Generalization Error and Dynamical Effects in a Two-Dimensional Patches Detector. - I. Kocher; Rémi Monasson (Int. J. Neural Syst., 1991)

Memory Retrieval in Optimal Subspaces. - Guido Boffetta; Rémi Monasson; Riccardo Zecchina (Int. J. Neural Syst., 1992)

Letter to the Editor: A Storage Algorithm for Two-Layered Neural Networks. - Rémi Monasson (Int. J. Neural Syst., 1994)

A variational description of the ground state structure in random satisfiability problems - Giulio Biroli; Rémi Monasson; Martin Weigt (CoRR, 1999)

2+p-SAT: Relation of typical-case complexity to the nature of the phase transition. - Rémi Monasson; Riccardo Zecchina; Scott Kirkpatrick; Bart Selman; Lidror Troyansky (Random Struct. Algorithms, 1999)

Statistical physics analysis of the backtrack resolution of random 3-SAT instances. - Simona Cocco; Rémi Monasson (Electron. Notes Discret. Math., 2001)

Editorial. - Olivier Dubois 002; Rémi Monasson; Bart Selman; Riccardo Zecchina (Theor. Comput. Sci., 2001)

Statistical mechanics methods and phase transitions in optimization problems. - Olivier C. Martin; Rémi Monasson; Riccardo Zecchina (Theor. Comput. Sci., 2001)

A Study of Pure Random Walk on Random Satisfiability Problems with "Physical" Methods. - Guilhem Semerjian; Rémi Monasson (SAT, 2003)

Relaxation and Metastability in the RandomWalkSAT search procedure - Guilhem Semerjian; Rémi Monasson (CoRR, 2003)

Approximate analysis of search algorithms with "physical" methods - Simona Cocco; Rémi Monasson; Andrea Montanari; Guilhem Semerjian (CoRR, 2003)

Heuristic average-case analysis of the backtrack resolution of random 3-satisfiability instances. - Simona Cocco; Rémi Monasson (Theor. Comput. Sci., 2004)

A Generating Function Method for the Average-Case Analysis of DPLL. - Rémi Monasson (APPROX-RANDOM, 2005)

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. - Simona Cocco; Rémi Monasson (Ann. Math. Artif. Intell., 2005)

Criticality and Universality in the Unit-Propagation Search Rule - Christophe Deroulers; Rémi Monasson (CoRR, 2005)

Analyzing Search Algorithms with Physical Methods. - Simona Cocco; Rémi Monasson; Andrea Montanari; Guilhem Semerjian (Computational Complexity and Statistical Physics, 2006)

Can rare SAT formulas be easily recognized? On the efficiency of message passing algorithms for K-SAT at large clause-to-variable ratios - Fabrizio Altarelli; Rémi Monasson; Francesco Zamponi (CoRR, 2006)

Relationship between clustering and algorithmic phase transitions in the random k-XORSAT model and its NP-complete extensions - Fabrizio Altarelli; Rémi Monasson; Francesco Zamponi (CoRR, 2007)

A review of the Statistical Mechanics approach to Random Optimization Problems - Fabrizio Altarelli; Rémi Monasson; Guilhem Semerjian; Francesco Zamponi (CoRR, 2008)

Connections to Statistical Physics. - Fabrizio Altarelli; Rémi Monasson; Guilhem Semerjian; Francesco Zamponi (Handbook of Satisfiability, 2009)

Adaptive Cluster Expansion for Inferring Boltzmann Machines with Noisy Data - Simona Cocco; Rémi Monasson (CoRR, 2011)

Fast inference of interactions in assemblies of stochastic integrate-and-fire neurons from spike recordings. - Rémi Monasson; Simona Cocco (J. Comput. Neurosci., 2011)

From Principal Component to Direct Coupling Analysis of Coevolution in Proteins: Low-Eigenvalue Modes are Needed for Structure Prediction. - Simona Cocco; Rémi Monasson; Martin Weigt (PLoS Comput. Biol., 2013)

Inference of principal components of noisy correlation matrices with prior information. - Rémi Monasson (ACSSC, 2016)

Emergence of Compositional Representations in Restricted Boltzmann Machines. - Jérôme Tubiana; Rémi Monasson (CoRR, 2016)

