50 citations
- Centre National de la Recherche ScientifiqueFR8 papers
- Laboratoire de Mécanique, Modélisation & Procédés PropresFR4 papers
- Université de MontpellierFR4 papers
- Laboratoire d'Informatique, de Robotique et de Microélectronique de MontpellierFR3 papers
- Centre de Coopération Internationale en Recherche Agronomique pour le DéveloppementFR2 papers
- Centre de physique des particules de MarseilleFR2 papers
- Institut Charles Gerhardt MontpellierFR2 papers
- Université Paul-Valéry MontpellierFR2 papers
- Université Toulouse III - Paul SabatierFR2 papers
- AgroParisTechFR1 paper
- Aix-Marseille UniversitéFR1 paper
- CEA Paris-SaclayFR1 paper
20 papers
A reverse isoperimetric inequality for the Cheeger constant under width constraint
Ilias Ftouhi, Ilaria Lucardesi, Giorgio Saracco
Henrot and Lucardesi, in Commun. Contemp. Math. (2024), conjectured that among planar convex sets with prescribed minimal width, the equilateral triangle uniquely maximizes the Che…
Discarding Lavrentiev's Gap in Non-autonomous and Non-Convex Variational Problems
Michał Borowski, Pierre Bousquet, Iwona Chlebicka +2
We establish that the Lavrentiev gap between Sobolev and Lipschitz maps does not occur for a scalar variational problem of the form: \[ \textrm{to minimize} \qquad u \mapsto \int_Ω…
Two-level deep domain decomposition method
Victorita Dolean, Serge Gratton, Alexander Heinlein +1
This study presents a two-level Deep Domain Decomposition Method (Deep-DDM) augmented with a coarse-level network for solving boundary value problems using physics-informed neural…
Astronomical image time series classification using CONVolutional attENTION (ConvEntion)
Anass Bairouk, Marc Chaumont, Dominique Fouchez +3
Aims. The treatment of astronomical image time series has won increasing attention in recent years. Indeed, numerous surveys following up on transient objects are in progress or un…
Principal Component Analysis: A Generalized Gini Approach
Charpentier, Arthur, Mussard +2
A principal component analysis based on the generalized Gini correlation index is proposed (Gini PCA). The Gini PCA generalizes the standard PCA based on the variance. It is shown,…
PELICAN: deeP architecturE for the LIght Curve ANalysis
Johanna Pasquet, Jérôme Pasquet, Marc Chaumont +1
We developed a deeP architecturE for the LIght Curve ANalysis (PELICAN) for the characterization and the classification of light curves. It takes light curves as input, without any…