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2020 – today
- 2024
[c5]Luca Arnaboldi, Yatin Dandi, Florent Krzakala, Bruno Loureiro, Luca Pesce, Ludovic Stephan:
Online Learning and Information Exponents: The Importance of Batch size & Time/Complexity Tradeoffs. ICML 2024- [c4]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. ICML 2024 - [c3]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. ICML 2024 - [i8]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 abs/2402.03220 (2024) - [i7]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 abs/2402.04980 (2024) - [i6]Luca Arnaboldi, Yatin Dandi, Florent Krzakala, Luca Pesce, Ludovic Stephan:
Repetita Iuvant: Data Repetition Allows SGD to Learn High-Dimensional Multi-Index Functions. CoRR abs/2405.15459 (2024) - [i5]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 abs/2406.02157 (2024) - 2023
- [c2]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: 27680-27708 - [i4]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 abs/2302.08923 (2023) - [i3]Yatin Dandi, Florent Krzakala, Bruno Loureiro, Luca Pesce, Ludovic Stephan:
Learning Two-Layer Neural Networks, One (Giant) Step at a Time. CoRR abs/2305.18270 (2023) - [i2]Francis R. Bach, Elisabetta Cornacchia, Luca Pesce, Giovanni Piccioli:
Theory and applications of the Sum-Of-Squares technique. CoRR abs/2306.16255 (2023) - 2022
- [c1]Luca Pesce, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová:
Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap. NeurIPS 2022 - [i1]Luca Pesce, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová:
Subspace clustering in high-dimensions: Phase transitions \& Statistical-to-Computational gap. CoRR abs/2205.13527 (2022) - 2021
- [d4]Giacomo Mazzamuto, Irene Costantini, Vladislav Gavryusev, Filippo Maria Castelli, Luca Pesce, Marina Scardigli, Matteo Roffilli, Ludovico Silvestri, Francesco Saverio Pavone, Patrick Hof, David A. Boas, Jiarui Yang, Leah Morgan, Bruce Fischl:
Broca's Area Light-Sheet Microscopy. Zenodo, 2021
- [d3]Giacomo Mazzamuto, Irene Costantini, Vladislav Gavryusev, Filippo Maria Castelli, Luca Pesce, Marina Scardigli, Matteo Roffilli, Ludovico Silvestri, Francesco Saverio Pavone, Patrick Hof, David A. Boas, Jiarui Yang, Leah Morgan, Bruce Fischl:
Broca's Area Light-Sheet Microscopy. Zenodo, 2021 - [d2]Giacomo Mazzamuto, Irene Costantini, Vladislav Gavryusev, Filippo Maria Castelli, Luca Pesce, Marina Scardigli, Matteo Roffilli, Ludovico Silvestri, Francesco Saverio Pavone, Patrick Hof, David A. Boas, Jiarui Yang, Leah Morgan, Bruce Fischl:
Broca's Area Light-Sheet Microscopy. Zenodo, 2021 - [d1]Giacomo Mazzamuto, Irene Costantini, Vladislav Gavryusev, Filippo Maria Castelli, Luca Pesce, Marina Scardigli, Matteo Roffilli, Ludovico Silvestri, Francesco Saverio Pavone, Patrick Hof, David A. Boas, Jiarui Yang, Leah Morgan, Bruce Fischl:
Broca's Area Light-Sheet Microscopy. Zenodo, 2021
Coauthor Index
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