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


Feb 16, 2021
Bruno Loureiro, Cédric Gerbelot, Hugo Cui, Sebastian Goldt, Florent Krzakala, Marc Mézard, Lenka Zdeborová

* main: 13 pages, 5 figures; appendix: 52 pages, 4 figures 

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Epidemic mitigation by statistical inference from contact tracing data


Sep 20, 2020
Antoine Baker, Indaco Biazzo, Alfredo Braunstein, Giovanni Catania, Luca Dall'Asta, Alessandro Ingrosso, Florent Krzakala, Fabio Mazza, Marc Mézard, Anna Paola Muntoni, Maria Refinetti, Stefano Sarao Mannelli, Lenka Zdeborová

* 21 pages, 7 figures 

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The Gaussian equivalence of generative models for learning with two-layer neural networks


Jun 25, 2020
Sebastian Goldt, Galen Reeves, Marc Mézard, Florent Krzakala, Lenka Zdeborová

* The accompanying code for this paper is available at https://github.com/sgoldt/gaussian-equiv-2layer 

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Generalisation error in learning with random features and the hidden manifold model


Feb 21, 2020
Federica Gerace, Bruno Loureiro, Florent Krzakala, Marc Mézard, Lenka Zdeborová


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Modelling the influence of data structure on learning in neural networks


Sep 25, 2019
Sebastian Goldt, Marc Mézard, Florent Krzakala, Lenka Zdeborová


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Multi-Layer Generalized Linear Estimation


Jan 24, 2017
Andre Manoel, Florent Krzakala, Marc Mézard, Lenka Zdeborová

* Information Theory (ISIT), 2017 IEEE International Symposium on, pages 2098-2102 
* 5 pages, 1 figure 

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Phase transitions and sample complexity in Bayes-optimal matrix factorization


Mar 21, 2016
Yoshiyuki Kabashima, Florent Krzakala, Marc Mézard, Ayaka Sakata, Lenka Zdeborová

* IEEE Transactions on Information Theory (Volume:62 , Issue: 7, Pages: 4228 - 4265) 2016 
* 50 pages, 10 figures 

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Phase Diagram and Approximate Message Passing for Blind Calibration and Dictionary Learning


Jan 24, 2013
Florent Krzakala, Marc Mézard, Lenka Zdeborová

* Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on, page(s) 659 - 663 
* 5 pages 

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