel J. Hsu, S. Kakade, Anima Anandkumar, 2013 .

Nonlinear Quantum Optimization Algorithms via Efficient Ising Model Encodings

Anima Anandkumar, Jean Kossaifi, S. Yelin, 2021 .

Variational Quantum Optimization with Multi-Basis Encodings

Anima Anandkumar, Jean Kossaifi, S. Yelin, 2021, Physical Review Research.

Modeling the Mobile Application Development Lifecycle

Anima Anandkumar, T. Vithani, 2022 .

The Latent-Dependent Deep Rendering Model

Michael I. Jordan, Ankit B. Patel, Richard Baraniuk, 2018 .

Regularized Learning for Domain Adaptation under Label Shifts pdf

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

Understanding The Robustness in Vision Transformers

Anima Anandkumar, J. Álvarez, Zhiding Yu, 2022, ICML.

A systematic review of virtual reality for the assessment of technical skills in neurosurgery.

Anima Anandkumar, A. Hung, G. Kugener, 2021, Neurosurgical focus.

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.

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).

Energy Scaling Laws for Distributed Inference in Random Networks pdf

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

Neural-Fly enables rapid learning for agile flight in strong winds

K. Azizzadenesheli, Anima Anandkumar, Guanya Shi, 2022, Science Robotics.

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

K. Azizzadenesheli, Anima Anandkumar, S. Benson, 2021, Advances in Water Resources.

Multi-task learning for electronic structure to predict and explore molecular potential energy surfaces pdf

Anima Anandkumar, Frederick R. Manby, Thomas F. Miller, 2020, ArXiv.

Panoptic SegFormer pdf

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

Tensor Methods in Computer Vision and Deep Learning

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

Matrix and Tensor Features for Discriminative Learning

Anima Anandkumar, Majid Janzamin, Hanie Sedghi, 2014 .

Guarantees for Multi-Step Stochastic ADMM in High Dimensions pdf

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

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

Volker Tresp, Anima Anandkumar, E. Acar, 2016, Dagstuhl Manifestos.

Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems

K. Azizzadenesheli, Anima Anandkumar, Sahin Lale, 2022, AISTATS.

Competitive Policy Optimization Supplementary material

Yisong Yue, K. Azizzadenesheli, Anima Anandkumar, 2021 .

Tumour Immunomodulation: Mucins in Resistance to Initiation and Maturation of Immune Response Against Tumours

Anima Anandkumar, H. Devaraj, 2013, Scandinavian journal of immunology.

KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Dynamical Systems

K. Azizzadenesheli, Anima Anandkumar, A. Wierman, 2022, 2206.01704.

Diffusion Models for Adversarial Purification

Anima Anandkumar, Chaowei Xiao, Yujia Huang, 2022, ICML.

Thompson Sampling Achieves $\tilde{O}(\sqrt{T})$ Regret in Linear Quadratic Control

K. Azizzadenesheli, Anima Anandkumar, Sahin Lale, 2022, COLT.

Langevin Monte Carlo for Contextual Bandits

Eric V. Mazumdar, K. Azizzadenesheli, Anima Anandkumar, 2022, ICML.

Thompson Sampling Achieves Õ(√T) Regret in Linear Quadratic Control

B. Hassibi, K. Azizzadenesheli, Anima Anandkumar, 2022, ArXiv.

Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits

Anima Anandkumar, Pan Xu, X. Xiao, 2022, NeurIPS.

Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems

K. Azizzadenesheli, Anima Anandkumar, Sahin Lale, 2020, AISTATS.

Fourier Neural Operator with Learned Deformations for PDEs on General Geometries

Daniel Z. Huang, Anima Anandkumar, Zong-Yi Li, 2022, J. Mach. Learn. Res..

Quantum Semidefinite Programming with the Hadamard Test and Approximate Amplitude Constraints

Anima Anandkumar, Jean Kossaifi, S. Yelin, 2022, 2206.14999.

Retrieval-based Controllable Molecule Generation

Richard Baraniuk, Anima Anandkumar, Chaowei Xiao, 2022, International Conference on Learning Representations.

Learning Dissipative Dynamics in Chaotic Systems

Nikola B. Kovachki, K. Azizzadenesheli, Anima Anandkumar, 2021, 2106.06898.

