Person

Florent Gérard Krzakala

Related publications (31)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Florent Gérard Krzakala

Graph Chatbot

Chat with Graph Search

Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization

Reservoir Computing meets Recurrent Kernels and Structured Transforms

Phase retrieval in high dimensions: Statistical and computational phase transitions

Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures

Optimal errors and phase transitions in high-dimensional generalized linear models

Entropy and mutual information in models of deep neural networks

The committee machine: computational to statistical gaps in learning a two-layers neural network

The committee machine: Computational to statistical gaps in learning a two-layers neural network

Entropy and mutual information in models of deep neural networks

The Mutual Information in Random Linear Estimation Beyond i.i.d. Matrices

Phase retrieval in high dimensions: Statistical and computational phase transitions

Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization

Reservoir Computing meets Recurrent Kernels and Structured Transforms

Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures

Optimal errors and phase transitions in high-dimensional generalized linear models

Entropy and mutual information in models of deep neural networks

The committee machine: computational to statistical gaps in learning a two-layers neural network

The committee machine: Computational to statistical gaps in learning a two-layers neural network

Entropy and mutual information in models of deep neural networks

The Mutual Information in Random Linear Estimation Beyond i.i.d. Matrices