Publications

Computer Vision and Pattern Recognition

Feeding CNNs with domain knowledge

In the Oil & Gas industry, increasing production, recovery rates, and the lifespan of oil fields constitutes a major technological challenge. Borehole imaging tools, which provide high-resolution images of the borehole wall based on physical…

Ahmed Ben Saad

Statistics Theory

Geodesic slice sampling on Riemannian manifolds

We propose a theoretically justified and practically applicable slice sampling based Markov chain Monte Carlo (MCMC) method for approximate sampling from probability measures on Riemannian manifolds. The latter naturally arise as posterior…

Alain Durmus, Samuel Gruffaz

Statistics Theory

On the convergence of dynamic implementations of Hamiltonian Monte Carlo and No U-Turn Samplers

There is substantial empirical evidence about the success of dynamic implementations of Hamiltonian Monte Carlo (HMC), such as the No U-Turn Sampler (NUTS), in many challenging inference problems but theoretical results about their behavior are…

Alain Durmus, Samuel Gruffaz

Vibrations

An improved approach for thick functionally graded beams under bending vibratory analysis

A refined beam theory that takes the thickness stretching into account is presented in this study for the bending vibratory behavior analysis of thick functionally graded (FG) beams. In this theory, the number of unknowns is reduced to four instead…

David Bassir, Nadhir Lebaal, Youssef Boutahar, Mohammad Talha, Lhoucine Boutahar

Jie Yang - 2024

Ocean, Atmosphere

Three-Dimensional Non-Hydrostatic Modeling with LES Leray-α Turbulence Model: Applications to Complex Tidal Environments

Ocean turbulence modeling is still an open problem that is generally approached with the use of different modeling for the horizontal and vertical mixing due to the assumption of different turbulent length scales. In some cases, as Alderney Race,…

Lorena Gil Calò, Anne-Claire Bennis, Martial Boutet, Frédéric Dias

Journal of Coastal Research - 2024

Mathematics

Symbolic Representation for Time Series

Sylvain Combettes, Charles Truong, Laurent Oudre

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

Mathematics

A Meta-VAE for Multi-component Industrial Systems Generation

Fouad Oubari, Raphael Meunier, Rodrigue Décatoire, Mathilde Mougeot

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

Mathematics

Portraying the Need for Temporal Data in Flood Detection Via Sentinel-1

Xavier Bou, Thibaud Ehret, Rafael Grompone von Gioi, Jérémy Anger

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

Image Processing

Anomaly Detection for Hotspot Identification in Landsat Images

This paper presents a methodology for hotspot detection in multispectral images, utilizing the Reed-Xiaoli anomaly detection algorithm. By leveraging short-wave infrared data from Landsat, the Reed-Xiaoli algorithm identifies hotspots with…

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

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

Mathematics

Using Graph Prior to Learn Network Granger Causality

Lucas Zoroddu, Pierre Humbert, Laurent Oudre

32nd European Signal Processing Conference (EUSIPCO) - 2024