Publications de Johanni Michael Brea

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

Johanni Michael Brea

Graph Chatbot

Chattez avec Graph Search

Computational models of episodic-like memory in food-caching birds

Surprise and novelty in the brain

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

A taxonomy of surprise definitions

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

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

Learning in Volatile Environments With the Bayes Factor Surprise

Testing two competing hypotheses for Eurasian jays' caching for the future

On the choice of metric in gradient-based theories of brain function

Computational models of episodic-like memory in food-caching birds

Surprise and novelty in the brain

Learning in Volatile Environments With the Bayes Factor Surprise

Testing two competing hypotheses for Eurasian jays' caching for the future

A taxonomy of surprise definitions

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

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

On the choice of metric in gradient-based theories of brain function

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