Publications de Wulfram Gerstner

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

Wulfram Gerstner

Graph Chatbot

Chattez avec Graph Search

Mesoscopic modeling of hidden spiking neurons

Approximating Relu Networks By Single-Spike Computation

Local plasticity rules can learn deep representations using self-supervised contrastive predictions

Fitting summary statistics of neural data with a differentiable spiking network simulator

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

Rapid suppression and sustained activation of distinct cortical regions for a delayed sensory-triggered motor response

When shared concept cells support associations: Theory of overlapping memory engrams

Learning in Volatile Environments With the Bayes Factor Surprise

A functional model of adult dentate gyrus neurogenesis

Dendritic Voltage Recordings Explain Paradoxical Synaptic Plasticity: A Modeling Study

Mesoscopic modeling of hidden spiking neurons

Approximating Relu Networks By Single-Spike Computation

A functional model of adult dentate gyrus neurogenesis

Dendritic Voltage Recordings Explain Paradoxical Synaptic Plasticity: A Modeling Study

Fitting summary statistics of neural data with a differentiable spiking network simulator

Local plasticity rules can learn deep representations using self-supervised contrastive predictions

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

Rapid suppression and sustained activation of distinct cortical regions for a delayed sensory-triggered motor response

When shared concept cells support associations: Theory of overlapping memory engrams

Learning in Volatile Environments With the Bayes Factor Surprise