Publicaciones en colaboración con investigadores/as de University of Paris-Saclay (15)

2023

  1. Deep convolutional and conditional neural networks for large-scale genomic data generation

    PLoS Computational Biology, Vol. 19, Núm. 10

2022

  1. Cosmology with cosmic web environments: I. Real-space power spectra

    Astronomy and Astrophysics, Vol. 661

  2. Equilibrium and non-equilibrium regimes in the learning of restricted Boltzmann machines

    Journal of Statistical Mechanics: Theory and Experiment, Vol. 2022, Núm. 11

  3. Regularization of Mixture Models for Robust Principal Graph Learning

    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 44, Núm. 12, pp. 9119-9130

2021

  1. Cascade of phase transitions for multiscale clustering

    Physical Review E, Vol. 103, Núm. 1

  2. Encoding large-scale cosmological structure with generative adversarial networks

    Astronomy and Astrophysics, Vol. 651

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

    Advances in Neural Information Processing Systems

  4. Exact Training of Restricted Boltzmann Machines on Intrinsically Low Dimensional Data

    Physical Review Letters, Vol. 127, Núm. 15

  5. Inverse problems for structured datasets using parallel TAP equations and restricted Boltzmann machines

    Scientific Reports, Vol. 11, Núm. 1

  6. Restricted Boltzmann machine: Recent advances and mean-field theory

    Chinese Physics B, Vol. 30, Núm. 4

2020

  1. Gaussian-spherical restricted Boltzmann machines

    Journal of Physics A: Mathematical and Theoretical, Vol. 53, Núm. 18

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

    CEUR Workshop Proceedings

  3. T-ReX: A graph-based filament detection method

    Astronomy and Astrophysics, Vol. 637

2011

  1. Asymptotic analysis of the stochastic block model for modular networks and its algorithmic applications

    Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, Vol. 84, Núm. 6

  2. Inference and phase transitions in the detection of modules in sparse networks

    Physical Review Letters, Vol. 107, Núm. 6