Neural assemblies revealed by inferred connectivity-based models of prefrontal cortex recordings. - Gaia Tavoni; Simona Cocco; Rémi Monasson (J. Comput. Neurosci., 2016)

Benchmarking Inverse Statistical Approaches for Protein Structure and Design with Exactly Solvable Models. - Hugo Jacquin; Amy Gilson; Eugene I. Shakhnovich; Simona Cocco; Rémi Monasson (PLoS Comput. Biol., 2016)

Functional connectivity models for decoding of spatial representations from hippocampal CA1 recordings. - Lorenzo Posani; Simona Cocco; Karel Jezek; Rémi Monasson (J. Comput. Neurosci., 2017)

Integration and multiplexing of positional and contextual information by the hippocampal network. - Lorenzo Posani; Simona Cocco; Rémi Monasson (PLoS Comput. Biol., 2018)

'Place-cell' emergence and learning of invariant data with restricted Boltzmann machines: breaking and dynamical restoration of continuous symmetries in the weight space. - Moshir Harsh; Jérôme Tubiana; Simona Cocco; Rémi Monasson (CoRR, 2019)

Can Grid Cell Ensembles Represent Multiple Spaces? - Davide Spalla; Alexis M. Dubreuil; Sophie Rosay; Rémi Monasson; Alessandro Treves (Neural Comput., 2019)

Learning Compositional Representations of Interacting Systems with Restricted Boltzmann Machines: Comparative Study of Lattice Proteins. - Jérôme Tubiana; Simona Cocco; Rémi Monasson (Neural Comput., 2019)

Barriers and Dynamical Paths in Alternating Gibbs Sampling of Restricted Boltzmann Machines. - Clément Roussel; Simona Cocco; Rémi Monasson (CoRR, 2021)

Optimal regularizations for data generation with probabilistic graphical models. - Arnaud Fanthomme; Francesca Rizzato; Simona Cocco; Rémi Monasson (CoRR, 2021)

Low-Dimensional Manifolds Support Multiplexed Integrations in Recurrent Neural Networks. - Arnaud Fanthomme; Rémi Monasson (Neural Comput., 2021)

Probing T-cell response by sequence-based probabilistic modeling. - Barbara Bravi; Vinod P. Balachandran; Benjamin D. Greenbaum; Aleksandra M. Walczak; Thierry Mora; Rémi Monasson; Simona Cocco (PLoS Comput. Biol., 2021)

Parameters and determinants of responses to selection in antibody libraries. - Steven Schulz; Sebastien Boyer; Matteo Smerlak; Simona Cocco; Rémi Monasson; Clément Nizak; Olivier Rivoire (PLoS Comput. Biol., 2021)

Connections to Statistical Physics. - Fabrizio Altarelli; Rémi Monasson; Guilhem Semerjian; Francesco Zamponi (Handbook of Satisfiability, 2021)

Improving sequence-based modeling of protein families using secondary-structure quality assessment. - Cyril Malbranke; David Bikard; Simona Cocco; Rémi Monasson (Bioinform., 2021)

Disentangling representations in Restricted Boltzmann Machines without adversaries. - Jorge Fernandez-de-Cossío-Diaz; Simona Cocco; Rémi Monasson (CoRR, 2022)

Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection. - Andrea Di Gioacchino; Jonah Procyk; Marco Molari; John S. Schreck; Yu Zhou; Yan Liu; Rémi Monasson; Simona Cocco; Petr Sulc (PLoS Comput. Biol., 2022)

Infer global, predict local: Quantity-relevance trade-off in protein fitness predictions from sequence data. - Lorenzo Posani; Francesca Rizzato; Rémi Monasson; Simona Cocco (PLoS Comput. Biol., 2023)

Computational design of novel Cas9 PAM-interacting domains using evolution-based modelling and structural quality assessment. - Cyril Malbranke; William Rostain; Florence Depardieu; Simona Cocco; Rémi Monasson; David Bikard (PLoS Comput. Biol., 2023)

Accelerated Sampling with Stacked Restricted Boltzmann Machines. - Jorge Fernandez-de-Cossío-Diaz; Clément Roussel; Simona Cocco; Rémi Monasson (ICLR, 2024)

Restoring balance: principled under/oversampling of data for optimal classification. - Emanuele Loffredo; Mauro Pastore; Simona Cocco; Rémi Monasson (ICML, 2024)