Intrinsic dimension estimation for locally undersampled data. - Vittorio Erba; Marco Gherardi; Pietro Rotondo (CoRR, 2019)

The p-Airy distribution. - Sergio Caracciolo; Vittorio Erba; Andrea Sportiello (CoRR, 2020)

Optimal denoising of rotationally invariant rectangular matrices. - Emanuele Troiani; Vittorio Erba; Florent Krzakala; Antoine Maillard; Lenka Zdeborová (MSML, 2022)

Statistical mechanics of the maximum-average submatrix problem. - Vittorio Erba; Florent Krzakala; Rodrigo Pérez; Lenka Zdeborová (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)

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

The Nuclear Route: Sharp Asymptotics of ERM in Overparameterized Quadratic Networks. - Vittorio Erba; Emanuele Troiani; Lenka Zdeborová; Florent Krzakala (CoRR, 2025)

Bayes optimal learning of attention-indexed models. - Fabrizio Boncoraglio; Emanuele Troiani; Vittorio Erba; Lenka Zdeborová (CoRR, 2025)

The maximum-average subtensor problem: equilibrium and out-of-equilibrium properties. - Vittorio Erba; Nathan Malo Kupferschmid; Rodrigo Pérez; Lenka Zdeborová (CoRR, 2025)