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Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed


Feb 23, 2021
Maria Refinetti, Sebastian Goldt, Florent Krzakala, Lenka Zdeborová

* The accompanying code for this paper is available at https://github.com/mariaref/rfvs2lnn_GMM_online 

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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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The dynamics of learning with feedback alignment


Nov 24, 2020
Maria Refinetti, Stéphane d'Ascoli, Ruben Ohana, Sebastian Goldt

* The accompanying code for this paper is available at https://github.com/sdascoli/dfa-dynamics 

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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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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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Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup


Jun 18, 2019
Sebastian Goldt, Madhu S. Advani, Andrew M. Saxe, Florent Krzakala, Lenka Zdeborová

* 10 pages + references + supplemental material. arXiv admin note: substantial text overlap with arXiv:1901.09085 

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Generalisation dynamics of online learning in over-parameterised neural networks


Jan 25, 2019
Sebastian Goldt, Madhu S. Advani, Andrew M. Saxe, Florent Krzakala, Lenka Zdeborová

* 25 pages, 13 figures 

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