Rémi Monasson

Orcid: 0000-0002-4459-0204

According to our database1, Rémi Monasson authored at least 45 papers between 1991 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Restoring balance: principled under/oversampling of data for optimal classification.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Accelerated Sampling with Stacked Restricted Boltzmann Machines.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Computational design of novel Cas9 PAM-interacting domains using evolution-based modelling and structural quality assessment.
PLoS Comput. Biol., November, 2023

Infer global, predict local: Quantity-relevance trade-off in protein fitness predictions from sequence data.
PLoS Comput. Biol., October, 2023

2022
Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection.
PLoS Comput. Biol., September, 2022

Disentangling representations in Restricted Boltzmann Machines without adversaries.
CoRR, 2022

2021
Improving sequence-based modeling of protein families using secondary-structure quality assessment.
Bioinform., November, 2021

Connections to Statistical Physics.
Proceedings of the Handbook of Satisfiability - Second Edition, 2021

Parameters and determinants of responses to selection in antibody libraries.
PLoS Comput. Biol., 2021

Probing T-cell response by sequence-based probabilistic modeling.
PLoS Comput. Biol., 2021

Low-Dimensional Manifolds Support Multiplexed Integrations in Recurrent Neural Networks.
Neural Comput., 2021

Optimal regularizations for data generation with probabilistic graphical models.
CoRR, 2021

Barriers and Dynamical Paths in Alternating Gibbs Sampling of Restricted Boltzmann Machines.
CoRR, 2021

2019
Learning Compositional Representations of Interacting Systems with Restricted Boltzmann Machines: Comparative Study of Lattice Proteins.
Neural Comput., 2019

Can Grid Cell Ensembles Represent Multiple Spaces?
Neural Comput., 2019

'Place-cell' emergence and learning of invariant data with restricted Boltzmann machines: breaking and dynamical restoration of continuous symmetries in the weight space.
CoRR, 2019

2018
Integration and multiplexing of positional and contextual information by the hippocampal network.
PLoS Comput. Biol., 2018

2017
Functional connectivity models for decoding of spatial representations from hippocampal CA1 recordings.
J. Comput. Neurosci., 2017

2016
Benchmarking Inverse Statistical Approaches for Protein Structure and Design with Exactly Solvable Models.
PLoS Comput. Biol., 2016

Neural assemblies revealed by inferred connectivity-based models of prefrontal cortex recordings.
J. Comput. Neurosci., 2016

Emergence of Compositional Representations in Restricted Boltzmann Machines.
CoRR, 2016

Inference of principal components of noisy correlation matrices with prior information.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2013
From Principal Component to Direct Coupling Analysis of Coevolution in Proteins: Low-Eigenvalue Modes are Needed for Structure Prediction.
PLoS Comput. Biol., 2013

2011
Fast inference of interactions in assemblies of stochastic integrate-and-fire neurons from spike recordings.
J. Comput. Neurosci., 2011

Adaptive Cluster Expansion for Inferring Boltzmann Machines with Noisy Data
CoRR, 2011

2009
Connections to Statistical Physics.
Proceedings of the Handbook of Satisfiability, 2009

2008
A review of the Statistical Mechanics approach to Random Optimization Problems
CoRR, 2008

2007
Relationship between clustering and algorithmic phase transitions in the random k-XORSAT model and its NP-complete extensions
CoRR, 2007

2006
Can rare SAT formulas be easily recognized? On the efficiency of message passing algorithms for K-SAT at large clause-to-variable ratios
CoRR, 2006

Analyzing Search Algorithms with Physical Methods.
Proceedings of the Computational Complexity and Statistical Physics., 2006

2005
Criticality and Universality in the Unit-Propagation Search Rule
CoRR, 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.
Ann. Math. Artif. Intell., 2005

A Generating Function Method for the Average-Case Analysis of DPLL.
Proceedings of the Approximation, 2005

2004
Heuristic average-case analysis of the backtrack resolution of random 3-satisfiability instances.
Theor. Comput. Sci., 2004

2003
Approximate analysis of search algorithms with "physical" methods
CoRR, 2003

Relaxation and Metastability in the RandomWalkSAT search procedure
CoRR, 2003

A Study of Pure Random Walk on Random Satisfiability Problems with "Physical" Methods.
Proceedings of the Theory and Applications of Satisfiability Testing, 2003

2001
Statistical mechanics methods and phase transitions in optimization problems.
Theor. Comput. Sci., 2001

Editorial.
Theor. Comput. Sci., 2001

Statistical physics analysis of the backtrack resolution of random 3-SAT instances.
Electron. Notes Discret. Math., 2001

1999
2+p-SAT: Relation of typical-case complexity to the nature of the phase transition.
Random Struct. Algorithms, 1999

A variational description of the ground state structure in random satisfiability problems
CoRR, 1999

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

1992
Memory Retrieval in Optimal Subspaces.
Int. J. Neural Syst., 1992

1991
Generalization Error and Dynamical Effects in a Two-Dimensional Patches Detector.
Int. J. Neural Syst., 1991


  Loading...