Luca Pesce

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 10

Top Topics

High Dimensions

Random Instances

Dimensional Data

Top Venues

Publications

Hugo Cui, Luca Pesce, Yatin Dandi, Florent Krzakala, Yue M. Lu, Lenka Zdeborová, Bruno Loureiro
Asymptotics of feature learning in two-layer networks after one gradient-step. CoRR (2024)
Luca Arnaboldi, Yatin Dandi, Florent Krzakala, Luca Pesce, Ludovic Stephan
Repetita Iuvant: Data Repetition Allows SGD to Learn High-Dimensional Multi-Index Functions. CoRR (2024)
Luca Arnaboldi, Yatin Dandi, Florent Krzakala, Bruno Loureiro, Luca Pesce, Ludovic Stephan
Online Learning and Information Exponents: On The Importance of Batch size, and Time/Complexity Tradeoffs. CoRR (2024)
Yatin Dandi, Emanuele Troiani, Luca Arnaboldi, Luca Pesce, Lenka Zdeborová, Florent Krzakala
The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents. CoRR (2024)
Francis R. Bach, Elisabetta Cornacchia, Luca Pesce, Giovanni Piccioli
Theory and applications of the Sum-Of-Squares technique. CoRR (2023)
Luca Pesce, Florent Krzakala, Bruno Loureiro, Ludovic Stephan
Are Gaussian data all you need? Extents and limits of universality in high-dimensional generalized linear estimation. CoRR (2023)
Yatin Dandi, Florent Krzakala, Bruno Loureiro, Luca Pesce, Ludovic Stephan
Learning Two-Layer Neural Networks, One (Giant) Step at a Time. CoRR (2023)
Luca Pesce, Florent Krzakala, Bruno Loureiro, Ludovic Stephan
Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation. ICML (2023)
Luca Pesce, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap. NeurIPS (2022)
Luca Pesce, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
Subspace clustering in high-dimensions: Phase transitions \& Statistical-to-Computational gap. CoRR (2022)