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Marc Mézard

How transformers learn structured data: insights from hierarchical filtering

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Aug 27, 2024
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Kernel Density Estimators in Large Dimensions

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Aug 11, 2024
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Dynamical Regimes of Diffusion Models

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Feb 28, 2024
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The Decimation Scheme for Symmetric Matrix Factorization

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Jul 31, 2023
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Sparse Representations, Inference and Learning

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Jun 28, 2023
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Matrix factorization with neural networks

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Dec 05, 2022
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Capturing the learning curves of generic features maps for realistic data sets with a teacher-student model

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Feb 16, 2021
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Epidemic mitigation by statistical inference from contact tracing data

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Sep 20, 2020
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The Gaussian equivalence of generative models for learning with two-layer neural networks

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Jun 25, 2020
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Generalisation error in learning with random features and the hidden manifold model

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Feb 21, 2020
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