Publications

Santé publique et épidémiologie

Endotypes identified by cluster analysis in asthmatics and non-Asthmatics and their clinical characteristics at follow-up: The case-control EGEA study

Background Identifying relevant asthma endotypes may be the first step towards improving asthma management. We aimed identifying respiratory endotypes in adults using a cluster analysis and to compare their clinical characteristics at follow-up…

Rachel Nadif, Mickael Febrissy, Miora Valérie Andrianjafimasy, Nicole Le Moual, Frédéric Gormand, Jocelyne Just, Isabelle Pin, Valérie Siroux, Régis Matran, Orianne Dumas, Mohamed Nadif

BMJ open respiratory research - 2020

Mathematics

Maximum Likelihood Estimation of Regularization Parameters in High-Dimensional Inverse Problems: An Empirical Bayesian Approach. Part II: Theoretical Analysis

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

SIAM Journal on Imaging Sciences - 2020

Neurons and Cognition

A Multidimensional Data Acquisition as a Preliminary Step to the Secondary Prevention of the Loss of Autonomy for Patients with Traumatic Injury and Stroke: An AMISIA Pilot Study

Background: The aim of our study was to conduct an ad hoc data collection in healthy adults with the intention of extracting individual profiles to study the ability to effectively monitor one's health by extracting relevant indicators. As “each…

Stéphane Mandigout, Anaick Perrochon, Laure Fernandez, Nasser Rezzoug, Benoît Encelle, Ioannis Kanellos, Damien Ricard, Marinette Bouet, Michel Schneider, Stéphane Buffat

Innovation and Research in BioMedical engineering - 2020

Polymers

On the Mechanical Behaviour of Biosourced Cellular Polymer Manufactured Using Fused Deposition Modelling

The aim of this study is to investigate on the compression performance of cellular Polylactic Acid (PLA) manufacturing while using Fused Deposition Modelling. Computer Aided Design (CAD) models of cellular structures are designed using the…

Sofiane Guessasma, Sofiane Belhabib, David Bassir, Hedi Nouri, Samuel Gomes

Polymers - 2020

Machine Learning

Statistical and Topological Properties of Sliced Probability Divergences

The idea of slicing divergences has been proven to be successful when comparing two probability measures in various machine learning applications including generative modeling, and consists in computing the expected value of a `base divergence'…

Kimia Nadjahi, Alain Durmus, Lénaïc Chizat, Soheil Kolouri, Shahin Shahrampour, Umut Şimşekli

Advances in Neural Processing Systems - 2020

Analysis of PDEs

GEOMETRIC ERGODICITY OF THE BOUNCY PARTICLE SAMPLER

The Bouncy Particle Sampler (BPS) is a Monte Carlo Markov Chain algorithm to sample from a target density known up to a multiplicative constant. This method is based on a kinetic piecewise deterministic Markov process for which the target measure is…

Alain Durmus, Arnaud Guillin, Pierre Monmarché

The Annals of Applied Probability - 2020

Artificial Intelligence

A FUNCTIONAL EQUATION WITH POLYNOMIAL SOLUTIONS AND APPLICATION TO NEURAL NETWORKS

We construct and discuss a functional equation with contraction property. The solutions are real univariate polynomials. The series solving the natural fixed point iterations have immediate interpretation in terms of Neural Networks with recursive…

Bruno Després, Matthieu Ancellin

Comptes Rendus. Mathématique - 2020

Distributed, Parallel, and Cluster Computing

SPAWN: An Iterative, Potentials-Based, Dynamic Scheduling and Partitioning Tool

Many applications of physics modeling use regular meshes on whichcomputations of highly variable cost over time can occur. Distributing the un-derlying cells over manycore architectures is a critical load balancing step thatshould be performed the…

Jean-Charles Papin, Christophe Denoual, Laurent Colombet, Raymond Namyst

International Journal of Parallel Programming - 2020

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