Beatriz Seoane

Publications

Article dans une revue (16)

Quantifying memory in spin glasses Ilaria Paga,Jian He,Marco Baity-Jesi,Enrico Calore,Andrés Cruzet al. Physical Review Letters, 2024, 133 (25), pp.256704. ⟨10.1103/PhysRevLett.133.256704⟩ Article dans une revue hal-04344048v1
The Copycat Perceptron: Smashing Barriers Through Collective Learning Giovanni Catania,Aurélien Decelle,Beatriz Seoane Physical Review E , 2024, 109 (6), pp.065313. ⟨10.1103/PhysRevE.109.065313⟩ Article dans une revue hal-04918895v1
Inferring effective couplings with Restricted Boltzmann Machines Aurélien Decelle,Cyril Furtlehner,Alfonso de Jesús Navas Gómez,Beatriz Seoane SciPost Physics, 2024, Scipost Physics, 16 (4), pp.095. ⟨10.21468/SciPostPhys.16.4.095⟩ Article dans une revue hal-04885720v1
Multifractality in spin glasses Marco Baity-Jesi,Enrico Calore,Andrés Cruz,Luis Antonio Fernández,José Miguel Gil-Narviónet al. Proceedings of the National Academy of Sciences of the United States of America, In press, 121 (2), pp.e2312880120. ⟨10.1073/pnas.2312880120⟩ Article dans une revue hal-04344056v1
Fast and Functional Structured Data Generators Rooted in Out-of-Equilibrium Physics Alessandra Carbone,Aurélien Decelle,Lorenzo Rosset,Beatriz Seoane IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 47 (2), pp.1309-1316. ⟨10.1109/TPAMI.2024.3495999⟩ Article dans une revue hal-04344041v1
Superposition principle and nonlinear response in spin glasses Ilaria Paga,Q. Zhai,Marco Baity-Jesi,Enrico Calore,Andrés Cruzet al. Physical Review B, 2023, 107, pp.214436. ⟨10.1103/PhysRevB.107.214436⟩ Article dans une revue hal-04344051v1
Unsupervised hierarchical clustering using the learning dynamics of restricted Boltzmann machines Aurélien Decelle,Beatriz Seoane,Lorenzo Rosset Physical Review E , 2023, 108 (1), pp.014110. ⟨10.1103/PhysRevE.108.014110⟩ Article dans une revue hal-04341820v1
Thermodynamics of bidirectional associative memories Adriano Barra,Giovanni Catania,Aurélien Decelle,Beatriz Seoane Journal of Physics A: Mathematical and Theoretical, 2023, 56 (20), pp.205005. ⟨10.1088/1751-8121/accc60⟩ Article dans une revue hal-04344065v2
Memory and rejuvenation effects in spin glasses are governed by more than one length scale Marco Baity-Jesi,Enrico Calore,Andrea Cruz,Luis Fernandez,José Miguel Gil-Narvionet al. Nature Physics, 2023, 19 (7), pp.978-985. ⟨10.1038/s41567-023-02014-6⟩ Article dans une revue hal-04341897v1
Learning a Restricted Boltzmann Machine using biased Monte Carlo sampling Nicolas Béreux,Aurélien Decelle,Cyril Furtlehner,Beatriz Seoane SciPost Physics, In press, 14 (3), pp.032. ⟨10.21468/SciPostPhys.14.3.032⟩ Article dans une revue hal-03795598v1
Soft disorder modulates the assembly path of protein complexes Beatriz Seoane,Alessandra Carbone PLoS Computational Biology, 2022, 18 (11), pp.e1010713. ⟨10.1371/journal.pcbi.1010713⟩ Article dans une revue hal-03911376v1
The complexity of protein interactions unravelled from structural disorder Beatriz Seoane,Alessandra Carbone PLoS Computational Biology, 2021, 17 (1), pp.e1008546. ⟨10.1371/journal.pcbi.1008546⟩ Article dans une revue hal-03911374v1
Learning a local symmetry with neural networks Aurélien Decelle,Victor Martin-Mayor,Beatriz Seoane Physical Review E , 2019, 100 (5), pp.050102. ⟨10.1103/PhysRevE.100.050102⟩ Article dans une revue hal-02403561v1
Spin-glass-like aging in colloidal and granular glasses Beatriz Seoane,Francesco Zamponi Soft Matter, 2018, 14 (25), pp.5222-5234. ⟨10.1039/C8SM00859K⟩ Article dans une revue hal-02323961v1
First-principles computation of random-pinning glass transition, glass cooperative length scales, and numerical comparisons Chiara Cammarota,Beatriz Seoane Physical Review B: Condensed Matter and Materials Physics (1998-2015), 2016, 94 (18), pp.180201(R. ⟨10.1103/PhysRevB.94.180201⟩ Article dans une revue hal-01402988v1
Growing timescales and lengthscales characterizing vibrations of amorphous solids Ludovic Berthier,Patrick Charbonneau,Yuliang Jin,Giorgio Parisi,Beatriz Seoaneet al. Proceedings of the National Academy of Sciences of the United States of America, 2016, 113 (30), pp.8397. ⟨10.1073/pnas.1607730113⟩ Article dans une revue hal-01360538v1

