Publications

Life Sciences

Human Vitamin K Epoxide Reductase as a Target of its Redox Protein

Human Vitamin K epoxide reductase (hVKORC1) is a key enzyme to reduce vitamin K. Such function requires activation of the enzyme by a redox partner delivering reducing equivalents through thioldisulphide exchange reactions. The activation process…

Julie Ledoux, Maxim Stolyarchuck, Luba Tchertanov

Ignacio Rojas, Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Francisco Ortuño - 2022

Mathematics

Decision-making tools for healthcare structures in times of pandemic

The COVID-19 sanitary crisis has shed an unprecedented light on the role of modellers, mathematicians, computer scientists and data scientists in the monitoring and in the understanding of the dynamics of an epidemic. The general audience became…

Thierry Garaix, Stéphane Gaubert, Julie Josse, Nicolas Vayatis, Amandine Véber

Anaesthesia Critical Care & Pain Medicine - 2022

Structural Biology

The Inherent Coupling of Intrinsically Disordered Regions in the Multidomain Receptor Tyrosine Kinase KIT

RTK KIT regulates a variety of crucial cellular processes via its cytoplasmic domain (CD), which is composed of the tyrosine kinase domain, crowned by the highly flexible domains-the juxtamembrane region, kinase insertion domain, and C-tail, which…

Julie Ledoux, Alain Trouvé, Luba Tchertanov

International Journal of Molecular Sciences - 2022

Statistics Theory

Weighting Schemes for One-Shot Federated Learning

This paper focuses on one-shot aggregation of statistical estimations made across disjoint data sources for federated learning, in the context of empirical risk minimization. We exploit the role of each local sample size for this problem to develop…

Marie Garin, Theodoros Evgeniou, Nicolas Vayatis

Apprentissage

Private Quantiles Estimation in the Presence of Atoms

Clément Lalanne, Clément Gastaud, Nicolas Grislain, Aurélien Garivier, Rémi Gribonval

Probability

Sticky nonlinear SDEs and convergence of McKean-Vlasov equations without confinement

We develop a new approach to study the long time behaviour of solutions to nonlinear stochastic differential equations in the sense of McKean, as well as propagation of chaos for the corresponding mean-field particle system approximations. Our…

Arnaud Guillin, Alain Durmus, Andreas Eberle, Katharina Schuh

Dynamical Systems

Flow Redirection for Epidemic Reaction-DIffusion Control

We show we can control an epidemic reaction-diffusion on a directed, and heterogeneous, network by redirecting the flows, thanks to the optimisation of well-designed loss functions, in particular the basic reproduction number of the model. We…

Pierre-Yves Massé, Quentin Laborde, Maria Cherifa, Jules Olayé, Laurent Oudre

Santé publique et épidémiologie

Epidemic Models for Personalised COVID-19 Isolation and Exit Policies Using Clinical Risk Predictions

In mid April 2020, with more than 2.5 billion people in the world following social distancing measures due to COVID-19, governments are considering relaxing lock-down. We combined individual clinical risk predictions with epidemic modelling to…

Theodoros Evgeniou, Mathilde Fekom, Anton Ovchinnikov, Raphaël Porcher, Camille Pouchol, Nicolas Vayatis

Image Processing

Gromov-Wasserstein Distances between Gaussian Distributions

The Gromov-Wasserstein distances were proposed a few years ago to compare distributions which do not lie in the same space. In particular, they offer an interesting alternative to the Wasserstein distances for comparing probability measures living…

Antoine Salmona, Julie Delon, Agnès Desolneux

Journal of Applied Probability - 2022

Statistics Theory

Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie

Since the seminal work of Venkatakrishnan et al. [82] in 2013, Plug & Play (PnP) methods have become ubiquitous in Bayesian imaging. These methods derive estimators for inverse problems in imaging by combining an explicit likelihood function…

Rémi Laumont, Valentin de Bortoli, Andrés Almansa, Julie Delon, Alain Durmus, Marcelo Pereyra

SIAM Journal on Imaging Sciences - 2022