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Luca Pesce

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

5

Venues

2

Active years

2023–2025

Best venue rank

A*

Where they publish

Papers

5 indexed papers, newest first.

YearVenueTitleAuthors
2025AISTATSA Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities.Yatin Dandi, Luca Pesce, Hugo Cui, Florent Krzakala, Yue M. Lu, Bruno Loureiro
2024ICMLOnline Learning and Information Exponents: The Importance of Batch size & Time/Complexity Tradeoffs.Luca Arnaboldi, Yatin Dandi, Florent Krzakala, Bruno Loureiro, Luca Pesce, Ludovic Stephan
2024ICMLAsymptotics of feature learning in two-layer networks after one gradient-step.Hugo Cui, Luca Pesce, Yatin Dandi, Florent Krzakala, Yue M. Lu, Lenka Zdeborov, Bruno Loureiro
2024ICMLThe Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents.Yatin Dandi, Emanuele Troiani, Luca Arnaboldi, Luca Pesce, Lenka Zdeborov, Florent Krzakala
2023ICMLAre Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation.Luca Pesce, Florent Krzakala, Bruno Loureiro, Ludovic Stephan