Model Learning Predictive Control in Nonlinear Dynamical Systems

B. Hassibi, K. Azizzadenesheli, Anima Anandkumar, 2021, 2021 60th IEEE Conference on Decision and Control (CDC).

A Bayesian Perspective of Convolutional Neural Networks through a Deconvolutional Generative Model

Michael I. Jordan, Ankit B. Patel, Richard Baraniuk, 2018, 1811.02657.

Turbulence forecasting via Neural ODE.

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

A data-driven approach to modeling turbulent decay at non-asymptotic Reynolds numbers

Anima Anandkumar, D. Schmidt, M. Chertkov, 2019 .

Dynamic-Backbone Protein-Ligand Structure Prediction with Multiscale Generative Diffusion Models

Anima Anandkumar, Weili Nie, Zhuoran Qiao, 2022, ArXiv.

#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol

John D. McCalpin, Rommie E. Amaro, David J. Hardy, 2022, The international journal of high performance computing applications.

AdvDO: Realistic Adversarial Attacks for Trajectory Prediction

Anima Anandkumar, Danfei Xu, M. Pavone, 2022, ECCV.

Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models

M. Shoeybi, M. Patwary, Bryan Catanzaro, 2022, NeurIPS.

Generative Adversarial Neural Operators

K. Azizzadenesheli, Anima Anandkumar, Z. Ross, 2022, Trans. Mach. Learn. Res..

Augmenting Deep Classifiers with Polynomial Neural Networks

Grigorios G. Chrysos, Anima Anandkumar, Jean Kossaifi, 2021, ECCV.

GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics

Rick L. Stevens, James J. Davis, Logan T. Ward, 2022, bioRxiv.

Accelerating Carbon Capture and Storage Modeling using Fourier Neural Operators

K. Azizzadenesheli, Anima Anandkumar, S. Benson, 2022, ArXiv.

DensePure: Understanding Diffusion Models towards Adversarial Robustness

D. Song, Anima Anandkumar, Bo Li, 2022, ArXiv.

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

Anima Anandkumar, K. Kashinath, Jaideep Pathak, 2022, PASC.

Large Scale Mask Optimization Via Convolutional Fourier Neural Operator and Litho-Guided Self Training

Anima Anandkumar, K. Sastry, Zong-Yi Li, 2022, ArXiv.

Capturing fine-grained details for video-based automation of suturing skills assessment.

Idris O. Sunmola, Anima Anandkumar, De-An Huang, 2022, International journal of computer assisted radiology and surgery.

Intelligent resolution: Integrating Cryo-EM with AI-driven multi-resolution simulations to observe the severe acute respiratory syndrome coronavirus-2 replication-transcription machinery in action

John D. McCalpin, David J. Hardy, Ian T. Foster, 2022, Int. J. High Perform. Comput. Appl..

Incremental Fourier Neural Operator

Anima Anandkumar, Jiawei Zhao, Zong-Yi Li, 2022, ArXiv.

Fast Sampling of Diffusion Models via Operator Learning

K. Azizzadenesheli, Anima Anandkumar, Weili Nie, 2022, ArXiv.

Fourier Continuation for Exact Derivative Computation in Physics-Informed Neural Operators

Daniel V. Leibovici, Anima Anandkumar, T. Hou, 2022, ArXiv.

Physics-Informed Neural Operator for Learning Partial Differential Equations

Nikola B. Kovachki, K. Azizzadenesheli, Anima Anandkumar, 2021, ArXiv.

Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing

Anima Anandkumar, Shengchao Liu, Chaowei Xiao, 2022, Nat. Mac. Intell..

Context Generation Improves Open Domain Question Answering

M. Shoeybi, M. Patwary, Bryan Catanzaro, 2022, ArXiv.

Fourier Neural Operator for Parametric Partial Differential Equations

Nikola B. Kovachki, K. Azizzadenesheli, Anima Anandkumar, 2020, ICLR.

Machine Learning Accelerated PDE Backstepping Observers

M. Krstić, Anima Anandkumar, Huan Yu, 2022, 2022 IEEE 61st Conference on Decision and Control (CDC).

An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design

Anima Anandkumar, K. Sastry, Zong-Yi Li, 2022, ArXiv.

Retrieval-based Controllable Molecule Generation

Richard Baraniuk, Anima Anandkumar, Chaowei Xiao, 2022, ArXiv.

