Aurélien Decelle
Title
Cited by
Cited by
Year
Asymptotic analysis of the stochastic block model for modular networks and its algorithmic applications
A Decelle, F Krzakala, C Moore, L Zdeborová
Physical Review E 84 (6), 066106, 2011
6952011
Inference and phase transitions in the detection of modules in sparse networks
A Decelle, F Krzakala, C Moore, L Zdeborová
Physical Review Letters 107 (6), 065701, 2011
3392011
Pseudolikelihood decimation algorithm improving the inference of the interaction network in a general class of ising models
A Decelle, F Ricci-Tersenghi
Physical review letters 112 (7), 070603, 2014
652014
Archimedean lattices in the bound states of wave interacting particles
A Eddi, A Decelle, E Fort, Y Couder
EPL (Europhysics Letters) 87 (5), 56002, 2009
622009
Hierarchical random energy model of a spin glass
M Castellana, A Decelle, S Franz, M Mézard, G Parisi
Physical review letters 104 (12), 127206, 2010
552010
Spectral dynamics of learning in restricted Boltzmann machines
A Decelle, G Fissore, C Furtlehner
EPL (Europhysics Letters) 119 (6), 60001, 2017
262017
Message passing for optimization and control of a power grid: Model of a distribution system with redundancy
L Zdeborová, A Decelle, M Chertkov
Physical Review E 80 (4), 046112, 2009
262009
Thermodynamics of restricted Boltzmann machines and related learning dynamics
A Decelle, G Fissore, C Furtlehner
Journal of Statistical Physics 172 (6), 1576-1608, 2018
222018
Detection of cheating by decimation algorithm
S Yamanaka, M Ohzeki, A Decelle
Journal of the Physical Society of Japan 84 (2), 024801, 2015
172015
Inference of the sparse kinetic Ising model using the decimation method
A Decelle, P Zhang
Physical Review E 91 (5), 052136, 2015
142015
Extreme value statistics distributions in spin glasses
M Castellana, A Decelle, E Zarinelli
Physical review letters 107 (27), 275701, 2011
132011
T-ReX: a graph-based filament detection method
T Bonnaire, N Aghanim, A Decelle, M Douspis
Astronomy & Astrophysics 637, A18, 2020
122020
Solving the inverse Ising problem by mean-field methods in a clustered phase space with many states
A Decelle, F Ricci-Tersenghi
Physical Review E 94 (1), 012112, 2016
122016
Creating artificial human genomes using generative models
B Yelmen, A Decelle, L Ongaro, D Marnetto, C Tallec, F Montinaro, ...
bioRxiv, 769091, 2019
102019
Ensemble renormalization group for the random-field hierarchical model
A Decelle, G Parisi, J Rocchi
Physical Review E 89 (3), 032132, 2014
102014
Belief-propagation-guided monte-carlo sampling
A Decelle, F Krzakala
Physical Review B 89 (21), 214421, 2014
92014
Learning a local symmetry with neural networks
A Decelle, V Martin-Mayor, B Seoane
Physical review E 100 (5), 050102, 2019
82019
Gaussian-spherical restricted Boltzmann machines
A Decelle, C Furtlehner
Journal of Physics A: Mathematical and Theoretical 53 (18), 184002, 2020
62020
Data quality for the inverse lsing problem
A Decelle, F Ricci-Tersenghi, P Zhang
Journal of Physics A: Mathematical and Theoretical 49 (38), 384001, 2016
62016
Creating artificial human genomes using generative neural networks
B Yelmen, A Decelle, L Ongaro, D Marnetto, C Tallec, F Montinaro, ...
PLoS genetics 17 (2), e1009303, 2021
52021
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Articles 1–20