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Publications

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

Affichage des publications 51 à 60 sur 1155 au total

Computer Science

Cluster Insight: A Weighted Clustering Tool for Large Textual Data Exploration

In unsupervised learning, the exploration of large volumes of textual data is a topic of significant interest. In this article, we present our compact and easy-to-use application to explore large volumes of textual data using clustering and…

Amine Ferdjaoui, Séverine Affeldt, Mohamed Nadif

The 18th ACM International Conference on Web Search and Data Mining -

Biomechanics

Some mathematical models for flagellar activation mechanisms

This paper focuses on studying a model for molecular motors responsible for the bending of the axoneme in the flagella of microorganisms. The model is a coupled system of partial differential equations inspired by Jülicher et al. or Camalet,…

François Alouges, Irene Anello, Antonio Desimone, Aline Lefebvre-Lepot, Jessie Levillain

Other Statistics

Stein Boltzmann Sampling: A Variational Approach for Global Optimization

In this paper, we present a flow-based method for global optimization of continuous Sobolev functions, called Stein Boltzmann Sampling (SBS). SBS initializes uniformly a number of particles representing candidate solutions, then uses the Stein…

Gaëtan Serré, Argyris Kalogeratos, Nicolas Vayatis

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 -

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

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