Publications

Mathematics

Using Graph Prior to Learn Network Granger Causality

Lucas Zoroddu, Pierre Humbert, Laurent Oudre

32nd European Signal Processing Conference (EUSIPCO) - 2024

Mathematics

Symbolic Representation for Time Series

Sylvain Combettes, Charles Truong, Laurent Oudre

2024 32nd European Signal Processing Conference (EUSIPCO) - 2024

Image Processing

Hotspot Detection in Nighttime Landsat Data

We propose a statistically based method to detect hotspots in nighttime short-wave infrared Landsat data. The method assumes an independent and identical Gaussian distribution on the background data and looks for parts of the images with abnormally…

Charles Hessel, Antoine Tadros, Rafael Grompone von Gioi, Florentin Poucin, Simon Lajouanie, Carlo de Franchis

2024 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2024) - 2024

Neuroscience

Symptomatologie sensitive suspendue révélant une sclérose en plaques : intérêt d’une approche multidisciplinaire

Rémy Chapelle, M.-L. Brechemier, A. Rigal, Damien Ricard, Stéphane Kremer

Pratique Neurologique - FMC - 2024

Machine Learning

Gromov-Wasserstein-like Distances in the Gaussian Mixture Models Space

The Gromov-Wasserstein (GW) distance is frequently used in machine learning to compare distributions across distinct metric spaces. Despite its utility, it remains computationally intensive, especially for large-scale problems. Recently, a novel…

Antoine Salmona, Julie Delon, Agnès Desolneux

Transactions on Machine Learning Research Journal - 2024

Neural and Evolutionary Computing

LEVERAGING EDGE DETECTION AND NEURAL NETWORKS FOR BETTER UAV LOCALIZATION

We propose a new method for the geolocalization of Unmaned Aerial Vehicles (UAV) in environments without Global Navigation Stallite Systems (GNSS). Current stateof-the-art methods use an offline-trained encoder to compute a vector representation …

Théo Di Piazza, Enric Meinhardt-Llopis, Gabriele Facciolo, Bénédicte Bascle, Corentin Abgrall, Jean-Clément Devaux

2024 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2024) - 2024

Machine Learning

De l'apprentissage fédéré vers une théorie critique de l'apprentissage hétéromatique

This manuscript attests to a significant epistemological swing. This document consists of two sections: the first relates to mathematics --- the initial discipline in which this thesis began --- and the second to Sciences and Technologies Studies …

Marie Garin

Mathematics

On the Domain Generalization Capabilities of Interactive Segmentation Methods

Interactive image segmentation (IIS) methods are usually trained over segmentation datasets containing natural images. They are also usually evaluated over natural images. However, the most common use case is the annotation of new images from a…

Franco Marchesoni-Acland, Tanguy Magne, Fayçal Rekbi, Gabriele Facciolo

Image Processing On Line - 2024

Physics

How Shock ignition can help to overcome the negative effects of hot electrons in direct-drive high-gain inertial confinement fusion

Hot electrons produced by parametric instabilities can negatively affect the thermonuclear gain of a direct-drive inertial confinement fusion capsule. A Monte Carlo transport is coupled to the hydrodynamics MULTI-IFE code in order to study the hot…

Mauro Temporal, Benoit Canaud, Rafael Ramis

Journal of Plasma Physics - 2024

Mathematics

A Review of t-SNE

Sangwon Jung, Tristan Dagobert, Jean-Michel Morel, Gabriele Facciolo

Image Processing On Line - 2024