Publication

Machine learning materials physics: Integrable deep neural networks enable scale bridging by learning free energy functions

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Scott William Pesme

In this PhD manuscript, we explore optimisation phenomena which occur in complex neural networks through the lens of

2

-layer diagonal linear networks. This rudimentary architecture, which consists of a two layer feedforward linear network with a diagonal ...

EPFL2024

Machine learning materials physics: Integrable deep neural networks enable scale bridging by learning free energy functions

Graph Chatbot

Chattez avec Graph Search

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Solvation Free Energies from Machine Learning Molecular Dynamics

Frustrated magnets in the limit of infinite dimensions: Dynamics and disorder-free glass transition

Random matrix methods for high-dimensional machine learning models

Residual-based attention in physics-informed neural networks

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Predicting the long-term collective behaviour of fish pairs with deep learning

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Solvation Free Energies from Machine Learning Molecular Dynamics

Frustrated magnets in the limit of infinite dimensions: Dynamics and disorder-free glass transition

Random matrix methods for high-dimensional machine learning models

Residual-based attention in physics-informed neural networks

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Predicting the long-term collective behaviour of fish pairs with deep learning

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning