Aurélien Decelle
Affiliations: | 2008-2011 | Université Paris-Sud 11, Orsay, Bures-sur-Yvette, Île-de-France, France |
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Publications
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| Decelle A, Furtlehner C. (2020) Gaussian-spherical restricted Boltzmann machines Journal of Physics a: Mathematical and Theoretical. 53: 184002 |
| Bonnaire T, Aghanim N, Decelle A, et al. (2020) T-ReX: a graph-based filament detection method Astronomy & Astrophysics. 637: A18 |
| Decelle A, Martin-Mayor V, Seoane B. (2019) Learning a local symmetry with neural networks. Physical Review. E. 100: 050102 |
| Decelle A, Fissore G, Furtlehner C. (2018) Thermodynamics of Restricted Boltzmann Machines and Related Learning Dynamics Journal of Statistical Physics. 172: 1576-1608 |
| Decelle A, Ricci-Tersenghi F. (2016) Solving the inverse Ising problem by mean-field methods in a clustered phase space with many states. Physical Review. E. 94: 012112 |
| Furtlehner C, Decelle A. (2016) Cycle-Based Cluster Variational Method for Direct and Inverse Inference Journal of Statistical Physics. 164: 531-574 |
| Decelle A, Zhang P. (2015) Inference of the sparse kinetic Ising model using the decimation method. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 91: 052136 |
| Yamanaka S, Ohzeki M, Decelle A. (2015) Detection of cheating by decimation algorithm Journal of the Physical Society of Japan. 84 |
| Decelle A, Parisi G, Rocchi J. (2014) Ensemble renormalization group for the random-field hierarchical model. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 89: 032132 |
| Decelle A, Ricci-Tersenghi F. (2014) Pseudolikelihood decimation algorithm improving the inference of the interaction network in a general class of Ising models. Physical Review Letters. 112: 070603 |