Publications

Chemical and Process Engineering

Modeling and Study of Hydrodynamic flow within the Preneutralizer Reactor using CFD Approach

S. Elmisaoui, L. Khamar, S. Benjelloun, M. Khamar, J.M. Ghidaglia

Computer Aided Chemical Engineering - 2020

Human health and pathology

Biopsychosocial determinants of visuospatial memory performance according to different spaces

Visuospatial memory (VSM) performance depends on intrinsic (biopsychosocial parameters) and extrinsic (space) factors. We aimed at characterizing the determinants of VSM performance according to space. Young healthy adults, 20 males and 41 females …

L. Bherer, M. Gallou-Guyot, S. Mandigout, J. Lacroix, D. Ricard, S. Buffat, D. Archambeau, G. Guéguin, A. Perrochon

Neuroscience Research - 2020

Life Sciences

Extraocular muscle positions in anterior plagiocephaly: V-pattern strabismus explained using geometric mophometrics

Romain Touzé, Yann Heuzé, Matthieu Robert, Dominique Brémond-Gignac, Charles-Joris Roux, Syril James, Giovanna Paternoster, Eric Arnaud, Roman Hossein Khonsari

British Journal of Ophthalmology - 2020

Statistics Theory

Selective review of offline change point detection methods

Charles Truong, Laurent Oudre, Nicolas Vayatis

Signal Processing - 2020

Functional Analysis

A characterization of proximity operators

We characterize proximity operators, that is to say functions that map a vector to a solution of a penalized least squares optimization problem. Proximity operators of convex penalties have been widely studied and fully characterized by Moreau. They…

Rémi Gribonval, Mila Nikolova

Journal of Mathematical Imaging and Vision - 2020

Statistics Theory

Efficient stochastic optimisation by unadjusted Langevin Monte Carlo. Application to maximum marginal likelihood and empirical Bayesian estimation

Stochastic approximation methods play a central role in maximum likelihood estimation problems involving intractable likelihood functions, such as marginal likelihoods arising in problems with missing or incomplete data, and in parametric empirical…

Valentin de Bortoli, Alain Durmus, Marcelo Pereyra, Ana Fernandez Vidal

Statistics and Computing - 2020

Analysis of PDEs

Paralinearization of the Muskat Equation and Application to the Cauchy Problem

We paralinearize the Muskat equation to extract an explicit parabolic evolution equation having a compact form. This result is applied to give a simple proof of the local well-posedness of the Cauchy problem for rough initial data, in homogeneous…

Thomas Alazard, Omar Lazar

Archive for Rational Mechanics and Analysis - 2020

Mathematics

Sub-Riemannian Methods in Shape Analysis

Laurent Younes, Barbara Gris, Alain Trouvé

Handbook of Variational Methods for Nonlinear Geometric Data - 2020

Mathematics

Microtubules (MT) a key target in oncology: mathematical modeling of anti-MT agents on cell migration

Microtubules (MTs) are protein filaments found in all eukaryotic cells which are crucial for many cellular processes including cell movement, cell differentiation, and cell division, making them a key target for anti-cancer treatment. In particular,…

Emilie Denicolai, Stéphane Honoré, Florence Hubert, Rémi Tesson

Mathematical Modelling of Natural Phenomena - 2020

Mathematics

Lyapunov Functions, Identities and the Cauchy Problem for the Hele–Shaw Equation

This article is devoted to the study of the Hele-Shaw equation. We introduce an approach inspired by the water-wave theory. Starting from a reduction to the boundary, introducing the Dirichlet to Neumann operator and exploiting various cancellations…

Thomas Alazard, Nicolas Meunier, Didier Smets

Communications in Mathematical Physics - 2020