Year |
Citation |
Score |
2020 |
Decelle A, Furtlehner C. Gaussian-spherical restricted Boltzmann machines Journal of Physics a: Mathematical and Theoretical. 53: 184002. DOI: 10.1088/1751-8121/Ab79F3 |
0.349 |
|
2020 |
Bonnaire T, Aghanim N, Decelle A, Douspis M. T-ReX: a graph-based filament detection method Astronomy & Astrophysics. 637: A18. DOI: 10.1051/0004-6361/201936859 |
0.343 |
|
2019 |
Decelle A, Martin-Mayor V, Seoane B. Learning a local symmetry with neural networks. Physical Review. E. 100: 050102. PMID 31869906 DOI: 10.1103/Physreve.100.050102 |
0.318 |
|
2018 |
Decelle A, Fissore G, Furtlehner C. Thermodynamics of Restricted Boltzmann Machines and Related Learning Dynamics Journal of Statistical Physics. 172: 1576-1608. DOI: 10.1007/S10955-018-2105-Y |
0.35 |
|
2016 |
Decelle A, Ricci-Tersenghi F. Solving the inverse Ising problem by mean-field methods in a clustered phase space with many states. Physical Review. E. 94: 012112. PMID 27575082 DOI: 10.1103/Physreve.94.012112 |
0.33 |
|
2016 |
Furtlehner C, Decelle A. Cycle-Based Cluster Variational Method for Direct and Inverse Inference Journal of Statistical Physics. 164: 531-574. DOI: 10.1007/S10955-016-1566-0 |
0.312 |
|
2015 |
Decelle A, Zhang P. Inference of the sparse kinetic Ising model using the decimation method. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 91: 052136. PMID 26066148 DOI: 10.1103/Physreve.91.052136 |
0.386 |
|
2015 |
Yamanaka S, Ohzeki M, Decelle A. Detection of cheating by decimation algorithm Journal of the Physical Society of Japan. 84. DOI: 10.7566/Jpsj.84.024801 |
0.301 |
|
2014 |
Decelle A, Parisi G, Rocchi J. Ensemble renormalization group for the random-field hierarchical model. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 89: 032132. PMID 24730815 DOI: 10.1103/Physreve.89.032132 |
0.504 |
|
2014 |
Decelle A, Ricci-Tersenghi F. Pseudolikelihood decimation algorithm improving the inference of the interaction network in a general class of Ising models. Physical Review Letters. 112: 070603. PMID 24579583 DOI: 10.1103/Physrevlett.112.070603 |
0.448 |
|
2014 |
Decelle A, Krzakala F. Belief-propagation-guided Monte-Carlo sampling Physical Review B. 89. DOI: 10.1103/Physrevb.89.214421 |
0.36 |
|
2011 |
Decelle A, Krzakala F, Moore C, Zdeborová L. Asymptotic analysis of the stochastic block model for modular networks and its algorithmic applications. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 84: 066106. PMID 22304154 DOI: 10.1103/Physreve.84.066106 |
0.375 |
|
2011 |
Castellana M, Decelle A, Zarinelli E. Extreme value statistics distributions in spin glasses. Physical Review Letters. 107: 275701. PMID 22243317 DOI: 10.1103/Physrevlett.107.275701 |
0.46 |
|
2011 |
Decelle A, Krzakala F, Moore C, Zdeborová L. Inference and phase transitions in the detection of modules in sparse networks. Physical Review Letters. 107: 065701. PMID 21902340 DOI: 10.1103/Physrevlett.107.065701 |
0.368 |
|
2010 |
Castellana M, Decelle A, Franz S, Mézard M, Parisi G. Hierarchical random energy model of a spin glass. Physical Review Letters. 104: 127206. PMID 20366564 DOI: 10.1103/Physrevlett.104.127206 |
0.63 |
|
2009 |
Zdeborová L, Decelle A, Chertkov M. Message passing for optimization and control of a power grid: model of a distribution system with redundancy. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 80: 046112. PMID 19905395 DOI: 10.1103/Physreve.80.046112 |
0.328 |
|
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