Matteo Vilucchio

According to our database, Matteo Vilucchio authored at least 9 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Deep Learning as Neural Low-Degree Filtering: A Spectral Theory of Hierarchical Feature Learning.

Yatin Dandi, Matteo Vilucchio, Luca Arnaboldi, Hugo Tabanelli, Florent Krzakala

CoRR, May, 2026

On the Geometry of Regularization in Adversarial Training: High-Dimensional Asymptotics and Generalization Bounds.

Matteo Vilucchio, Nikolaos Tsilivis, Bruno Loureiro, Julia Kempe

Trans. Mach. Learn. Res., 2026

2025

On the existence of consistent adversarial attacks in high-dimensional linear classification.

Matteo Vilucchio, Lenka Zdeborová, Bruno Loureiro

CoRR, June, 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, February, 2025

A High Dimensional Statistical Model for Adversarial Training: Geometry and Trade-Offs.

Kasimir Tanner, Matteo Vilucchio, Bruno Loureiro, Florent Krzakala

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

A High Dimensional Model for Adversarial Training: Geometry and Trade-Offs.

Kasimir Tanner, Matteo Vilucchio, Bruno Loureiro, Florent Krzakala

CoRR, 2024

Asymptotic Characterisation of the Performance of Robust Linear Regression in the Presence of Outliers.

Matteo Vilucchio, Emanuele Troiani, Vittorio Erba, Florent Krzakala

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Asymptotic Characterisation of Robust Empirical Risk Minimisation Performance in the Presence of Outliers.

Matteo Vilucchio, Emanuele Troiani, Vittorio Erba, Florent Krzakala

CoRR, 2023

2021

Genealogical Population-Based Training for Hyperparameter Optimization.

Antoine Scardigli, Paul Fournier, Matteo Vilucchio, David Naccache

CoRR, 2021