Affichage des résultats 1 à 6 sur 6 au total
Systèmes désordonnés et réseaux de neurones : 1 à 6 sur 6 au total
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Article dans une revue
Aurélien Decelle. Fundamental problems in Statistical Physics XV: Lecture on Machine Learning. Physica A: Statistical Mechanics and its Applications, 2022, pp.128154. ⟨10.1016/j.physa.2022.128154⟩. ⟨hal-03795587⟩
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Chapitre d'ouvrage
Erik Aurell, Jean Barbier, Aurélien Decelle, Roberto Mulet. The mighty force: statistical inference and high-dimensional statistics. Spin Glass Theory & Far Beyond - Replica Symmetry Breaking after 40 Years, World Scientific, In press, ⟨10.48550/arXiv.2205.00750⟩. ⟨hal-03795572⟩
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Communication dans un congrès
Giancarlo Fissore, Aurelien Decelle, Cyril Furtlehner, Yufei Han. Robust Multi-Output Learning with Highly Incomplete Data via Restricted Boltzmann Machines. European Starting AI Researchers' Symposium 2020, Aug 2020, Santiago Compostela, Spain. ⟨hal-02420824⟩
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Article dans une revue
Aurélien Decelle. The Boltzmann Machine: when the Ising model meet Machine Learning. Ithaca: Viaggio nella Scienza, 2020. ⟨hal-03143397⟩
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Article dans une revue
Rahul N Chacko, François P. Landes, Giulio Biroli, Olivier Dauchot, Andrea J Liu, et al.. Elastoplasticity Mediates Dynamical Heterogeneity Below the Mode-Coupling Temperature. Physical Review Letters, 2021, 127 (4), ⟨10.1103/PhysRevLett.127.048002⟩. ⟨hal-03345449⟩
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Article dans une revue
Aurélien Decelle, Tony Bonnaire, Nabila Aghanim. Regularization of Mixture Models for Robust Principal Graph Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, pp.1-1. ⟨10.1109/TPAMI.2021.3124973⟩. ⟨hal-03477742⟩