
Perturbative construction of meanfield equations in extensiverank matrix factorization and denoising
Factorization of matrices where the rank of the two factors diverges lin...
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Capturing the learning curves of generic features maps for realistic data sets with a teacherstudent model
Teacherstudent models provide a powerful framework in which the typical...
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Epidemic mitigation by statistical inference from contact tracing data
Contacttracing is an essential tool in order to mitigate the impact of ...
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The Gaussian equivalence of generative models for learning with twolayer neural networks
Understanding the impact of data structure on learning in neural network...
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Generalisation error in learning with random features and the hidden manifold model
We study generalised linear regression and classification for a syntheti...
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Modelling the influence of data structure on learning in neural networks
The lack of crisp mathematical models that capture the structure of real...
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Hightemperature Expansions and Message Passing Algorithms
Improved meanfield technics are a central theme of statistical physics ...
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MultiLayer Generalized Linear Estimation
We consider the problem of reconstructing a signal from multilayered (p...
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Phase transitions and sample complexity in Bayesoptimal matrix factorization
We analyse the matrix factorization problem. Given a noisy measurement o...
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Marc Mézard
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