Leonardo Defilippis

According to our database, Leonardo Defilippis authored at least 7 papers between 2023 and 2025.

Collaborative distances:

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

2025

Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime.

Leonardo Defilippis, Yizhou Xu, Julius Girardin, Emanuele Troiani, Vittorio Erba, Lenka Zdeborová, Bruno Loureiro, Florent Krzakala

CoRR, September, 2025

Optimal Spectral Transitions in High-Dimensional Multi-Index Models.

Leonardo Defilippis, Yatin Dandi, Pierre Mergny, Florent Krzakala, Bruno Loureiro

CoRR, February, 2025

Fundamental computational limits of weak learnability in high-dimensional multi-index models.

Emanuele Troiani, Yatin Dandi, Leonardo Defilippis, Lenka Zdeborová, Bruno Loureiro, Florent Krzakala

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

2024

Dimension-free deterministic equivalents for random feature regression.

Leonardo Defilippis, Bruno Loureiro, Theodor Misiakiewicz

CoRR, 2024

Fundamental limits of weak learnability in high-dimensional multi-index models.

Emanuele Troiani, Yatin Dandi, Leonardo Defilippis, Lenka Zdeborová, Bruno Loureiro, Florent Krzakala

CoRR, 2024

Dimension-free deterministic equivalents and scaling laws for random feature regression.

Leonardo Defilippis, Bruno Loureiro, Theodor Misiakiewicz

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

High-dimensional robust regression under heavy-tailed data: Asymptotics and Universality.

Urte Adomaityte, Leonardo Defilippis, Bruno Loureiro, Gabriele Sicuro

CoRR, 2023