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Decelle, Aurelien Fabrice aurelien.decelle@upm.es

MATEMÁTICA APLICADA / Universidad Politécnica de Madrid

Actividades

Cascade of phase transitions in the training of energy-based models

  • Bachtis, D
  • Biroli, G
  • Decelle, A
  • Seoane, B

Journal Of Statistical Mechanics-Theory And Experiment - 1/7/2025

10.1088/1742-5468/adec64 Ver en origen

  • ISSN 17425468

Explaining the effects of non-convergent sampling in the training of energy-based models*

  • Agoritsas, Elisabeth
  • Catania, Giovanni
  • Decelle, Aurelien
  • Seoane, Beatriz

Journal Of Statistical Mechanics-Theory And Experiment (p. 064001-064001) - 1/6/2025

10.1088/1742-5468/adde41 Ver en origen

  • ISSN 17425468

Fast and Functional Structured Data Generators Rooted in Out-of-Equilibrium Physics

  • Carbone, Alessandra
  • Decelle, Aurelien
  • Rosset, Lorenzo
  • Seoane, Beatriz

Ieee Transactions On Pattern Analysis And Machine Intelligence (p. 1309-1316) - 1/2/2025

10.1109/tpami.2024.3495999 Ver en origen

  • ISSN 01628828

On the role of non-linear latent features in bipartite generative neural networks

  • Bonnaire, T
  • Catania, G
  • Decelle, A
  • Seoane, B

Scipost Physics - 1/12/2025

10.21468/scipostphys.19.6.141 Ver en origen

  • ISSN 25424653

Inferring Higher-Order Couplings with Neural Networks

  • Decelle, A
  • Gomez, ADN
  • Seoane, B

Physical Review Letters - 12/11/2025

10.1103/lyny-6r9y Ver en origen

  • ISSN 00319007

Inferring High-Order Couplings with Neural Networks

  • A Decelle
  • AJN Gómez
  • B Seoane

Arxiv Preprint Arxiv: - 1/1/2025

  • iMarina

A theoretical framework for overfitting in energy-based modeling

  • G Catania
  • A Decelle
  • C Furtlehner
  • B Seoane

Arxiv Preprint Arxiv: - 1/1/2025

  • iMarina

On the role of non-linear latent features in bipartite generative neural networks

  • T Bonnaire
  • G Catania
  • A Decelle
  • B Seoane

Arxiv Preprint Arxiv: - 1/1/2025

  • iMarina

Copycat perceptron: Smashing barriers through collective learning

  • Catania, Giovanni
  • Decelle, Aurelien
  • Seoane, Beatriz

Physical Review e - 28/6/2024

10.1103/physreve.109.065313 Ver en origen

  • ISSN 1063651X

Inferring effective couplings with restricted Boltzmann machines

  • Decelle, Aurelien
  • Furtlehner, Cyril
  • Gomez, Alfonso De Jesus Navas
  • Seoane, Beatriz

Scipost Physics - 1/4/2024

10.21468/scipostphys.16.4.095 Ver en origen

  • ISSN 25424653

Este/a investigador/a no tiene libros.

Este/a investigador/a no tiene capítulos de libro.

FAST TRAINING AND SAMPLING OF RESTRICTED BOLTZMANN MACHINES

  • Béreux
  • N
  • Decelle
  • A
  • Furtlehner
  • C
  • Rosset
  • L
  • Seoane
  • B
... Ver más Contraer

Int. Conf. Learn. Represent., Iclr (p. 5760-5793) - 1/1/2025

  • iMarina

A Theoretical Framework For Overfitting In Energy-based Modeling

  • Catania
  • G
  • Decelle
  • A
  • Furtlehner
  • C
  • Seoane
  • B
... Ver más Contraer

Proceedings Of Machine Learning Research (p. 6891-6919) - 1/1/2025

  • iMarina

Cascade of phase transitions in the training of Energy-based models

  • Bachtis
  • D
  • Biroli
  • G
  • Decelle
  • A
  • Seoane
  • B
... Ver más Contraer

Advances In Neural Information Processing Systems - 1/1/2024

  • ISSN 10495258
  • iMarina

Explaining the effects of non-convergent MCMC in the training of Energy-Based Models

  • Agoritsas, Elisabeth
  • Catania, Giovanni
  • Decelle, Aurelien
  • Seoane, Beatriz

Critical Care Medicine (p. 322-336) - 1/1/2023

  • ISSN 00903493
  • iMarina

Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines

  • Decelle, Aurelien
  • Furtlehner, Cyril
  • Seoane, Beatriz

Advances In Neural Information Processing Systems (p. 5345-5359) - 1/1/2021

  • ISSN 10495258
  • iMarina

Creating artificial human genomes using generative neural networks

  • Yelmen, B
  • Decelle, A
  • Ongaro, L
  • Marnetto, D
  • Tallec, C
  • Montinaro, F
  • Furtlehner, C
  • Pagani, L
  • Jay, F
... Ver más Contraer

European Journal Of Human Genetics (p. 591-592) - 1/12/2020

  • ISSN 10184813
  • iMarina

Robust multi-output learning with highly incomplete data via restricted boltzmann machines

  • Fissore
  • G
  • Decelle
  • A
  • Furtlehner
  • C
  • Han
  • Y
... Ver más Contraer

Ceur Workshop Proceedings - 1/1/2020

  • ISSN 16130073
  • iMarina

Este/a investigador/a no tiene documentos de trabajo.

Este/a investigador/a no tiene informes técnicos.

Disordered Physics for Biology and Artificial Intelligence

  • DECELLE, AURELIEN FABRICE (Autor o Coautor)

Ejecución: 20-07-2022 - 19-07-2023

  • iMarina

Física Estadística de modelos basados en una energía

  • DECELLE, AURELIEN FABRICE (Investigador principal (IP))

Ejecución: Desde 01-01-2022

Tipo: Nacional

Importe financiado: 78650,00 Euros.

  • iMarina

Este/a investigador/a no tiene tesis dirigidas.

Este/a investigador/a no tiene patentes o licencias de software.

Última actualización de los datos: 26/02/26 11:08