Lista de obras - Anima Anandkumar - Dominio Público Uruguay

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 ⬇️

artículo científico publicado en 2020

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

artículo científico publicado en 2020

Directivity Modes of Earthquake Populations with Unsupervised Learning

artículo científico publicado en 2020

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

artículo científico publicado en 2022

Fast and Guaranteed Tensor Decomposition via Sketching ⬇️

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

artículo científico publicado en 2011

Informing geometric deep learning with electronic interactions to accelerate quantum chemistry

artículo científico publicado en 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 ⬇️

artículo científico publicado en 2020

Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems ⬇️

artículo científico publicado en 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 ⬇️

artículo científico publicado en 2020

Neural Networks with Recurrent Generative Feedback ⬇️

artículo científico publicado en 2020

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

artículo científico publicado en 2022

Non-convex Robust PCA ⬇️

artículo científico publicado en 2014

Online and Differentially-Private Tensor Decomposition ⬇️

artículo científico publicado en 2016

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

artículo científico publicado en 2020

Spectral Latent Dirichlet Allocation model on Spark ⬇️

article

Spectral Learning on Matrices and Tensors

artículo científico publicado en 2019

Spectral Methods for Learning Multivariate Latent Tree Structure ⬇️

artículo científico publicado en 2011

Tensor Decompositions for Learning Latent Variable Models

The Potential Dangers of Artificial Intelligence for Radiology and Radiologists

artículo científico publicado en 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

artículo científico publicado en 2022

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

artículo científico publicado en 2022

Lista de obras de 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 ⬇️