Genealogical Population-Based Training for Hyperparameter Optimization. - Antoine Scardigli; Paul Fournier; Matteo Vilucchio; David Naccache (CoRR, 2021)

Asymptotic Characterisation of Robust Empirical Risk Minimisation Performance in the Presence of Outliers. - Matteo Vilucchio; Emanuele Troiani; Vittorio Erba; Florent Krzakala (CoRR, 2023)

Asymptotic Characterisation of the Performance of Robust Linear Regression in the Presence of Outliers. - Matteo Vilucchio; Emanuele Troiani; Vittorio Erba; Florent Krzakala (AISTATS, 2024)

A High Dimensional Model for Adversarial Training: Geometry and Trade-Offs. - Kasimir Tanner; Matteo Vilucchio; Bruno Loureiro; Florent Krzakala (CoRR, 2024)

On the Geometry of Regularization in Adversarial Training: High-Dimensional Asymptotics and Generalization Bounds. - Matteo Vilucchio; Nikolaos Tsilivis 002; Bruno Loureiro; Julia Kempe (CoRR, 2024)

A High Dimensional Statistical Model for Adversarial Training: Geometry and Trade-Offs. - Kasimir Tanner; Matteo Vilucchio; Bruno Loureiro; Florent Krzakala (AISTATS, 2025)

Asymptotics of Non-Convex Generalized Linear Models in High-Dimensions: A proof of the replica formula. - Matteo Vilucchio; Yatin Dandi; Cédric Gerbelot; Florent Krzakala (CoRR, 2025)

On the existence of consistent adversarial attacks in high-dimensional linear classification. - Matteo Vilucchio; Lenka Zdeborová; Bruno Loureiro (CoRR, 2025)