Publications

Biomechanics

Some mathematical models for flagellar activation mechanisms

This paper focuses on studying a model for molecular motors responsible for the bending of the axoneme in the flagella of microorganisms. The model is a coupled system of partial differential equations inspired by Jülicher et al. or Camalet,…

François Alouges, Irene Anello, Antonio Desimone, Aline Lefebvre-Lepot, Jessie Levillain

Mathematical Models and Methods in Applied Sciences - 2025

Optimization and Control

Unbalanced L1 optimal transport for vector valued measures and application to Full Waveform Inversion

Optimal transport has recently started to be successfully employed to define misfit or loss functions in inverse problems. However, it is a problem intrinsically defined for positive (probability) measures and therefore strategies are needed for its…

Gabriele Todeschi, Ludovic Métivier, Jean-Marie Mirebeau

Journal of Computational Physics - 2025

Other Statistics

Stein Boltzmann Sampling: A Variational Approach for Global Optimization

In this paper, we present a flow-based method for global optimization of continuous Sobolev functions, called Stein Boltzmann Sampling (SBS). SBS initializes uniformly a number of particles representing candidate solutions, then uses the Stein…

Gaëtan Serré, Argyris Kalogeratos, Nicolas Vayatis

Mathematics

The anisotropy of 2D or 3D Gaussian random fields through their Lipschitz-Killing curvature densities

We are interested here in modeling and estimating the anisotropy of 2D and 3D Gaussian random fields through the geometry of their excursion sets. In order to do this, we use Lipschitz-Killing curvatures of the level sets as functions of the levels…

Hermine Biermé, Agnès Desolneux

The Annals of Applied Probability - 2025

Numerical Analysis

Monotone discretization of anisotropic differential operators using Voronoi's first reduction

We consider monotone discretization schemes, using adaptive finite differences on Cartesian grids, of partial differential operators depending on a strongly anisotropic symmetric positive definite matrix. For concreteness, we focus on a linear…

Joseph Frédéric Bonnans, Guillaume Bonnet, Jean-Marie Mirebeau

Constructive Approximation - 2025

Cancer

Phenotypic and epigenetic heterogeneity in FGFR2 ‐fused glial and glioneuronal tumours

Aims: FGFR-fused central nervous system (CNS) tumours are rare and are usually within the glioneuronal and neuronal tumours or the paediatric-type diffuse low-grade glioma spectrum. Among this spectrum, FGFR2 fusion has been documented in tumours…

Alice Métais, Volodia Dangouloff-Ros, Jeremy Garcia, Quentin Vannod-Michel, Marie Csanyi, Arnault Tauziède-Espariat, Romain Appay, Claude‐alain Maurage, Emmanuelle Uro-Coste, David Meyronet, Valérie Rigau, Audrey Rousseau, Guillaume Chotard, Jocelyne Hamelin, Gaelle Pierron, Carole Colin, Morgan Ollivier, Margaux Roques, Corentin Provost, Jean‐philippe Cottier, Johan Pallud, Fabrice Chrétien, Lelio Guida, Thomas Blauwblomme, Nathalie Boddaert, Pascale Varlet, Myriam Edjlali, Dominique Figarella-Branger, Jean-Marc Constans

Neuropathology and Applied Neurobiology - 2024

Life Sciences

Reappraisal of prognostic factors in CNS WHO grade 3 oligodendrogliomas IDH-mutant and 1p/19q co-deleted: Lessons from the French POLA cohort

Background In the POLA cohort, 3 pathological groups of CNS WHO grade 3 oligodendroglioma IDH-mutant and 1p/19q co-deleted have been described: group 1 (high mitotic count only), group 2 (microvascular proliferation MVP and no necrosis), and group 3…

Domique Figarella-Branger, Domique Figarella-Branger, Carole Colin, Karima Mokhtari, Emmanuelle Uro-Coste, Emmanuelle Uro-Coste, Ahmed Idbaih, Romain Appay, Emeline Tabouret, Mehdi Touat, Antoine Seyve, Catherine Carpentier, Caroline Dehais, Caroline Dehais, François Ducray, François Ducray, C Desenclos, N Guillain, P Menei, A Rousseau, T Cruel, S Lopez, M Abad, N Hamdan, C Adam, F Parker, R Seizeur, I Quintin-Roué, G Chotard, C Bronnimann, D Ricard, C Godfraind, T Khallil, D Cazals-Hatem, T Faillot, C Gaultier, Mc Tortel, I Carpiuc, P Richard, H Aubriot-Lorton, F Ghiringhelli, A Djelad, Ca Maurage, Em Gueye, F Labrousse, D Meyronet, O Chinot, L Bauchet, V Rigau, G Gauchotte, L Taillandier, M Campone, D Loussouarn, V Bourg, F Vandenbos-Burel, J-S Guillamo, P Roger, C Blechet, H Adle-Biassette, F Bielle, A Carpentier, S Milin, M Wager, P Colin, Md Diebold, D Chiforeanu, E Vauleon, F Marguet, O Langlois, F Forest, Mj Motso-Fotso, M Andraud, M Khettab, B Lhermitte, G Noel, M Bernier, N Younan, C Rousselot-Denis, I Zemmoura, C Joubert, E Cohen-Moyal, F Dhermain

Neuro-Oncology - 2024

Computer Vision and Pattern Recognition

Feeding CNNs with domain knowledge

In the Oil & Gas industry, increasing production, recovery rates, and the lifespan of oil fields constitutes a major technological challenge. Borehole imaging tools, which provide high-resolution images of the borehole wall based on physical…

Ahmed Ben Saad

Statistics Theory

Geodesic slice sampling on Riemannian manifolds

We propose a theoretically justified and practically applicable slice sampling based Markov chain Monte Carlo (MCMC) method for approximate sampling from probability measures on Riemannian manifolds. The latter naturally arise as posterior…

Alain Durmus, Samuel Gruffaz

Statistics Theory

On the convergence of dynamic implementations of Hamiltonian Monte Carlo and No U-Turn Samplers

There is substantial empirical evidence about the success of dynamic implementations of Hamiltonian Monte Carlo (HMC), such as the No U-Turn Sampler (NUTS), in many challenging inference problems but theoretical results about their behavior are…

Alain Durmus, Samuel Gruffaz