58 citations · 125 across the 9 of their papers we have counts for
3 papers · 1 filter
Multi-layer State Evolution Under Random Convolutional Design
Mara Daniels, Cédric Gerbelot, Florent Krzakala +1
Signal recovery under generative neural network priors has emerged as a promising direction in statistical inference and computational imaging. Theoretical analysis of reconstructi…
Learning curves for the multi-class teacher-student perceptron
Elisabetta Cornacchia, Francesca Mignacco, Rodrigo Veiga +3
One of the most classical results in high-dimensional learning theory provides a closed-form expression for the generalisation error of binary classification with the single-layer…
Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension
Bruno Loureiro, Cédric Gerbelot, Maria Refinetti +2
From the sampling of data to the initialisation of parameters, randomness is ubiquitous in modern Machine Learning practice. Understanding the statistical fluctuations engendered b…