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ORCIDAurélien Decelle
Person information
- affiliation: Complutense University of Madrid, Spain
- affiliation: University of Paris-Saclay, Paris, France
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Journal Articles
- 2023
[j2]Burak Yelmen
, Aurélien Decelle, Leila Lea Boulos, Antoine Szatkownik, Cyril Furtlehner, Guillaume Charpiat, Flora Jay:
Deep convolutional and conditional neural networks for large-scale genomic data generation. PLoS Comput. Biol. 19(10) (2023)- 2022
- [j1]Tony Bonnaire, Aurélien Decelle, Nabila Aghanim:
Regularization of Mixture Models for Robust Principal Graph Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9119-9130 (2022)
Conference and Workshop Papers
- 2023
- [c3]Elisabeth Agoritsas, Giovanni Catania, Aurélien Decelle, Beatriz Seoane:
Explaining the effects of non-convergent MCMC in the training of Energy-Based Models. ICML 2023: 322-336 - 2021
- [c2]Aurélien Decelle, Cyril Furtlehner, Beatriz Seoane:
Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines. NeurIPS 2021: 5345-5359 - 2020
- [c1]Giancarlo Fissore, Yufei Han, Aurélien Decelle, Cyril Furtlehner:
Robust Multi-Output Learning with Highly Incomplete Data via Restricted Boltzmann Machines. STAIRS@ECAI 2020
Informal and Other Publications
- 2024
- [i25]Marion Ullmo, Nabila Aghanim, Aurélien Decelle, Miguel Aragon-Calvo:
Predicting large scale cosmological structure evolution with GAN-based autoencoders. CoRR abs/2403.02171 (2024) - [i24]Dimitrios Bachtis, Giulio Biroli, Aurélien Decelle, Beatriz Seoane:
Cascade of phase transitions in the training of Energy-based models. CoRR abs/2405.14689 (2024) - [i23]Nicolas Béreux, Aurélien Decelle, Cyril Furtlehner, Lorenzo Rosset, Beatriz Seoane:
Fast, accurate training and sampling of Restricted Boltzmann Machines. CoRR abs/2405.15376 (2024) - 2023
- [i22]Elisabeth Agoritsas, Giovanni Catania, Aurélien Decelle, Beatriz Seoane:
Explaining the effects of non-convergent sampling in the training of Energy-Based Models. CoRR abs/2301.09428 (2023) - [i21]Aurélien Decelle, Lorenzo Rosset, Beatriz Seoane:
Unsupervised hierarchical clustering using the learning dynamics of RBMs. CoRR abs/2302.01851 (2023) - [i20]Alessandra Carbone, Aurélien Decelle, Lorenzo Rosset, Beatriz Seoane:
Fast and Functional Structured Data Generators Rooted in Out-of-Equilibrium Physics. CoRR abs/2307.06797 (2023) - [i19]Giovanni Catania, Aurélien Decelle, Beatriz Seoane:
The Copycat Perceptron: Smashing Barriers Through Collective Learning. CoRR abs/2308.03743 (2023) - [i18]Aurélien Decelle, Cyril Furtlehner, Alfonso De Jesus Navas Gómez, Beatriz Seoane:
Inferring effective couplings with Restricted Boltzmann Machines. CoRR abs/2309.02292 (2023) - 2022
- [i17]Erik Aurell, Jean Barbier, Aurélien Decelle, Roberto Mulet:
The mighty force: statistical inference and high-dimensional statistics. CoRR abs/2205.00750 (2022) - [i16]Nicolas Béreux, Aurélien Decelle, Cyril Furtlehner, Beatriz Seoane:
Learning a Restricted Boltzmann Machine using biased Monte Carlo sampling. CoRR abs/2206.01310 (2022) - [i15]Adriano Barra, Giovanni Catania, Aurélien Decelle, Beatriz Seoane:
Thermodynamics of bidirectional associative memories. CoRR abs/2211.09694 (2022) - 2021
- [i14]Aurélien Decelle, Cyril Furtlehner, Beatriz Seoane:
Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines. CoRR abs/2105.13889 (2021) - [i13]Tony Bonnaire, Aurélien Decelle, Nabila Aghanim:
Regularization of Mixture Models for Robust Principal Graph Learning. CoRR abs/2106.09035 (2021) - 2020
- [i12]Tony Bonnaire, Aurélien Decelle, Nabila Aghanim:
Cascade of Phase Transitions for Multi-Scale Clustering. CoRR abs/2010.07955 (2020) - [i11]Marion Ullmo, Aurélien Decelle, Nabila Aghanim:
Encoding large scale cosmological structure with Generative Adversarial Networks. CoRR abs/2011.05244 (2020) - [i10]Aurélien Decelle, Cyril Furtlehner:
Restricted Boltzmann Machine, recent advances and mean-field theory. CoRR abs/2011.11307 (2020) - 2019
- [i9]Aurélien Decelle, Victor Martin-Mayor, Beatriz Seoane:
Learning a Gauge Symmetry with Neural Networks. CoRR abs/1904.07637 (2019) - [i8]Aurélien Decelle, Cyril Furtlehner:
Gaussian-Spherical Restricted Boltzmann Machines. CoRR abs/1910.14544 (2019) - [i7]Giancarlo Fissore, Aurélien Decelle, Cyril Furtlehner, Yufei Han:
Robust Multi-Output Learning with Highly Incomplete Data via Restricted Boltzmann Machines. CoRR abs/1912.09382 (2019) - 2018
- [i6]Aurélien Decelle, Giancarlo Fissore, Cyril Furtlehner:
Thermodynamics of Restricted Boltzmann Machines and related learning dynamics. CoRR abs/1803.01960 (2018) - 2017
- [i5]Aurélien Decelle, Giancarlo Fissore, Cyril Furtlehner:
Spectral Learning of Restricted Boltzmann Machines. CoRR abs/1708.02917 (2017) - 2014
- [i4]Aurélien Decelle, Janina Hüttel, Alaa Saade, Cristopher Moore:
Computational Complexity, Phase Transitions, and Message-Passing for Community Detection. CoRR abs/1409.2290 (2014) - [i3]Shogo Yamanaka, Masayuki Ohzeki, Aurélien Decelle:
Detection of cheating by decimation algorithm. CoRR abs/1410.3596 (2014) - 2011
- [i2]Aurélien Decelle, Florent Krzakala, Cristopher Moore, Lenka Zdeborová:
Phase transition in the detection of modules in sparse networks. CoRR abs/1102.1182 (2011) - [i1]Aurélien Decelle, Florent Krzakala, Cristopher Moore, Lenka Zdeborová:
Asymptotic analysis of the stochastic block model for modular networks and its algorithmic applications. CoRR abs/1109.3041 (2011)
Coauthor Index
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