Defilippis, Leonardo

6 publications

ICLR 2026 Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime Leonardo Defilippis, Yizhou Xu, Julius Girardin, Vittorio Erba, Emanuele Troiani, Lenka Zdeborová, Bruno Loureiro, Florent Krzakala

AISTATS 2025 Fundamental Computational Limits of Weak Learnability in High-Dimensional Multi-Index Models Emanuele Troiani, Yatin Dandi, Leonardo Defilippis, Lenka Zdeborova, Bruno Loureiro, Florent Krzakala

NeurIPS 2025 Optimal Spectral Transitions in High-Dimensional Multi-Index Models Leonardo Defilippis, Yatin Dandi, Pierre Mergny, Florent Krzakala, Bruno Loureiro

NeurIPS 2024 Dimension-Free Deterministic Equivalents and Scaling Laws for Random Feature Regression Leonardo Defilippis, Bruno Loureiro, Theodor Misiakiewicz

ICMLW 2024 Fundamental Limits of Weak Learnability in High-Dimensional Multi-Index Models Emanuele Troiani, Yatin Dandi, Leonardo Defilippis, Lenka Zdeborova, Bruno Loureiro, Florent Krzakala

NeurIPSW 2023 High-Dimensional Robust Regression Under Heavy-Tailed Data: Asymptotics and Universality Urte Adomaityte, Leonardo Defilippis, Bruno Loureiro, Gabriele Sicuro