Publications

Computer Science

Modèles graphiques causaux interactifs pour les données textuelles

Nous proposons de reconstruire des modèles graphiques causaux à partir de données textuelles via un nouveau package Python appelé WordGraph. Ce package facilite l'exploration de grands corpus de documents par des visualisations interactives sous…

Amine Ferdjaoui, Séverine Affeldt, Mohamed Nadif

24ème conférence francophone sur l'Extraction et la Gestion des Connaissances - 2024

Life Sciences

Population clustering of structural brain aging and its association with brain development

Abstract Structural brain aging has demonstrated strong inter-individual heterogeneity and mirroring patterns with brain development. However, due to the lack of large-scale longitudinal neuroimaging studies, most of the existing research focused on…

Haojing Duan, Runye Shi, Jujiao Kang, Tobias Banaschewski, Arun Bokde, Christian Büchel, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Tomáš Paus, Luise Poustka, Sarah Hohmann, Nathalie Holz, Juliane Fröhner, Michael Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Xiaolei Lin, Jianfeng Feng, Dimitri Papadopoulos Orfanos

Computer Science

Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification

We consider the problem of uncertainty quantification in high dimensional regression and classification for which deep ensemble have proven to be promising methods. Recent observations have shown that deep ensemble often return overconfident…

Antoine de Mathelin, Francois Deheeger, Mathilde Mougeot, Nicolas Vayatis

Computer Science

ADAPT : Awesome Domain Adaptation Python Toolbox

In this paper, we introduce the ADAPT library, an open source Python API providing the implementation of the main transfer learning and domain adaptation methods. The library is designed with a user friendly approach to facilitate the access to…

Antoine de Mathelin, Mounir Atiq, Guillaume Richard, Alejandro de la Concha, Mouad Yachouti, François Deheeger, Mathilde Mougeot, Nicolas Vayatis

Computer Science

Maximum Weight Entropy

This paper deals with uncertainty quantification and out-of-distribution detection in deep learning using Bayesian and ensemble methods. It proposes a practical solution to the lack of prediction diversity observed recently for standard approaches…

Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis

Life Sciences

Synergy of Mutation-Induced Effects in Human Vitamin K Epoxide Reductase: Perspectives and Challenges for Allo-Network Modulator Design

The human Vitamin K Epoxide Reductase Complex (hVKORC1), a key enzyme transforming vitamin K into the form necessary for blood clotting, requires for its activation the reducing equivalents delivered by its redox partner through thiol-disulfide…

Marina Botnari, Luba Tchertanov

International Journal of Molecular Sciences - 2024

Life Sciences

Influence of Psycho-emotional Factors on Motor Control : Cerebral Mechanism and Behavioral Response Underlying (Motiv)Action

The objective of this research topic is to regroup a collection of manuscripts investigating the relationship between the psycho-emotional components and motor control using multidisciplinary approaches. Movement performance can be influenced by…

Thierry Lelard, Pierre-Paul Vidal, Guillaume Leonard

Mathematics

Quasi-local and frequency robust preconditioners for the Helmholtz first-kind integral equations on the disk

We propose preconditioners for the Helmholtz scattering problems by a planar, disk-shaped screen in $\R^3$. Those preconditioners are approximations of the square-roots of some partial differential operators acting on the screen. Their matrix-vector…

François Alouges, Martin Averseng

ESAIM: Mathematical Modelling and Numerical Analysis - 2024

Humanities and Social Sciences

Que la transition écologique soit, et la transition numérique fût.

Marie Garin

Statistics

L’épuration professionnelle du monde du spectacle à la Libération. Histoire et sciences mathématiques

Abstract Written by a historian and a mathematical scientist, this article explores the epistemological stakes of interdisciplinary collaboration by focusing on a specific case study: the purge of performing artists after the liberation of France…

Karine Le Bail, Julien Randon-Furling

Les Annales. Histoire, sciences sociales - 2024