Articles by Rémi Monasson

Claim page

Rémi Monasson

Activity

Upvotes

Folders

Articles

Restoring balance: principled under/oversampling of data for optimal classification

31 January 2025 by Emanuele Loffredo and others

Disordered Systems and Neural Networks, Machine Learning

Uncertainties in Signal Recovery from Heterogeneous and Convoluted Time Series with Principal Component Analysis

13 December 2024 by Mariia Legenkaia and others

Applications

Task learning through stimulation-induced plasticity in neural networks

2 December 2024 by Francesco Borra and others

Neurons and Cognition, Disordered Systems and Neural Networks

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

22 November 2024 by F. Schönsberg and others at

SISSA

Neuroscience

Unlearning regularization for Boltzmann Machines

15 May 2024 by Enrico Ventura and others

Disordered Systems and Neural Networks

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

3 January 2024 by Tobias Kühn and Rémi Monasson

Disordered Systems and Neural Networks, Statistical Mechanics

Evolutionary Dynamics of a Lattice Dimer: a Toy Model for Stability vs. Affinity Trade-offs in Proteins

5 December 2023 by Emanuele Loffredo and others

Statistical Mechanics, Biological Physics

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

17 November 2023 by Cyril Malbranke and others

Bioinformatics

Learning the differences: a transfer-learning approach to predict antigen immunogenicity and T-cell receptor specificity

8 September 2023 by B. Bravi and others at

Imperial College London

Bioinformatics

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

26 June 2023 by Eugenio Mauri and others

Quantitative Methods

Emergence of time persistence in an interpretable data-driven neural network model

14 March 2023 by Scott Wolf and others

Neuroscience

Computational protein design with evolutionary-based and physics-inspired modeling: current and future synergies

7 February 2023 by Cyril Malbranke and others

Biological Physics

Mutational paths with sequence-based models of proteins: from sampling to mean-field characterisation

24 October 2022 by Eugenio Mauri and others

Biomolecules, Statistical Mechanics

Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection

29 September 2022 by A. Gioacchino and others

Biophysics

A synaptic novelty signal in the dentate gyrus supports switching hippocampal attractor networks from generalization to discrimination

15 July 2022 by R. Gomez-Ocadiz and others at

Institut Pasteur

Neuroscience

Optimal regularizations for data generation with probabilistic graphical models

2 December 2021 by Arnaud Fanthomme and others

Machine Learning, Quantitative Methods

Barriers and Dynamical Paths in Alternating Gibbs Sampling of Restricted Boltzmann Machines

21 October 2021 by Clément Roussel and others

Disordered Systems and Neural Networks, Statistical Mechanics

Probing T-cell response by sequence-based probabilistic modeling

2 September 2021 by B. Bravi and others

Bioinformatics

Improving sequence-based modeling of protein families using secondary structure quality assessment

12 June 2021 by Cyril Malbranke and others

Bioinformatics

Survival probability and size of lineages in antibody affinity maturation

10 May 2021 by Marco Molari and others

Populations and Evolution

Parameters and determinants of responses to selection in antibody libraries

25 March 2021 by Samuel Schulz and others

Biophysics

The heterogeneous landscape and early evolution of pathogen-associated CpG and UpA dinucleotides in SARS CoV-2

4 February 2021 by A. Gioacchino and others

Genomics

Flexible machine learning prediction of antigen presentation for rare and common HLA-I alleles

17 December 2020 by B. Bravi and others at

Ecole Normale Superieure

Bioinformatics

Gaussian Closure Scheme in the Quasi-Linkage Equilibrium Regime of Evolving Genome Populations

13 October 2020 by Eugenio Mauri and others

Statistical Mechanics, Biological Physics

Quantitative modeling of the effect of antigen dosage on B-cell affinity distributions in maturating germinal centers

15 June 2020 by Marco Molari and others

Immunology

Capacity-resolution trade-off in the optimal learning of multiple low-dimensional manifolds by attractor neural networks

13 January 2020 by Aldo Battista and Rémi Monasson

Disordered Systems and Neural Networks, Statistical Mechanics

Can grid cell ensembles represent multiple spaces?

15 October 2019 by D. Spalla and others

Neuroscience

Environmental adaptation of olfactory receptor distributions

26 February 2019 by Tiberiu Teşileanu and others

Neuroscience

Learning Compositional Representations of Interacting Systems with Restricted Boltzmann Machines: Comparative Study of Lattice Proteins

18 February 2019 by Jérôme Tubiana and others

Machine Learning, Data Analysis, Statistics and Probability

Integration and multiplexing of positional and contextual information by the hippocampal network

14 August 2018 by L. Posani and others

Neuroscience

This is an AI-generated summary

Key points

Topics

Statistical Mechanics Disordered Systems and Neural Networks Quantitative Methods Machine Learning Biological Physics Bioinformatics Neuroscience Biomolecules Data Analysis, Statistics and Probability Neurons and Cognition Quantitative Biology Condensed Matter Soft Condensed Matter Populations and Evolution Biophysics