Aurélien Decelle

39 papers A* 5Journal 33Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The Symmetric Perceptron: a Teacher-Student Scenario. CoRR Giovanni Catania, Aurélien Decelle, Suhanee Korpe
2025	A*	`conf`	A Theoretical Framework For Overfitting In Energy-based Modeling. ICML Giovanni Catania, Aurélien Decelle, Cyril Furtlehner, Beatriz Seoane
2025	J	`jnl`	A theoretical framework for overfitting in energy-based modeling. CoRR Giovanni Catania, Aurélien Decelle, Cyril Furtlehner, Beatriz Seoane
2025	J	`jnl`	Fast and Functional Structured Data Generators Rooted in Out-of-Equilibrium Physics. IEEE Trans. Pattern Anal. Mach. Intell. Alessandra Carbone, Aurélien Decelle, Lorenzo Rosset, Beatriz Seoane
2025	A*	`conf`	Fast training and sampling of Restricted Boltzmann Machines. ICLR Nicolas Béreux, Aurélien Decelle, Cyril Furtlehner, Lorenzo Rosset, Beatriz Seoane
2025	J	`jnl`	Inferring High-Order Couplings with Neural Networks. CoRR Aurélien Decelle, Alfonso De Jesus Navas Gómez, Beatriz Seoane
2025	J	`jnl`	On the role of non-linear latent features in bipartite generative neural networks. CoRR Tony Bonnaire, Giovanni Catania, Aurélien Decelle, Beatriz Seoane
2025	J	`jnl`	PRIVET: Privacy Metric Based on Extreme Value Theory. CoRR Antoine Szatkownik, Aurélien Decelle, Beatriz Seoane, Nicolas Béreux, Léo Planche, Guillaume Charpiat, Burak Yelmen, Flora Jay, Cyril Furtlehner
2024	J	`jnl`	Cascade of phase transitions in the training of Energy-based models. CoRR Dimitrios Bachtis, Giulio Biroli, Aurélien Decelle, Beatriz Seoane
2024	A*	`conf`	Cascade of phase transitions in the training of energy-based models. NeurIPS Dimitrios Bachtis, Giulio Biroli, Aurélien Decelle, Beatriz Seoane
2024	J	`jnl`	Fast, accurate training and sampling of Restricted Boltzmann Machines. CoRR Nicolas Béreux, Aurélien Decelle, Cyril Furtlehner, Lorenzo Rosset, Beatriz Seoane
2024	J	`jnl`	Predicting large scale cosmological structure evolution with GAN-based autoencoders. CoRR Marion Ullmo, Nabila Aghanim, Aurélien Decelle, Miguel Aragon-Calvo
2023	J	`jnl`	Deep convolutional and conditional neural networks for large-scale genomic data generation. PLoS Comput. Biol. Burak Yelmen, Aurélien Decelle, Leila Lea Boulos, Antoine Szatkownik, Cyril Furtlehner, Guillaume Charpiat, Flora Jay
2023	A*	`conf`	Explaining the effects of non-convergent MCMC in the training of Energy-Based Models. ICML Elisabeth Agoritsas, Giovanni Catania, Aurélien Decelle, Beatriz Seoane
2023	J	`jnl`	Explaining the effects of non-convergent sampling in the training of Energy-Based Models. CoRR Elisabeth Agoritsas, Giovanni Catania, Aurélien Decelle, Beatriz Seoane
2023	J	`jnl`	Fast and Functional Structured Data Generators Rooted in Out-of-Equilibrium Physics. CoRR Alessandra Carbone, Aurélien Decelle, Lorenzo Rosset, Beatriz Seoane
2023	J	`jnl`	Inferring effective couplings with Restricted Boltzmann Machines. CoRR Aurélien Decelle, Cyril Furtlehner, Alfonso De Jesus Navas Gómez, Beatriz Seoane
2023	J	`jnl`	The Copycat Perceptron: Smashing Barriers Through Collective Learning. CoRR Giovanni Catania, Aurélien Decelle, Beatriz Seoane
