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Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review

Minh Tri Lê , Pierre Wolinski , Julyan Arbel
2023
Pré-publication, Document de travail hal-04296440v1
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Interpreting a Penalty as the Influence of a Bayesian Prior

Pierre Wolinski , Guillaume Charpiat , Yann Ollivier
2020
Pré-publication, Document de travail hal-02466702v1
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Imposing Gaussian Pre-Activations in a Neural Network

Pierre Wolinski , Julyan Arbel
JDS 2022 - 53es Journées de Statistique de la Société Française de Statistiques (SFdS), Jun 2022, Lyon, France
Communication dans un congrès hal-03853790v1
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Gaussian Pre-Activations in Neural Networks: Myth or Reality?

Pierre Wolinski , Julyan Arbel
2023
Pré-publication, Document de travail hal-03933169v2
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Learning with Random Learning Rates

Léonard Blier , Pierre Wolinski , Yann Ollivier
ECML PKDD 2019 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2019, Würzburg, Germany
Communication dans un congrès hal-01888352v1
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Rethinking Gauss-Newton for learning over-parameterized models

Michael Arbel , Romain Ménégaux , Pierre Wolinski
NeurIPS 2023 - Thirty-seventh Conference on Neural Information Processing Systems, Dec 2023, La Nouvelle-Orléans, United States. pp.1-24
Communication dans un congrès hal-04362139v1