Towards Neural Variational Monte Carlo That Scales Linearly with System Size

Anima Anandkumar, Or Sharir, G. Chan, 2022, ArXiv.

Informing geometric deep learning with electronic interactions to accelerate quantum chemistry

Anders S. Christensen, Anima Anandkumar, F. Manby, 2021, Proceedings of the National Academy of Sciences of the United States of America.

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

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

Learning Latent Tree Graphical Models

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

Polymatrix Competitive Gradient Descent pdf

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

Competitive Policy Optimization pdf

Alexander Liniger, Manish Prajapat, Kamyar Azizzadenesheli, 2020, UAI.

Reinforcement Learning of POMDPs using Spectral Methods

Kamyar Azizzadenesheli, Anima Anandkumar, Alessandro Lazaric, 2016, COLT.

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

K. Azizzadenesheli, Anima Anandkumar, K. Kashinath, 2022, ArXiv.

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

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

A Tensor Spectral Approach to Learning Mixed Membership Community Models pdf

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

Unsupervised Controllable Generation with Self-Training

Grigorios G. Chrysos, Anima Anandkumar, Jean Kossaifi, 2020, 2021 International Joint Conference on Neural Networks (IJCNN).

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

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

Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank-1 Updates pdf

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

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

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

Active Learning with Partial Feedback pdf

Anima Anandkumar, Peiyun Hu, Deva Ramanan, 2018, ICLR.

Deep Active Learning for Named Entity Recognition pdf

Anima Anandkumar, Yakov Kronrod, Zachary C. Lipton, 2017, Rep4NLP@ACL.

Topology discovery of sparse random graphs with few participants pdf

Avinatan Hassidim, Anima Anandkumar, Jonathan A. Kelner, 2011, SIGMETRICS '11.

Dynamic Social Media Monitoring for Fast-Evolving Online Discussions

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

Long-term Forecasting using Tensor-Train RNNs pdf

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

Nonparametric Estimation of Multi-View Latent Variable Models pdf

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

A learning-based multiscale method and its application to inelastic impact problems

Nikola B. Kovachki, K. Azizzadenesheli, Anima Anandkumar, 2021, 2102.07256.

Multipole Graph Neural Operator for Parametric Partial Differential Equations

Nikola B. Kovachki, K. Azizzadenesheli, Anima Anandkumar, 2020, NeurIPS.

Convolutional Dictionary Learning through Tensor Factorization

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

Expert Surgeons and Deep Learning Models Can Predict the Outcome of Surgical Hemorrhage from One Minute of Video

Anima Anandkumar, V. Papyan, G. Kugener, 2022, medRxiv.

In Silico-Based High-Throughput Screen for Discovery of Novel Combinations for Tuberculosis Treatment

Anima Anandkumar, S. Narayanan, V. Ramachandran, 2015, Antimicrobial Agents and Chemotherapy.

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

Thomas F. Miller, Anders S. Christensen, Anima Anandkumar, 2021, ArXiv.

Controllable Story Generation with External Knowledge Using Large-Scale Language Models pdf

Anima Anandkumar, Peng Xu, Pascale Fung, 2020, EMNLP.

Self-Calibrating Neural Radiance Fields pdf

Minsu Cho, Christopher Choy, Jaesik Park, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

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

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

Learning Causal State Representations of Partially Observable Environments pdf

Joelle Pineau, Kamyar Azizzadenesheli, Anima Anandkumar, 2019, ArXiv.

Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning

Shimon Whiteson, Yuke Zhu, Jean Kossaifi, 2021, ICML.

Adaptive Control and Regret Minimization in Linear Quadratic Gaussian (LQG) Setting

B. Hassibi, K. Azizzadenesheli, Anima Anandkumar, 2020, 2021 American Control Conference (ACC).

Explore More and Improve Regret in Linear Quadratic Regulators pdf

Kamyar Azizzadenesheli, Anima Anandkumar, Sahin Lale, 2020, ArXiv.

Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems pdf

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

Regret Minimization in Partially Observable Linear Quadratic Control

B. Hassibi, K. Azizzadenesheli, Anima Anandkumar, 2020, ArXiv.

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

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

Intelligent Resolution: Integrating Cryo-EM with AI-driven Multi-resolution Simulations to Observe the SARS-CoV-2 Replication-Transcription Machinery in Action

John D. McCalpin, Rick L. Stevens, David J. Hardy, 2021, bioRxiv.