2023	J	`jnl`	Unsupervised hierarchical clustering using the learning dynamics of RBMs. CoRR Aurélien Decelle, Lorenzo Rosset, Beatriz Seoane
2022	J	`jnl`	Learning a Restricted Boltzmann Machine using biased Monte Carlo sampling. CoRR Nicolas Béreux, Aurélien Decelle, Cyril Furtlehner, Beatriz Seoane
2022	J	`jnl`	Regularization of Mixture Models for Robust Principal Graph Learning. IEEE Trans. Pattern Anal. Mach. Intell. Tony Bonnaire, Aurélien Decelle, Nabila Aghanim
2022	J	`jnl`	The mighty force: statistical inference and high-dimensional statistics. CoRR Erik Aurell, Jean Barbier, Aurélien Decelle, Roberto Mulet
2022	J	`jnl`	Thermodynamics of bidirectional associative memories. CoRR Adriano Barra, Giovanni Catania, Aurélien Decelle, Beatriz Seoane
2021	A*	`conf`	Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines. NeurIPS Aurélien Decelle, Cyril Furtlehner, Beatriz Seoane
2021	J	`jnl`	Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines. CoRR Aurélien Decelle, Cyril Furtlehner, Beatriz Seoane
2021	J	`jnl`	Regularization of Mixture Models for Robust Principal Graph Learning. CoRR Tony Bonnaire, Aurélien Decelle, Nabila Aghanim
2020	J	`jnl`	Cascade of Phase Transitions for Multi-Scale Clustering. CoRR Tony Bonnaire, Aurélien Decelle, Nabila Aghanim
2020	J	`jnl`	Encoding large scale cosmological structure with Generative Adversarial Networks. CoRR Marion Ullmo, Aurélien Decelle, Nabila Aghanim
2020	J	`jnl`	Restricted Boltzmann Machine, recent advances and mean-field theory. CoRR Aurélien Decelle, Cyril Furtlehner
2020	—	`conf`	Robust Multi-Output Learning with Highly Incomplete Data via Restricted Boltzmann Machines. STAIRS@ECAI Giancarlo Fissore, Yufei Han, Aurélien Decelle, Cyril Furtlehner
2019	J	`jnl`	Gaussian-Spherical Restricted Boltzmann Machines. CoRR Aurélien Decelle, Cyril Furtlehner
2019	J	`jnl`	Learning a Gauge Symmetry with Neural Networks. CoRR Aurélien Decelle, Victor Martin-Mayor, Beatriz Seoane
2019	J	`jnl`	Robust Multi-Output Learning with Highly Incomplete Data via Restricted Boltzmann Machines. CoRR Giancarlo Fissore, Aurélien Decelle, Cyril Furtlehner, Yufei Han
2018	J	`jnl`	Thermodynamics of Restricted Boltzmann Machines and related learning dynamics. CoRR Aurélien Decelle, Giancarlo Fissore, Cyril Furtlehner
2017	J	`jnl`	Spectral Learning of Restricted Boltzmann Machines. CoRR Aurélien Decelle, Giancarlo Fissore, Cyril Furtlehner
2014	J	`jnl`	Computational Complexity, Phase Transitions, and Message-Passing for Community Detection. CoRR Aurélien Decelle, Janina Hüttel, Alaa Saade, Cristopher Moore
2014	J	`jnl`	Detection of cheating by decimation algorithm. CoRR Shogo Yamanaka, Masayuki Ohzeki, Aurélien Decelle
2011	J	`jnl`	Asymptotic analysis of the stochastic block model for modular networks and its algorithmic applications CoRR Aurélien Decelle, Florent Krzakala, Cristopher Moore, Lenka Zdeborová
2011	J	`jnl`	Phase transition in the detection of modules in sparse networks CoRR Aurélien Decelle, Florent Krzakala, Cristopher Moore, Lenka Zdeborová