Communication dans un congrès (6)

A theoretical framework for overfitting in energy-based modeling Giovanni Catania,Aurélien Decelle,Cyril Furtlehner,Beatriz Seoane ICML 2025 - 42nd International Conference on Machine Learning, Jul 2025, Vancouver, Canada. pp.6891-6919 Communication dans un congrès hal-05466288v1
Fast training and sampling of Restricted Boltzmann Machines Nicolas Béreux,Aurélien Decelle,Cyril Furtlehner,Lorenzo Rosset,Beatriz Seoane 13th International Conference on Learning Representations - ICLR 2025, Apr 2025, Singaour, Singapore Communication dans un congrès hal-04885777v1
Cascade of phase transitions in the training of Energy-based models Dimitrios Bachtis,Giulio Biroli,Aurélien Decelle,Beatriz Seoane NeurIPS 2024 - 38th Annual Conference on Neural Information Processing Systems, Dec 2024, Vancouver, Canada. ⟨10.48550/arXiv.2405.14689⟩ Communication dans un congrès hal-04897693v1
Explaining the effects of non-convergent sampling in the training of Energy-Based Models Elisabeth Agoritsas,Giovanni Catania,Aurélien Decelle,Beatriz Seoane ICML 2023 - 40th International Conference on Machine Learning, Jul 2023, Honolulu, United States Communication dans un congrès hal-04344101v1
Fast and Functional structured data generator Alessandra Carbone,Aurélien Decelle,Lorenzo Rosset,Beatriz Seoane ICML 2023 - Workshop on Structured Probabilistic Inference & Generative Modeling, Jul 2023, Honolulu, United States Communication dans un congrès hal-04342214v1
Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines Aurélien Decelle,Cyril Furtlehner,Beatriz Seoane NeurIPS 2021, Dec 2021, Vancouver, United States Communication dans un congrès hal-03518796v1

Chapitre d'ouvrage (1)

Numerical Simulations and Replica Symmetry Breaking Víctor Martín-Mayor,Juan Ruiz-Lorenzo,Beatriz Seoane,A. Peter Young Spin Glass Theory and Far Beyond, WORLD SCIENTIFIC, pp.69-93, 2023, 978-981-12-7391-9. ⟨10.1142/9789811273926_0005⟩ Chapitre d'ouvrage hal-04341849v1

Pré-publication, Document de travail (3)

PRIVET: Privacy Metric Based On Extreme Value Theory Antoine Szatkownik,Aurélien Decelle,Beatriz Seoane,Nicolas Béreux,Léo Plancheet al. 2025 Pré-publication, Document de travail hal-05326013v1
The Copycat Perceptron: Smashing Barriers Through Collective Learning Giovanni Catania,Aurélien Decelle,Beatriz Seoane 2023 Pré-publication, Document de travail hal-04344030v1
Inferring effective couplings with Restricted Boltzmann Machines Aurélien Decelle,Cyril Furtlehner,Alfonso de Jesus Navas Gómez,Beatriz Seoane 2023 Pré-publication, Document de travail hal-04342280v1