Fast Sampling of Diffusion Models via Operator Learning

K. Azizzadenesheli, Anima Anandkumar, Weili Nie, 2022, ArXiv.

Angular Visual Hardness

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

Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study

Lawrence C. McAfee, Boxin Wang, Wei Ping, 2023, ArXiv.

Question Type Guided Attention in Visual Question Answering pdf

Anima Anandkumar, Yang Shi, Sheng Zha, 2018, ECCV.

Contrastive Syn-to-Real Generalization pdf

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

Automated Synthetic-to-Real Generalization

Anima Anandkumar, Zhangyang Wang, Zhiding Yu, 2020, ICML.

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

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

Physics-Informed Neural Operator for Learning Partial Differential Equations

Nikola B. Kovachki, K. Azizzadenesheli, Anima Anandkumar, 2021, ArXiv.

Markov Neural Operators for Learning Chaotic Systems pdf

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

Incremental Spectral Learning in Fourier Neural Operator

Anima Anandkumar, Jiawei Zhao, Zong-Yi Li, 2022, 2211.15188.

Incremental Fourier Neural Operator

Anima Anandkumar, Jiawei Zhao, Zong-Yi Li, 2022, ArXiv.

Generic lithography modeling with dual-band optics-inspired neural networks

Anima Anandkumar, K. Sastry, M. Kilgard, 2022, DAC.

OrbNet Denali: A machine learning potential for biological and organic chemistry with semi-empirical cost and DFT accuracy.

Thomas F. Miller, Anders S. Christensen, Daniel G. A. Smith, 2021, The Journal of chemical physics.

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

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

Retrieval-based Controllable Molecule Generation

Richard Baraniuk, Anima Anandkumar, Chaowei Xiao, 2022, ICLR.

Panoptic SegFormer

Anima Anandkumar, Ping Luo, J. Álvarez, 2021 .

Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds pdf

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

Score Function Features for Discriminative Learning pdf

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

Score Function Features for Discriminative Learning: Matrix and Tensor Framework pdf

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

Online tensor methods for learning latent variable models

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

Triply Robust Off-Policy Evaluation pdf

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

Stable Online Control of Linear Time-Varying Systems

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

Fourier Neural Operator for Plasma Modelling

Anima Anandkumar, Zong-Yi Li, Mast Team, 2023, 2302.06542.

Score-based Diffusion Models in Function Space

Jae Hyun Lim, Vikram S. Voleti, Nikola B. Kovachki, 2023, ArXiv.

signSGD with Majority Vote is Communication Efficient and Fault Tolerant

Kamyar Azizzadenesheli, Anima Anandkumar, Jiawei Zhao, 2018, ICLR.

TensorLy-Quantum: Quantum Machine Learning with Tensor Methods

Anima Anandkumar, Jean Kossaifi, S. Yelin, 2021, 2112.10239.

Out-of-Distribution Detection Using Neural Rendering Generative Models pdf

Richard G. Baraniuk, Anima Anandkumar, Yujia Huang, 2019, ArXiv.

Deep learning-based computer vision to recognize and classify suturing gestures in robot-assisted surgery

Anima Anandkumar, Francisco Luongo, Ryan Hakim, 2020, Surgery.

HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression

Anima Anandkumar, Jean Kossaifi, Ben Keller, 2022, ArXiv.

Probabilistic FastText for Multi-Sense Word Embeddings

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

I2SB: Image-to-Image Schrödinger Bridge

E. Theodorou, Anima Anandkumar, De-An Huang, 2023, ArXiv.

Robust Trajectory Prediction against Adversarial Attacks

Anima Anandkumar, Danfei Xu, M. Pavone, 2022, CoRL.

Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators

Bryan Catanzaro, Anima Anandkumar, John Guibas, 2022, ICLR.

Open Vocabulary Learning on Source Code with a Graph-Structured Cache pdf

Anima Anandkumar, Milan Cvitkovic, Badal Singh, 2018, ICML.

Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles

Zahra Ghodsi, Siddharth Garg, Iuri Frosio, 2021, 2021 IEEE Intelligent Vehicles Symposium (IV).

Robust Regression for Safe Exploration in Control

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

Neural Lander: Stable Drone Landing Control Using Learned Dynamics

Soon-Jo Chung, Kamyar Azizzadenesheli, Yisong Yue, 2018, 2019 International Conference on Robotics and Automation (ICRA).

