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Leonardo Defilippis
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2020 – today
- 2025
[c2]Emanuele Troiani, Yatin Dandi, Leonardo Defilippis, Lenka Zdeborová, Bruno Loureiro, Florent Krzakala:
Fundamental computational limits of weak learnability in high-dimensional multi-index models. AISTATS 2025: 2467-2475
[i5]Leonardo Defilippis, Yatin Dandi, Pierre Mergny, Florent Krzakala, Bruno Loureiro:
Optimal Spectral Transitions in High-Dimensional Multi-Index Models. CoRR abs/2502.02545 (2025)
[i4]Leonardo Defilippis, Yizhou Xu, Julius Girardin, Emanuele Troiani, Vittorio Erba, Lenka Zdeborová, Bruno Loureiro, Florent Krzakala:
Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime. CoRR abs/2509.24882 (2025)- 2024
[c1]Leonardo Defilippis, Bruno Loureiro, Theodor Misiakiewicz:
Dimension-free deterministic equivalents and scaling laws for random feature regression. NeurIPS 2024
[i3]Emanuele Troiani
, Yatin Dandi, Leonardo Defilippis, Lenka Zdeborová, Bruno Loureiro
, Florent Krzakala:
Fundamental limits of weak learnability in high-dimensional multi-index models. CoRR abs/2405.15480 (2024)
[i2]Leonardo Defilippis, Bruno Loureiro
, Theodor Misiakiewicz:
Dimension-free deterministic equivalents for random feature regression. CoRR abs/2405.15699 (2024)- 2023
[i1]Urte Adomaityte, Leonardo Defilippis, Bruno Loureiro, Gabriele Sicuro:
High-dimensional robust regression under heavy-tailed data: Asymptotics and Universality. CoRR abs/2309.16476 (2023)
Coauthor Index

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