Publications associées à Réseau superposé

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.

Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances

Wulfram Gerstner, Clément Hongler, Johanni Michael Brea, Francesco Spadaro, Berfin Simsek, Arthur Jacot

We study how permutation symmetries in overparameterized multi-layer neural networks generate `symmetry-induced' critical points. Assuming a network with

L

layers of minimal widths

r_1^*, \ldots, r_{L-1}^*

reaches a zero-loss minimum at $ r_1^*! \c ...

2021

Réseau superposé

Graph Chatbot

Chattez avec Graph Search

Fair Incentivization of Bandwidth Sharing in Decentralized Storage Networks

Optimal routing and design of CO2 based district anergy networks

Face Reconstruction Fromdeep Facial Embeddings Using A Convolutional Neural Network

Physics-informed neural networks for diffraction tomography

Byzantine Consensus is Θ(n^2): The Dolev-Reischuk Bound is Tight even in Partial Synchrony!

Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances

Switchover phenomenon induced by epidemic seeding on geometric networks

Railway timetable rescheduling with capacity constraint

Social Learning Under Inferential Attacks

Physics-informed machine learning for reduced-order modeling of nonlinear problems

Fair Incentivization of Bandwidth Sharing in Decentralized Storage Networks

Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances

Optimal routing and design of CO2 based district anergy networks

Face Reconstruction Fromdeep Facial Embeddings Using A Convolutional Neural Network

Byzantine Consensus is Θ(n^2): The Dolev-Reischuk Bound is Tight even in Partial Synchrony!

Physics-informed neural networks for diffraction tomography

Social Learning Under Inferential Attacks

Switchover phenomenon induced by epidemic seeding on geometric networks

Physics-informed machine learning for reduced-order modeling of nonlinear problems

Railway timetable rescheduling with capacity constraint