Tensor Contraction Layers for Parsimonious Deep Nets

Anima Anandkumar, Jean Kossaifi, Tommaso Furlanello, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Improving Adversarial Robustness in 3D Point Cloud Classiﬁcation via Self-Supervisions

Anima Anandkumar, C. Choy, Zhiding Yu, 2021 .

Competitive Mirror Descent pdf

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

State-specific protein–ligand complex structure prediction with a multiscale deep generative model

Anima Anandkumar, Weili Nie, Zhuoran Qiao, 2022, Nature Machine Intelligence.

Deep Bayesian Quadrature Policy Optimization pdf

Kamyar Azizzadenesheli, Yisong Yue, Anima Anandkumar, 2020, AAAI.

Learning From Noisy Singly-labeled Data pdf

Anima Anandkumar, Ashish Khetan, Zachary C. Lipton, 2017, ICLR.

LNS-Madam: Low-Precision Training in Logarithmic Number System Using Multiplicative Weight Update

Anima Anandkumar, B. Dally, Rangharajan Venkatesan, 2021, IEEE Transactions on Computers.

Learning compositional functions via multiplicative weight updates

Yisong Yue, Anima Anandkumar, M. Meister, 2020, NeurIPS.

Distributionally Robust Learning for Uncertainty Calibration under Domain Shift

Anima Anandkumar, Junchi Yan, Anqi Liu, 2020, 2010.05784.

Deep Distributionally Robust Learning for Calibrated Uncertainties under Domain Shift

Anima Anandkumar, Junchi Yan, Anqi Liu, 2021 .

Detection error exponent for spatially dependent samples in random networks

Lang Tong, Anima Anandkumar, Alan S. Willsky, 2009, 2009 IEEE International Symposium on Information Theory.

Energy scaling laws for distributed inference in random fusion networks

Ananthram Swami, Lang Tong, Anima Anandkumar, 2008, IEEE Journal on Selected Areas in Communications.

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

Béla Bollobás, Anima Anandkumar, Alan S. Willsky, 2011, 2011 Proceedings IEEE INFOCOM.

Provable Tensor Methods for Learning Mixtures of Generalized Linear Models

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

Provable Tensor Methods for Learning Mixtures of Classifiers pdf

Anima Anandkumar, Hanie Sedghi, Anima Anandkumar, 2014, ArXiv.

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

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

Regret Bound of Adaptive Control in Linear Quadratic Gaussian (LQG) Systems pdf

Kamyar Azizzadenesheli, Anima Anandkumar, Sahin Lale, 2020, ArXiv.

Neural Networks with Recurrent Generative Feedback

Doris Y. Tsao, Anima Anandkumar, James Gornet, 2020, NeurIPS.

Neural Operator: Learning Maps Between Function Spaces With Applications to PDEs

Nikola B. Kovachki, K. Azizzadenesheli, Anima Anandkumar, 2023, J. Mach. Learn. Res..

ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators

Mohamed Aziz Bhouri, Mark A. Taylor, Sanket R. Jantre, 2023, ArXiv.

Forecasting subcritical cylinder wakes with Fourier Neural Operators

Anima Anandkumar, M. Gharib, Sahin Lale, 2023, ArXiv.

#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol

John D. McCalpin, Rommie E. Amaro, David J. Hardy, 2022, Int. J. High Perform. Comput. Appl..

OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation

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

Disentangling Observed Causal Effects from Latent Confounders using Method of Moments pdf

Hao Liu, Yisong Yue, Anima Anandkumar, 2021, ArXiv.

Quantum Goemans-Williamson Algorithm with the Hadamard Test and Approximate Amplitude Constraints

Anima Anandkumar, Jean Kossaifi, S. Yelin, 2022, Quantum.

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

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

Optimal Node Density for Detection in Energy-Constrained Random Networks

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

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

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

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.

Distributionally Robust Learning for Unsupervised Domain Adaptation pdf

Yisong Yue, Anima Anandkumar, Haoxuan Wang, 2020, ArXiv.

Long-term Forecasting using Higher Order Tensor RNNs

Yisong Yue, Anima Anandkumar, Rose Yu, 2017 .

LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Aidan M. Swope, Anima Anandkumar, R. Prenger, 2023, ArXiv.

Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo

Doina Precup, K. Azizzadenesheli, Anima Anandkumar, 2023, ArXiv.

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.

Semi-Supervised StyleGAN for Disentanglement Learning

Ankit B. Patel, Anima Anandkumar, Animesh Garg, 2020, ICML.

Speeding up Fourier Neural Operators via Mixed Precision

K. Azizzadenesheli, Anima Anandkumar, Gennady Pekhimenko, 2023, ArXiv.

Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere

Anima Anandkumar, K. Kashinath, Maximilian Baust, 2023, ICML.

Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials

Anima Anandkumar, Shengchao Liu, C. Borgs, 2023, NeurIPS.

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

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

Competitive Gradient Descent

Florian Schäfer, Anima Anandkumar, Anima Anandkumar, 2019, NeurIPS.

Deep Active Learning for Named Entity Recognition

Zachary Chase Lipton, Anima Anandkumar, Hyokun Yun, 2017, Rep4NLP@ACL.

Stability Constrained Reinforcement Learning for Real-Time Voltage Control pdf

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

Implicit competitive regularization in GANs

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

Physics-Informed Neural Operator for Learning Partial Differential Equations

Nikola B. Kovachki, K. Azizzadenesheli, Anima Anandkumar, 2021, ACM / IMS Journal of Data Science.

Opportunistic Spectrum Access with Multiple Users: Learning under Competition

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

Energy Scaling Laws for Distributed Inference in Random Networks

A. Swami, J. Yukich, Anima Anandkumar, 2008, ArXiv.

Fast Training of Diffusion Models with Masked Transformers

Anima Anandkumar, Weili Nie, Arash Vahdat, 2023, ArXiv.

Fast Sampling of Diffusion Models via Operator Learning

K. Azizzadenesheli, Anima Anandkumar, Weili Nie, 2022, ICML.

Scientific discovery in the age of artificial intelligence

Connor W. Coley, Pushmeet Kohli, J. Leskovec, 2023, Nature.

AutoBiasTest: Controllable Sentence Generation for Automated and Open-Ended Social Bias Testing in Language Models

Anima Anandkumar, Shrimai Prabhumoye, R. Alvarez, 2023, arXiv.org.

Summary based structures with improved sublinear recovery for compressed sensing

Babak Hassibi, Anima Anandkumar, Juhwan Yoo, 2011, 2011 IEEE International Symposium on Information Theory Proceedings.

I2SB: Image-to-Image Schrödinger Bridge

Evangelos A. Theodorou, E. Theodorou, Anima Anandkumar, 2023, ICML.

Robust Rate Maximization Game Under Bounded Channel Uncertainty

Anima Anandkumar, Sangarapillai Lambotharan, Jonathon A. Chambers, 2010, IEEE Transactions on Vehicular Technology.

Tipping Point Forecasting in Non-Stationary Dynamics on Function Spaces

Nikola B. Kovachki, K. Azizzadenesheli, Anima Anandkumar, 2023, ArXiv.

Auditing AI models for Verified Deployment under Semantic Specifications pdf

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

Towards Reducing Labeling Cost in Deep Object Detection pdf

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

Quantum Semideﬁnite Programming with the Hadamard Test and Approximate Amplitude Constraints

Anima Anandkumar, Jean Kossaifi, S. Yelin, 2022 .

ZerO Initialization: Initializing Residual Networks with only Zeros and Ones pdf

Jiawei Zhao, Anima Anandkumar, Florian Schäfer, 2021, ArXiv.

Stochastic Linear Bandits with Hidden Low Rank Structure pdf

Babak Hassibi, Kamyar Azizzadenesheli, Anima Anandkumar, 2019, ArXiv.

Incrementally-Computable Neural Networks: Efficient Inference for Dynamic Inputs

Anima Anandkumar, Or Sharir, 2023, ArXiv.

StrassenNets: Deep learning with a multiplication budget

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

BiasTestGPT: Using ChatGPT for Social Bias Testing of Language Models

Anima Anandkumar, Shrimai Prabhumoye, R. Alvarez, 2023, 2302.07371.

InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers

Richard Baraniuk, Anima Anandkumar, Animesh Garg, 2019, 1912.03978.

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.

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Connor W. Coley, Chaitanya K. Joshi, Aria Mansouri Tehrani, 2023, arXiv.org.

