Vittorio Erba

According to our database, Vittorio Erba authored at least 11 papers between 2019 and 2025.

Collaborative distances:

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

2025

The maximum-average subtensor problem: equilibrium and out-of-equilibrium properties.

Vittorio Erba, Nathan Malo Kupferschmid, Rodrigo Pérez, Lenka Zdeborová

CoRR, June, 2025

Bayes optimal learning of attention-indexed models.

Fabrizio Boncoraglio, Emanuele Troiani, Vittorio Erba, Lenka Zdeborová

CoRR, June, 2025

The Nuclear Route: Sharp Asymptotics of ERM in Overparameterized Quadratic Networks.

Vittorio Erba, Emanuele Troiani, Lenka Zdeborová, Florent Krzakala

CoRR, May, 2025

2024

Bilinear Sequence Regression: A Model for Learning from Long Sequences of High-dimensional Tokens.

Vittorio Erba, Emanuele Troiani, Luca Biggio, Antoine Maillard, Lenka Zdeborová

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

Les Houches Lectures on Deep Learning at Large & Infinite Width.

Yasaman Bahri, Boris Hanin, Antonin Brossollet, Vittorio Erba, Christian Keup, Rosalba Pacelli, James B. Simon

CoRR, 2023

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

Matteo Vilucchio, Emanuele Troiani, Vittorio Erba, Florent Krzakala

CoRR, 2023

Statistical mechanics of the maximum-average submatrix problem.

Vittorio Erba, Florent Krzakala, Rodrigo Pérez, Lenka Zdeborová

CoRR, 2023

2022

Optimal denoising of rotationally invariant rectangular matrices.

Emanuele Troiani, Vittorio Erba, Florent Krzakala, Antoine Maillard, Lenka Zdeborová

Proceedings of the Mathematical and Scientific Machine Learning, 2022

2020

The p-Airy distribution.

Sergio Caracciolo, Vittorio Erba, Andrea Sportiello

CoRR, 2020

2019

Intrinsic dimension estimation for locally undersampled data.

Vittorio Erba, Marco Gherardi, Pietro Rotondo

CoRR, 2019