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Florent Krzakala

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Fundamental limits of Non-Linear Low-Rank Matrix Estimation

Mar 07, 2024
Pierre Mergny, Justin Ko, Florent Krzakala, Lenka Zdeborová

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Spectral Phase Transition and Optimal PCA in Block-Structured Spiked models

Mar 06, 2024
Pierre Mergny, Justin Ko, Florent Krzakala

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Analysis of Bootstrap and Subsampling in High-dimensional Regularized Regression

Feb 21, 2024
Lucas Clarté, Adrien Vandenbroucque, Guillaume Dalle, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová

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A High Dimensional Model for Adversarial Training: Geometry and Trade-Offs

Feb 08, 2024
Kasimir Tanner, Matteo Vilucchio, Bruno Loureiro, Florent Krzakala

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Asymptotics of feature learning in two-layer networks after one gradient-step

Feb 07, 2024
Hugo Cui, Luca Pesce, Yatin Dandi, Florent Krzakala, Yue M. Lu, Lenka Zdeborová, Bruno Loureiro

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A phase transition between positional and semantic learning in a solvable model of dot-product attention

Feb 06, 2024
Hugo Cui, Freya Behrens, Florent Krzakala, Lenka Zdeborová

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The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents

Feb 05, 2024
Yatin Dandi, Emanuele Troiani, Luca Arnaboldi, Luca Pesce, Lenka Zdeborová, Florent Krzakala

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Analysis of learning a flow-based generative model from limited sample complexity

Oct 05, 2023
Hugo Cui, Florent Krzakala, Eric Vanden-Eijnden, Lenka Zdeborová

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Sampling with flows, diffusion and autoregressive neural networks: A spin-glass perspective

Aug 27, 2023
Davide Ghio, Yatin Dandi, Florent Krzakala, Lenka Zdeborová

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Asymptotic Characterisation of Robust Empirical Risk Minimisation Performance in the Presence of Outliers

May 30, 2023
Matteo Vilucchio, Emanuele Troiani, Vittorio Erba, Florent Krzakala

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