Publications

Analysis of PDEs

Refined Rellich boundary inequalities for the derivatives of a harmonic function

The classical Rellich inequalities imply that the L 2-norms of the normal and tangential derivatives of a harmonic function are equivalent. In this note, we prove several refined inequalities, which make sense even if the domain is not Lipschitz…

Siddhant Agrawal, Thomas Alazard

Proceedings of the American Mathematical Society - 2023

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 - 2023

Machine Learning

Preventing falls: the use of machine learning for the prediction of future falls in individuals without history of fall

Nowadays, it becomes of paramount societal importance to support many frail-prone groups in our society (elderly, patients with neurodegenerative diseases, etc.) to remain socially and physically active, maintain their quality of life, and avoid…

Ioannis Bargiotas, Danping Wang, Juan Mantilla, Flavien Quijoux, Albane Moreau, Catherine Vidal, Remi Barrois, Alice Nicolai, Julien Audiffren, Christophe Labourdette, François Bertin-Hugaul, Laurent Oudre, Stephane Buffat, Alain Yelnik, Damien Ricard, Nicolas Vayatis, Pierre-Paul Vidal

Journal of Neurology - 2023

Signal and Image processing

Video joint denoising and demosaicing with recurrent CNNs

Denoising and demosaicing are two critical components of the image/video processing pipeline. While historically these two tasks have mainly been considered separately, current neural network approaches allow to obtain state of-the-art results by…

Valéry Dewil, Adrien Courtois, Mariano Rodríguez, Thibaud Ehret, Nicola Brandonisio, Denis Bujoreanu, Gabriele Facciolo, Pablo Arias

Winter Conference on Applications of Computer Vision (WACV) - 2023

Engineering Sciences

Multicriteria optimization of 3D printed wing using PLA reinforced with carbon fiber

The purpose of this work is the optimal conception of a wing built using fused deposition modeling (FDM), which is one of the main additive manufacturing (AM) process. PLA reinforced with carbon fiber was selected for the filament as we have defined…

David Bassir, Hao Yue, Khaoula Abouzaid, Patrice Salzenstein

AIP Conference Proceedings - 2023

Machine Learning

On Maximum-a-Posteriori estimation with Plug & Play priors and stochastic gradient descent

Bayesian methods to solve imaging inverse problems usually combine an explicit data likelihood function with a prior distribution that explicitly models expected properties of the solution. Many kinds of priors have been explored in the literature,…

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

Journal of Mathematical Imaging and Vision - 2023

Computer Science

Learning in Repeated Auctions

Thomas Nedelec, Clément Calauzènes, Noureddine El Karoui, Vianney Perchet

Life Sciences

Retinal atrophy and markers of systemic and cerebrovascular severity in homozygous sickle cell disease

Introduction. While paramacular retinal atrophy (PRA) is known to be found in 48% of eyes of adults and 42% of eyes of children with homozygous SCD (SS-SCD), the aim of this study is to assess the association between PRA and red blood cell (RBC)…

Gilles Martin, Valentine Brousse, Philippe Connes, David Grevent, Manoelle Kossorotoff, Lydie Da Costa, Hélène Bourdeau, Keyne Charlot, Bénédicte Boutonnat-Faucher, Slimane Allali, Mariane de Montalembert, Dominique Bremond-Gignac, Pierre-Paul Vidal, Matthieu Robert

European Journal of Ophthalmology - 2022

Machine Learning

Apprentissage machine pour la prédiction de l'attrition: une étude comparative

La prédiction du taux d'attrition est une préoccupation économique majeure pour de nombreuses entreprises. Différentes approches d'apprentissage ont été proposées, toutefois le choix à priori du modèle le plus adapté reste une tâche non triviale car…

Louis Geiler, Séverine Affeldt, Mohamed Nadif

Extraction et gestion des connaissances (EGC'2022), Actes des 22èmes journées Extraction et Gestion de Connaissances - 2022

Santé publique et épidémiologie

Dwelling mould profiles and current asthma in the CONSTANCES cohort

Marine Savouré, Tajidine Tsiavia, Séverine Affeldt, Emilie Fréalle, Valerie Bex, Orianne Dumas, Marcel Goldberg, Nicole Le Moual, Céline Ribet, Nicolas Roche, Marie Zins, Bénédicte Leynaert, Laurent Orsi, Rachel Nadif

ISEE 2022: 34th Annual Conference of the International Society of Environmental Epidemiology - 2022