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Florent Gérard Krzakala

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Florent Gérard Krzakala

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Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks

Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap

Multi-layer State Evolution Under Random Convolutional Design

Epidemic mitigation by statistical inference from contact tracing data

Construction of optimal spectral methods in phase retrieval

Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed

Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification

The Spiked Matrix Model With Generative Priors

Mutual Information and Optimality of Approximate Message-Passing in Random Linear Estimation

Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval