Author

François Charton

Meta (United Kingdom)ORCID 0000-0002-5912-3342Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:sequence-to-function modeling· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

David López-Paz· 1 shared Erik P. GarrisoniD· 1 shared G. Edward SuhiD· 1 shared Jan-Niklas M. SchmelzleiD· 1 shared Jean-Rémi KingiD· 1 shared Maxime Oquab· 1 shared Pengzhi HuangiD· 1 shared Pjotr PrinsiD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 18 mutual co-author links

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1 shared paperNeuroscience

David López-Paz

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2 papers

Recent·Most cited

BioinformaticsIEEE International Conference on Bioinformatics and Biomedicine (BIBM)Peer-reviewedDec 15, 2025

Pangenome-Informed Language Models for Synthetic Genome Sequence Generation

Pengzhi Huang, François Charton, Jan-Niklas M. Schmelzle…·G. Edward Suh

This paper introduces pangenome-informed language models for generating synthetic DNA sequences, showing improved efficiency and quality over classical methods.

4 citationstop 1%

whole-genome sequencingdeep learning

𝕏 PostBluesky

NeurosciencebioRxivPreprintMar 5, 2020

Discriminating the Influence of Correlated Factors from Multivariate Observations: the Back-to-Back Regression

Jean-Rémi King, François Charton, David López-Paz, Maxime Oquab

The paper introduces Back-to-Back regression to disentangle correlated factors from multivariate observations, showing it outperforms existing methods in causal identification.

3 citations

statistical modelbenchmarking

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