AURELIEN FABRICE
DECELLE
Investigador postdoctoral
Publicaciones (38) Publicaciones de AURELIEN FABRICE DECELLE
2024
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Copycat perceptron: Smashing barriers through collective learning
Physical Review E, Vol. 109, Núm. 6
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Inferring effective couplings with restricted Boltzmann machines
SciPost Physics, Vol. 16, Núm. 4
2023
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An Introduction to Machine Learning: a perspective from Statistical Physics
Physica A: Statistical Mechanics and its Applications, Vol. 631
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Cosmology with cosmic web environments: II. Redshift-space auto and cross-power spectra
Astronomy and Astrophysics, Vol. 674
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Deep convolutional and conditional neural networks for large-scale genomic data generation
PLoS Computational Biology, Vol. 19, Núm. 10
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Explaining the effects of non-convergent MCMC in the training of Energy-Based Models
Proceedings of Machine Learning Research
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Learning a restricted Boltzmann machine using biased Monte Carlo sampling
SciPost Physics, Vol. 14, Núm. 3
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Thermodynamics of bidirectional associative memories
Journal of Physics A: Mathematical and Theoretical, Vol. 56, Núm. 20
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Unsupervised hierarchical clustering using the learning dynamics of restricted Boltzmann machines
Physical Review E, Vol. 108, Núm. 1
2022
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Cosmology with cosmic web environments: I. Real-space power spectra
Astronomy and Astrophysics, Vol. 661
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Equilibrium and non-equilibrium regimes in the learning of restricted Boltzmann machines
Journal of Statistical Mechanics: Theory and Experiment, Vol. 2022, Núm. 11
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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
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Cascade of phase transitions for multiscale clustering
Physical Review E, Vol. 103, Núm. 1
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Creating artificial human genomes using generative neural networks
PLoS Genetics, Vol. 17, Núm. 2
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Encoding large-scale cosmological structure with generative adversarial networks
Astronomy and Astrophysics, Vol. 651
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Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines
Advances in Neural Information Processing Systems
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Exact Training of Restricted Boltzmann Machines on Intrinsically Low Dimensional Data
Physical Review Letters, Vol. 127, Núm. 15
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Inverse problems for structured datasets using parallel TAP equations and restricted Boltzmann machines
Scientific Reports, Vol. 11, Núm. 1
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Restricted Boltzmann machine: Recent advances and mean-field theory
Chinese Physics B, Vol. 30, Núm. 4
2020
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Gaussian-spherical restricted Boltzmann machines
Journal of Physics A: Mathematical and Theoretical, Vol. 53, Núm. 18