Double Trouble in Double Descent: Bias and Variance(s) in the Lazy Regime. - Stéphane d'Ascoli; Maria Refinetti; Giulio Biroli; Florent Krzakala (ICML, 2020)

Epidemic mitigation by statistical inference from contact tracing data. - Antoine Baker; Indaco Biazzo; Alfredo Braunstein; Giovanni Catania; Luca Dall'Asta; Alessandro Ingrosso; Florent Krzakala; Fabio Mazza; Marc Mézard; Anna Paola Muntoni; Maria Refinetti; Stefano Sarao Mannelli; et al. (CoRR, 2020)

The dynamics of learning with feedback alignment. - Maria Refinetti; Stéphane d'Ascoli; Ruben Ohana; Sebastian Goldt (CoRR, 2020)

Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed. - Maria Refinetti; Sebastian Goldt; Florent Krzakala; Lenka Zdeborová (ICML, 2021)

Align, then memorise: the dynamics of learning with feedback alignment. - Maria Refinetti; Stéphane d'Ascoli; Ruben Ohana; Sebastian Goldt (ICML, 2021)

Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension. - Bruno Loureiro; Cédric Gerbelot; Maria Refinetti; Gabriele Sicuro; Florent Krzakala (ICML, 2022)

The dynamics of representation learning in shallow, non-linear autoencoders. - Maria Refinetti; Sebastian Goldt (ICML, 2022)

Optimal learning rate schedules in high-dimensional non-convex optimization problems. - Stéphane d'Ascoli; Maria Refinetti; Giulio Biroli (CoRR, 2022)

Neural networks trained with SGD learn distributions of increasing complexity. - Maria Refinetti; Alessandro Ingrosso; Sebastian Goldt (ICML, 2023)

Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization. - Ravi Francesco Srinivasan; Francesca Mignacco; Martino Sorbaro 001; Maria Refinetti; Avi Cooper; Gabriel Kreiman; Giorgia Dellaferrera (ICLR, 2024)