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Publications

Cette page présente les publications du Centre Borelli déposées sur le serveur HAL.

Affichage des publications 321 à 330 sur 1426 au total

Engineering Sciences

Quantitative Analysis of the Fractional Fokker–Planck–Levy Equation via a Modified Physics-Informed Neural Network Architecture

An innovative approach is utilized in this paper to solve the fractional Fokker–Planck–Levy (FFPL) equation. A hybrid technique is designed by combining the finite difference method (FDM), Adams numerical technique, and physics-informed neural…

Fazl Ullah Fazal, Muhammad Sulaiman, David Bassir, Fahad Sameer Alshammari, Ghaylen Laouini

Fractal and Fractional -

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 -

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 -

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 -

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) -

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) -

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) -