Publication

Local Learning Algorithm For Optical Neural Networks

Publications associées (34)

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

Local Learning Algorithm For Optical Neural Networks

Graph Chatbot

Chattez avec Graph Search

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Understanding generalization and robustness in modern deep learning

Fundamental Limits in Statistical Learning Problems: Block Models and Neural Networks

Rank-Adaptive Time Integration Of Tree Tensor Networks

Personalized Productive Engagement Recognition in Robot-Mediated Collaborative Learning

Momentum-Based Policy Gradient with Second-Order Information

Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making

Masked Training of Neural Networks with Partial Gradients

Metrizing Fairness

Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Fundamental Limits in Statistical Learning Problems: Block Models and Neural Networks

Understanding generalization and robustness in modern deep learning

Rank-Adaptive Time Integration Of Tree Tensor Networks

Personalized Productive Engagement Recognition in Robot-Mediated Collaborative Learning

Masked Training of Neural Networks with Partial Gradients

Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making

Momentum-Based Policy Gradient with Second-Order Information

Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks

Metrizing Fairness