Machine Learning in Montpellier, Theory & Practice
Campus St Priest (860 Rue Saint Priest 34095 Montpellier Cedex 5), bat. 5, Room: 02.124
Machine Learning in Montpellier, Theory & Practice – Pedro Valdeira
Julien Patras (IRD / Marbec) will give a talk : Seabirds serve as key bioindicators of ocean health, and with modern tracking technologies like GPS tags, we now have rich datasets capturing their offshore movements. These trajectory data enable us to study behavioral states and identify ecologically significant foraging zones. However, modeling how environmental variables (like wind, sea surface temperature, or currents) shape these trajectories remains largely unexplored. Trajectory simulation using generative artificial intelligence has shown great promise in fields like autonomous driving and human motion modeling. Inspired by these advances, we introduce a novel approach in movement ecology by adapting DiffTraj (Zhu et al., 2023),a pretrained diffusion model originally developed for vehicle trajectories. We then adapt and fine-tune the model on seabird movement data, so that it supports multi-species, multi-site simulation, with the aim of environmental conditioned generation, and improving state-of-the-art seabird trajectory simulation.
Seabirds, Trajectories, Environmental variables, LabéliséHallesIA
SEmantic web SeminAr MontpEllier
Salle 104 du bâtiment 11 dit le château, 2 Place Pierre Viala Campus La Gaillarde, 34000 Montpellier
SEmantic web SeminAr MontpEllier
Le séminaire commencera par un café offert par les Halles de l’IA. Au programme :
(1) News du W3C en 10 minutes, par Pierre-Antoine CHAMPIN, W3C / INRIA / Université de Lyon
(2) FAIRiser les données du réseau d’observatoires de la zone critique Français (OZCAR) : cas d’utilisation de l’ontologie I-ADOPT par Charly COUSSOT, IRD Université Grenoble Auvergne Rhône Alpes
LabéliséHallesIA