Remi Monasson

Remi Monasson

École Normale Supérieure

H-index: 45

Europe-France

About Remi Monasson

Remi Monasson, With an exceptional h-index of 45 and a recent h-index of 26 (since 2020), a distinguished researcher at École Normale Supérieure, specializes in the field of statistical physics, applications to computational biology & machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

How disorder impacts information content in continuous attractor networks

Structure and individuality of navigation in zebrafish larvae

Replica symmetry breaking and clustering phase transitions in undersampled restricted Boltzmann machines

Deep Tempering with Nested Restricted Boltzmann Machines

Designing molecular RNA switches with Restricted Boltzmann machines

Mutational paths with sequence-based models of proteins: From sampling to mean-field characterization

Accelerated sampling with stacked restricted boltzmann machines

Supervised task learning via stimulation-induced plasticity in rate-based neural networks

Remi Monasson Information

University

Position

CNRS &

Citations(all)

8835

Citations(since 2020)

2774

Cited By

7143

hIndex(all)

45

hIndex(since 2020)

26

i10Index(all)

113

i10Index(since 2020)

65

Email

University Profile Page

École Normale Supérieure

Google Scholar

View Google Scholar Profile

Remi Monasson Skills & Research Interests

statistical physics

applications to computational biology & machine learning

Top articles of Remi Monasson

Title

Journal

Author(s)

Publication Date

How disorder impacts information content in continuous attractor networks

Bulletin of the American Physical Society

Tobias Kühn

Rémi Monasson

2024/3/7

Structure and individuality of navigation in zebrafish larvae

Mattéo Dommanget-Kott

Jorge Fernandez-De-Cossio-Diaz

Monica Coraggioso

Volker Bormuth

Rémi Monasson

...

2024/2/8

Replica symmetry breaking and clustering phase transitions in undersampled restricted Boltzmann machines

Jorge Fernandez-De-Cossio-Diaz

Thomas Tulinski

Simona Cocco

Rémi Monasson

2024/2/8

Deep Tempering with Nested Restricted Boltzmann Machines

Clément Roussel

Jorge Fernandez-De-Cossio-Diaz

Simona Cocco

Rémi Monasson

2023/1/2

Designing molecular RNA switches with Restricted Boltzmann machines

bioRxiv

Jorge Fernandez-de-Cossio-Diaz

Pierre Hardouin

Francois-Xavier Lyonnet du Moutier

Andrea Di Gioacchino

Bertrand Marchand

...

2023

Mutational paths with sequence-based models of proteins: From sampling to mean-field characterization

Physical Review Letters

Eugenio Mauri

Simona Cocco

Rémi Monasson

2023/4/12

Accelerated sampling with stacked restricted boltzmann machines

Clément Roussel

Jorge Fernandez-de-Cossio-Diaz

Simona Cocco

Remi Monasson

2023/10/13

Supervised task learning via stimulation-induced plasticity in rate-based neural networks

Francesco Borra

Simona Cocco

Rémi Monasson

2023/12/12

Deciphering the code of viral-host adaptation through maximum entropy models (preprint)

Andrea Di Gioacchino

Benjamin D Greenbaum

Remi Monasson

Simona Cocco

2023

Direct vs. global transition paths in Potts-like energy landscapes

arXiv preprint arXiv:2304.03128

Eugenio Mauri

Simona Cocco

Rémi Monasson

2023/4/6

Information content in continuous attractor neural networks is preserved in the presence of moderate disordered background connectivity

Physical Review E

Tobias Kühn

Rémi Monasson

2023/12/7

Evolutionary dynamics of a lattice dimer: a toy model for stability vs. affinity trade-offs in proteins

Journal of Physics A: Mathematical and Theoretical

Emanuele Loffredo

Elisabetta Vesconi

Rostam Razban

Orit Peleg

Eugene Shakhnovich

...

2023/10/13

Minimal epistatic networks from integrated sequence and mutational protein data.

bioRxiv

Simona Cocco

Remi Monasson

Lorenzo Posani

2023

Disentangling representations in restricted boltzmann machines without adversaries

Physical Review X

Jorge Fernandez-de-Cossio-Diaz

Simona Cocco

Rémi Monasson

2023/4/5

A transfer-learning approach to predict antigen immunogenicity and T-cell receptor specificity

ELife

Barbara Bravi

Andrea Di Gioacchino

Jorge Fernandez-de-Cossio-Diaz

Aleksandra M Walczak

Thierry Mora

...

2023/9/8

Computational design of novel Cas9 PAM-interacting domains using evolution-based modelling and structural quality assessment

PLOS Computational Biology

Cyril Malbranke

William Rostain

Florence Depardieu

Simona Cocco

Remi Monasson

...

2023/11/17

Continuous quasi-attractors dissolve with too much-or too little-variability

bioRxiv

Francesca Schönsberg

Rémi Monasson

Alessandro Treves

2023

Emergence of time persistence in a data-driven neural network model

Elife

Sebastien Wolf

Guillaume Le Goc

Georges Debrégeas

Simona Cocco

Rémi Monasson

2023/3/14

Transition paths in Potts-like energy landscapes: General properties and application to protein sequence models

Physical Review E

Eugenio Mauri

Simona Cocco

Rémi Monasson

2023/8/28

Unlearning regularization for Boltzmann Machines

arXiv preprint arXiv:2311.09418

Enrico Ventura

Simona Cocco

Rémi Monasson

Francesco Zamponi

2023/11/15

See List of Professors in Remi Monasson University(École Normale Supérieure)