Publication

Backpropagation-Friendly Eigendecomposition

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

Backpropagation-Friendly Eigendecomposition

Graph Chatbot

Chattez avec Graph Search

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

Data and scripts for the RaFSIP scheme

Hybrid Simulator for Capturing Dynamics of Synthetic Populations

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Data-driven statistical optimization of a groundwater monitoring network

Robust mass lumping and outlier removal strategies in isogeometric analysis

Probabilistic and Deterministic Wellposedness for Low Regularity Dispersive Equations

Orchestrating chromosome conformation capture analysis with Bioconductor

Dataset for "Complexity of crack front geometry enhances toughness of brittle solids"

Pore size estimation in axon-mimicking microfibers with diffusion-relaxation MRI

Orchestrating chromosome conformation capture analysis with Bioconductor

Dataset for "Complexity of crack front geometry enhances toughness of brittle solids"

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

Data and scripts for the RaFSIP scheme

Hybrid Simulator for Capturing Dynamics of Synthetic Populations

Pore size estimation in axon-mimicking microfibers with diffusion-relaxation MRI

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Data-driven statistical optimization of a groundwater monitoring network

Probabilistic and Deterministic Wellposedness for Low Regularity Dispersive Equations

Robust mass lumping and outlier removal strategies in isogeometric analysis