List of works - Anima Anandkumar

A Spectral Algorithm for Latent Dirichlet Allocation ⬇️

Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning ⬇️

Born Again Neural Networks ⬇️

scholarly article published December 2017

Causal Discovery in Physical Systems from Videos ⬇️

Competitive Gradient Descent ⬇️

Convolutional Tensor-Train LSTM for Spatio-Temporal Learning ⬇️

scientific article published in November 2020

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

scientific article published on 25 September 2020

Directivity Modes of Earthquake Populations with Unsupervised Learning

scientific article

Expert surgeons and deep learning models can predict the outcome of surgical hemorrhage from 1 min of video

scientific article published on 17 May 2022

Fast and Guaranteed Tensor Decomposition via Sketching ⬇️

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

scientific article published in January 2011

Informing geometric deep learning with electronic interactions to accelerate quantum chemistry

scientific article published in 2022

Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs ⬇️

article

Learning Mixtures of Tree Graphical Models ⬇️

Learning Sparsely Used Overcomplete Dictionaries via Alternating Minimization

scientific article published in 2016

Learning compositional functions via multiplicative weight updates ⬇️

scientific article published in November 2020

Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems ⬇️

scientific article published in November 2020

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

article by Hanie Sedghi et al published 2014 in Advances in Neural Information Processing Systems 27

Multipole Graph Neural Operator for Parametric Partial Differential Equations ⬇️

scientific article published in November 2020

Neural Networks with Recurrent Generative Feedback ⬇️

scientific article published in November 2020

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

scientific article published in 2022

Non-convex Robust PCA ⬇️

scientific article published in January 2014

Online and Differentially-Private Tensor Decomposition ⬇️

scientific article published in January 2016

OrbNet: Deep learning for quantum chemistry using symmetry-adapted atomic-orbital features

scientific article published on 01 September 2020

Spectral Latent Dirichlet Allocation model on Spark ⬇️

article

Spectral Learning on Matrices and Tensors

scientific article published in 2019

Spectral Methods for Learning Multivariate Latent Tree Structure ⬇️

scientific article published in January 2011

Tensor Decompositions for Learning Latent Variable Models

The Potential Dangers of Artificial Intelligence for Radiology and Radiologists

scientific article published on 17 April 2020

Type-Based Random Access for Distributed Detection Over Multiaccess Fading Channels

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

scientific article published in 2022

Utility of the Simulated Outcomes Following Carotid Artery Laceration Video Data Set for Machine Learning Applications

scientific article published on 01 March 2022

List of works by Anima Anandkumar

A Spectral Algorithm for Latent Dirichlet Allocation ⬇️

Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning ⬇️

Born Again Neural Networks ⬇️

Causal Discovery in Physical Systems from Videos ⬇️

Competitive Gradient Descent ⬇️

Convolutional Tensor-Train LSTM for Spatio-Temporal Learning ⬇️

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

Directivity Modes of Earthquake Populations with Unsupervised Learning

Expert surgeons and deep learning models can predict the outcome of surgical hemorrhage from 1 min of video

Fast and Guaranteed Tensor Decomposition via Sketching ⬇️

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

Informing geometric deep learning with electronic interactions to accelerate quantum chemistry

Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs ⬇️

Learning Mixtures of Tree Graphical Models ⬇️

Learning Sparsely Used Overcomplete Dictionaries via Alternating Minimization

Learning compositional functions via multiplicative weight updates ⬇️

Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems ⬇️

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

Multipole Graph Neural Operator for Parametric Partial Differential Equations ⬇️

Neural Networks with Recurrent Generative Feedback ⬇️

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

Non-convex Robust PCA ⬇️

Online and Differentially-Private Tensor Decomposition ⬇️

OrbNet: Deep learning for quantum chemistry using symmetry-adapted atomic-orbital features

Spectral Latent Dirichlet Allocation model on Spark ⬇️

Spectral Learning on Matrices and Tensors

Spectral Methods for Learning Multivariate Latent Tree Structure ⬇️

Tensor Decompositions for Learning Latent Variable Models

The Potential Dangers of Artificial Intelligence for Radiology and Radiologists

Type-Based Random Access for Distributed Detection Over Multiaccess Fading Channels

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

Utility of the Simulated Outcomes Following Carotid Artery Laceration Video Data Set for Machine Learning Applications

When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity ⬇️