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..

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.

Near-Term Distributed Quantum Computation using Mean-Field Corrections and Auxiliary Qubits

Anima Anandkumar, S. Yelin, T. Patti, 2023, 2309.05693.

Learning Loopy Graphical Models with Latent Variables: Efficient Methods and Guarantees pdf

Anima Anandkumar, Ragupathyraj Valluvan, Anima Anandkumar, 2012, The Annals of Statistics.

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

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

Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates pdf

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

Multi-Object Classification and Unsupervised Scene Understanding Using Deep Learning Features and Latent Tree Probabilistic Models pdf

Anima Anandkumar, Tejaswi Nimmagadda, Anima Anandkumar, 2015, ArXiv.

Trust Region Policy Optimization for POMDPs pdf

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

InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers

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

LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Aidan M. Swope, Anima Anandkumar, R. Prenger, 2023, ArXiv.

Scientific discovery in the age of artificial intelligence

Connor W. Coley, Pushmeet Kohli, J. Leskovec, 2023, Nature.

Neural Operators for Accelerating Scientific Simulations and Design

Nikola B. Kovachki, Anima Anandkumar, Jean Kossaifi, 2023, ArXiv.

Geometry-Informed Neural Operator for Large-Scale 3D PDEs

Nikola B. Kovachki, K. Azizzadenesheli, Anima Anandkumar, 2023, NeurIPS.

Speeding up Fourier Neural Operators via Mixed Precision

K. Azizzadenesheli, Anima Anandkumar, Gennady Pekhimenko, 2023, ArXiv.

Real-time High-resolution CO2 Geological Storage Prediction using Nested Fourier Neural Operators

K. Azizzadenesheli, Anima Anandkumar, Zong-Yi Li, 2022, Energy & Environmental Science.

AI-aided Geometric Design of Anti-infection Catheters

Anima Anandkumar, P. Sternberg, J. Brady, 2023, 2304.14554.

Learning Chaotic Dynamics in Dissipative Systems

Nikola B. Kovachki, K. Azizzadenesheli, Anima Anandkumar, 2022, NeurIPS.

Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study

Lawrence C. McAfee, M. Shoeybi, Bryan Catanzaro, 2023, EMNLP.

Guaranteed Scalable Learning of Latent Tree Models

Jimeng Sun, Robert Chen, Anima Anandkumar, 2014, UAI.

Integrated Structure and Parameters Learning in Latent Tree Graphical Models

Anima Anandkumar, Furong Huang, U. Niranjan, 2014, ArXiv.

InRank: Incremental Low-Rank Learning

Anima Anandkumar, Jiawei Zhao, Yifei Zhang, 2023, ArXiv.

Directivity Modes of Earthquake Populations with Unsupervised Learning pdf

Kamyar Azizzadenesheli, Anima Anandkumar, Zachary E. Ross, 2019, Journal of Geophysical Research: Solid Earth.

Sample Complexity Analysis for Learning Overcomplete Latent Variable Models through Tensor Methods

Anima Anandkumar, Rong Ge, Majid Janzamin, 2017 .

Homotopy Method for Tensor Principal Component Analysis pdf

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

FEAST at Play: Feature ExtrAction using Score function Tensors

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

Nonparametric Estimation of Multi-View Latent Variable Models

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

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

Anima Anandkumar, B. Dally, Rangharajan Venkatesan, 2021, ArXiv.

MESHFREEFLOWNET: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework

Prabhat, Mustafa A. Mustafa, K. Azizzadenesheli, 2020, SC20: International Conference for High Performance Computing, Networking, Storage and Analysis.

Score Function Features for Discriminative Learning: Matrix and Tensor Framework

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

High-dimensional covariance decomposition into sparse Markov and independence models

Anima Anandkumar, Majid Janzamin, Anima Anandkumar, 2012, J. Mach. Learn. Res..

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

Anima Anandkumar, Hanie Sedghi, Majid Janzamin, 2016 .

Combining Symbolic and Function Evaluation Expressions In Neural Programs pdf

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

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Connor W. Coley, Chaitanya K. Joshi, Aria Mansouri Tehrani, 2023, ArXiv.

Stability Constrained Reinforcement Learning for Decentralized Real-Time Voltage Control

S. Low, Anima Anandkumar, A. Wierman, 2022, IEEE Transactions on Control of Network Systems.