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2020 – today
- 2024
[c2]Jorge Fernandez-de-Cossío-Diaz, Clément Roussel, Simona Cocco, Rémi Monasson:
Accelerated Sampling with Stacked Restricted Boltzmann Machines. ICLR 2024- [c1]Emanuele Loffredo, Mauro Pastore, Simona Cocco, Rémi Monasson:
Restoring balance: principled under/oversampling of data for optimal classification. ICML 2024 - [i9]Emanuele Loffredo, Mauro Pastore, Simona Cocco, Rémi Monasson:
Restoring balance: principled under/oversampling of data for optimal classification. CoRR abs/2405.09535 (2024) - 2023
- [j17]Lorenzo Posani
, Francesca Rizzato, Rémi Monasson, Simona Cocco:
Infer global, predict local: Quantity-relevance trade-off in protein fitness predictions from sequence data. PLoS Comput. Biol. 19(10) (2023) - [j16]Cyril Malbranke, William Rostain, Florence Depardieu, Simona Cocco, Rémi Monasson, David Bikard:
Computational design of novel Cas9 PAM-interacting domains using evolution-based modelling and structural quality assessment. PLoS Comput. Biol. 19(11) (2023) - 2022
- [j15]Andrea Di Gioacchino, Jonah Procyk, Marco Molari, John S. Schreck, Yu Zhou, Yan Liu, Rémi Monasson, Simona Cocco, Petr Sulc:
Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection. PLoS Comput. Biol. 18(9): 1010561 (2022) - [i8]Jorge Fernandez-de-Cossío-Diaz, Simona Cocco, Rémi Monasson:
Disentangling representations in Restricted Boltzmann Machines without adversaries. CoRR abs/2206.11600 (2022) - 2021
- [j14]Cyril Malbranke, David Bikard, Simona Cocco, Rémi Monasson:
Improving sequence-based modeling of protein families using secondary-structure quality assessment. Bioinform. 37(22): 4083-4090 (2021) - [j13]Steven Schulz, Sebastien Boyer, Matteo Smerlak, Simona Cocco, Rémi Monasson, Clément Nizak, Olivier Rivoire:
Parameters and determinants of responses to selection in antibody libraries. PLoS Comput. Biol. 17(3) (2021) - [j12]Barbara Bravi, Vinod P. Balachandran, Benjamin D. Greenbaum, Aleksandra M. Walczak, Thierry Mora, Rémi Monasson, Simona Cocco:
Probing T-cell response by sequence-based probabilistic modeling. PLoS Comput. Biol. 17(9) (2021) - [i7]Clément Roussel, Simona Cocco, Rémi Monasson:
Barriers and Dynamical Paths in Alternating Gibbs Sampling of Restricted Boltzmann Machines. CoRR abs/2107.06013 (2021) - [i6]Arnaud Fanthomme, Francesca Rizzato, Simona Cocco, Rémi Monasson:
Optimal regularizations for data generation with probabilistic graphical models. CoRR abs/2112.01292 (2021)
2010 – 2019
- 2019
- [j11]Jérôme Tubiana, Simona Cocco, Rémi Monasson:
Learning Compositional Representations of Interacting Systems with Restricted Boltzmann Machines: Comparative Study of Lattice Proteins. Neural Comput. 31(8): 1671-1717 (2019) - [i5]Jérôme Tubiana, Simona Cocco, Rémi Monasson:
Learning Compositional Representations of Interacting Systems with Restricted Boltzmann Machines: Comparative Study of Lattice Proteins. CoRR abs/1902.06495 (2019) - [i4]Moshir Harsh, Jérôme Tubiana, Simona Cocco, Rémi Monasson:
'Place-cell' emergence and learning of invariant data with restricted Boltzmann machines: breaking and dynamical restoration of continuous symmetries in the weight space. CoRR abs/1912.12942 (2019) - 2018
- [j10]Lorenzo Posani, Simona Cocco, Rémi Monasson:
Integration and multiplexing of positional and contextual information by the hippocampal network. PLoS Comput. Biol. 14(8) (2018) - 2017
- [j9]Lorenzo Posani, Simona Cocco, Karel Jezek, Rémi Monasson:
Functional connectivity models for decoding of spatial representations from hippocampal CA1 recordings. J. Comput. Neurosci. 43(1): 17-33 (2017) - 2016
- [j8]John P. Barton, Eleonora De Leonardis, Alice Coucke, Simona Cocco:
ACE: adaptive cluster expansion for maximum entropy graphical model inference. Bioinform. 32(20): 3089-3097 (2016) - [j7]Gaia Tavoni, Simona Cocco, Rémi Monasson:
Neural assemblies revealed by inferred connectivity-based models of prefrontal cortex recordings. J. Comput. Neurosci. 41(3): 269-293 (2016) - [j6]Hugo Jacquin, Amy Gilson, Eugene I. Shakhnovich, Simona Cocco, Rémi Monasson:
Benchmarking Inverse Statistical Approaches for Protein Structure and Design with Exactly Solvable Models. PLoS Comput. Biol. 12(5) (2016) - 2013
- [j5]Simona Cocco, Rémi Monasson, Martin Weigt:
From Principal Component to Direct Coupling Analysis of Coevolution in Proteins: Low-Eigenvalue Modes are Needed for Structure Prediction. PLoS Comput. Biol. 9(8) (2013) - 2011
- [j4]Rémi Monasson, Simona Cocco:
Fast inference of interactions in assemblies of stochastic integrate-and-fire neurons from spike recordings. J. Comput. Neurosci. 31(2): 199-227 (2011) - [i3]Simona Cocco, Rémi Monasson:
Adaptive Cluster Expansion for Inferring Boltzmann Machines with Noisy Data. CoRR abs/1102.3260 (2011)
2000 – 2009
- 2006
- [p1]Simona Cocco, Rémi Monasson, Andrea Montanari, Guilhem Semerjian:
Analyzing Search Algorithms with Physical Methods. Computational Complexity and Statistical Physics 2006: 63-106 - 2005
- [j3]Simona Cocco, Rémi Monasson:
Restarts and exponential acceleration of the Davis-Putnam-Loveland-Logemann algorithm: A large deviation analysis of the generalized unit clause heuristic for random 3-SAT. Ann. Math. Artif. Intell. 43(1): 153-172 (2005) - 2004
- [j2]Simona Cocco, Rémi Monasson:
Heuristic average-case analysis of the backtrack resolution of random 3-satisfiability instances. Theor. Comput. Sci. 320(2-3): 345-372 (2004) - [i2]Simona Cocco, Rémi Monasson:
Heuristic average-case analysis of the backtrack resolution of random 3-Satisfiability instances. CoRR cs.DS/0401011 (2004) - 2003
- [i1]Simona Cocco, Rémi Monasson, Andrea Montanari, Guilhem Semerjian:
Approximate analysis of search algorithms with "physical" methods. CoRR cs.CC/0302003 (2003) - 2001
- [j1]Simona Cocco, Rémi Monasson:
Statistical physics analysis of the backtrack resolution of random 3-SAT instances. Electron. Notes Discret. Math. 9: 36-47 (2001)
Coauthor Index
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last updated on 2024-09-04 00:30 CEST by the dblp team
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