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TRAMP: Compositional Inference with TRee Approximate Message Passing
Antoine Baker
,
Benjamin Aubin
,
Florent Krzakala
,
Lenka Zdeborová
2020
Pré-publication, Document de travail
hal-02983948v1
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The spiked matrix model with generative priors
Benjamin Aubin
,
Bruno Loureiro
,
Antoine Maillard
,
Florent Krzakala
,
Lenka Zdeborová
2020
Pré-publication, Document de travail
hal-02983943v1
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Mean-field methods and algorithmic perspectives for high-dimensional machine learning
Benjamin Aubin
Disordered Systems and Neural Networks [cond-mat.dis-nn]. Université Paris-Saclay, 2020. English. ⟨NNT : 2020UPASP083⟩
Thèse
tel-03125117v1
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The committee machine: Computational to statistical gaps in learning a two-layers neural network
Benjamin Aubin
,
Antoine Maillard
,
Jean Barbier
,
Florent Krzakala
,
Nicolas Macris
,
et al.
Advances in Neural Information Processing Systems, 2018, 31, pp.3227-3238
Article dans une revue
cea-01933130v1
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Rademacher complexity and spin glasses: A link between the replica and statistical theories of learning
Alia Abbara
,
Benjamin Aubin
,
Florent Krzakala
,
Lenka Zdeborová
2020
Pré-publication, Document de travail
hal-02983936v1
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Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization
Benjamin Aubin
,
Florent Krzakala
,
Yue M. Lu
,
Lenka Zdeborová
2020
Pré-publication, Document de travail
hal-02983118v1
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Storage capacity in symmetric binary perceptrons
Benjamin Aubin
,
Will Perkins
,
Lenka Zdeborova
Article dans une revue
cea-02009773v1
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Exact asymptotics for phase retrieval and compressed sensing with random generative priors
Benjamin Aubin
,
Bruno Loureiro
,
Antoine Baker
,
Florent Krzakala
,
Lenka Zdeborová
Proceedings of Machine Learning Research, 2020, 107, pp.55-73
Article dans une revue
cea-02529402v2
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Rademacher complexity and spin glasses: A link between the replica and statistical theories of learning
Alia Abbara
,
Benjamin Aubin
,
Florent Krzakala
,
Lenka Zdeborová
2020
Pré-publication, Document de travail
hal-02983934v1
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