Publications

Machine Learning

Shapes analysis for time series

Analyzing inter-individual variability of physiological functions is particularly appealing in medical and biological contexts to describe or quantify health conditions. Such analysis can be done by comparing individuals to a reference one with time…

Thibaut Germain, Samuel Gruffaz, Charles Truong, Laurent Oudre, Alain Durmus

NeurIPS 2024 - 38th Conference on Neural Information Processing Systems - 2024

Statistics

Stochastic Approximation with Biased MCMC for Expectation Maximization

The expectation maximization (EM) algorithm is a widespread method for empirical Bayesian inference, but its expectation step (E-step) is often intractable. Employing a stochastic approximation scheme with Markov chain Monte Carlo (MCMC) can…

Samuel Gruffaz, Kyurae Kim, Alain Oliviero Durmus, Jacob R Gardner

AISTATS 2024 - 2024

Invertebrate Zoology

An Ecologically Consistent Model of Growth for Hard-Bodied Marine Organisms

There are several factors to account for marine growth including but not limited to temperature, salinity, chlorophyll-a content, existing species in the environment and predating. This paper proposes a model of biological growth for hard species on…

Cian Warby, Frederic Dias, Franck Schoefs, Vikram Pakrashi

Journal of Marine Science and Engineering - 2024

Computer Vision and Pattern Recognition

Pseudo Pansharpening NeRF for Satellite Image Collections

The use of NeRF to model 3D scenes from satellite images is becoming increasingly common. However, the models proposed to date assume the availability of pre-processed RGB images as input. This contrasts with the multispectral nature of raw…

Emilie Pic, Thibaud Ehret, Gabriele Facciolo, Roger Marí

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

Machine Learning

Towards reliable machine learning under domain shift and costly labeling, with applications to engineering design

In engineering design, using machine learning models to find innovative products poses major challenges. The effectiveness of machine learning models has been demonstrated when trained and used on large datasets of independently identically…

Antoine de Mathelin de Papigny

Signal and Image processing

METHANE EMISSIONS MONITORING USING GEOSTATIONARY SATELLITES

Satellite imaging has proven to be crucial to monitor methane emissions and help reduce them. In this paper, we propose an automatic practical methodology to use time series from geostationary satellites like GOES-16. While these satellites offer a…

A. Groshenry, Clément Giron, C. Hessel, C. de Franchis, Gabriele Facciolo, T. Ehret

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

Environmental Engineering

MODEL ADJUSTED MATCHED FILTER FOR METHANE PLUME DETECTION ON PRISMA HYPERSPECTRAL IMAGES

Reducing methane emissions is essential to tackle climate change. Here, we address the problem of detecting automatically point source methane leaks using high resolution hyperspectral images from the PRISMA satellite. We propose an improvement of…

E. Ouerghi, T. Ehret, Gabriele Facciolo, E. Meinhardt, C. de Franchis, A. Groshenry, J.-M. Morel

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

Analysis of PDEs

Linear elliptic homogenization for a class of highly oscillating non-periodic potentials

We consider an homogenization problem for the second order elliptic equation $- \Delta u^{\varepsilon} + \dfrac{1}{\varepsilon} V(./\varepsilon) u^{\varepsilon} + \nu u^{\varepsilon} =f$ when the highly oscillatory potential $V$ belongs to a…

Rémi Goudey, Claude Le Bris

SIAM Journal on Mathematical Analysis - 2024

Life Sciences

“Hemispheric pilocytic astrocytoma” revisited: A comprehensive clinicopathological and molecular series emphasizing their overlap with other glioneuronal tumors

Abstract Pilocytic astrocytomas (PA) typically exhibit distinct clinical, radiological, histopathological, and genetic features. DNA-methylation profiling distinguishes PA according to their location (infratentorial, midline, hemispheric, or spinal)…

Cassandra Mariet, Jacques Grill, Yassine Ajlil, David Castel, Volodia Dangouloff-Ros, Nathalie Boddaert, Alexandra Meurgey, Daniel Pissaloux, Romain Appay, Raphaël Saffroy, Stéphanie Puget, Thomas Blauwblomme, Kévin Beccaria, Lauren Hasty, Valérie Rigau, Thomas Roujeau, Aude Aline-Fardin, Fabrice Chrétien, Alice Métais, Pascale Varlet, Arnault Tauziède-Espariat

Journal of Neuropathology and Experimental Neurology - 2024

Signal and Image processing

Topological data analysis for time series

In this thesis, we develop new methods for time series analysis based on topological data analysis. This work is motivated by the study of physiological signals. These signals usually have a certain structure that can be studied using tools such as…

Alexandre Bois