Thursday, September 4, 2025
Time | Event | (+) |
08:30 - 09:00 | Welcome coffee | |
09:00 - 09:10 | Introductory speech (RESSTE / Geolearning chair) | |
09:10 - 09:50 | Plenary Talk | (+) |
09:10 - 09:50 | › Arctic Ocean data assimilation assisted by machine learning - Laurent Bertino, Nansen Environmental and Remote Sensing Center [Bergen] | |
09:50 - 10:50 | Machine learning | (+) |
09:50 - 10:10 | › Benchmarking probabilistic spatial machine learning models with complex sample distributions - Jérémy Rohmer, BRGM | |
10:10 - 10:30 | › Model selection for spatial regression with cross-validation adapted to dependent data. - Valentina Bastidas Schade, Université Paris Nanterre - Modal'X | |
10:30 - 10:50 | › Bayesian prediction of non-stationary spatial data: when diffusion generative models meet Gaussian random fields - Mike Pereira, Mines Paris - PSL (École nationale supérieure des mines de Paris) | |
10:50 - 11:10 | Coffee break | |
11:10 - 11:50 | Plenary Talk | (+) |
11:10 - 11:50 | › Regular Variation in Hilbert Spaces and Principal Component Analysis for Functional Extremes - Anne Sabourin, Mathématiques Appliquées Paris 5 | |
11:50 - 12:30 | Climate and extremes | (+) |
11:50 - 12:10 | › Analyzing the dynamics of extreme events with marked point processes. - Antoine Heranval, Biostatistique et Processus Spatiaux | |
12:10 - 12:30 | › A complete characterization of indicator variograms and madograms - Xavier Emery, University of Chile | |
12:30 - 14:00 | Lunch | |
14:00 - 14:40 | Plenary Talk | (+) |
14:00 - 14:40 | › Hierarchical transfer learning with applications for electricity load forecasting - Yannig Goude, Laboratoire de Mathématiques d'Orsay | |
14:40 - 15:40 | Spatial | (+) |
14:40 - 15:00 | › Cartographie des expositions environnementales en France : krigeage des données de qualité des sols - Mamadou Bailo BALDE, INERIS | |
15:00 - 15:20 | › Efficient Bayesian spatially varying coefficients modeling for censored and clustered data using the vecchia approximation - Yacine IDIR, Ecoles des mines de Paris | |
15:20 - 15:40 | › Spline Interpolation on Riemaniann Manifolds - Charlie SIRE, Mines Paris, PSL University, Centre for geosciences and geoengineering | |
15:40 - 16:00 | Coffee break | |
16:00 - 16:40 | Plenary Talk | (+) |
16:00 - 16:40 | › Learning data assimilation from artificial intelligence - Marc Bocquet, Centre d'Enseignement et de Recherche en Environnement Atmosphérique | |
16:40 - 16:50 | Poster Pitch Session | |
16:50 - 18:00 | Poster | (+) |
16:50 - 18:00 | › SPDE kriging for alluvial thickness mapping : application at a regional scale to the upper Seine and Aube watersheds. - Mathias Maillot, Bureau de Recherches Géologiques et Minières | |
16:50 - 18:00 | › Modélisation des liens statistiques entre les pressions des produits phytopharmaceutiques à différentes échelles et les impacts observés dans la chimie des eaux souterraines, par apprentissage automatique - Lynh HOANG-Vy-Thuy, Bureau de Recherches Géologiques et Minières | |
16:50 - 18:00 | › Learning with heavy-tailed inputs: Out-of-domain generalization on extremes. - Baptiste Leroux, Mathématiques Appliquées Paris 5 |
Friday, September 5, 2025
Time | Event | (+) |
08:30 - 09:00 | Welcome coffee | |
09:00 - 09:40 | Plenary Talk | (+) |
09:00 - 09:40 | › Distilling Machine Learning's Added Value: Pareto Fronts in Atmospheric Applications - Tom Beucler, University of Lausanne | |
09:40 - 10:40 | Deep learning | (+) |
09:40 - 10:00 | › Deep kernel learning for geostatistics - Thomas Romary, Mines Paris - PSL (École nationale supérieure des mines de Paris) | |
10:00 - 10:20 | › Score-based Generative Models for Heavy-tail and Rainfall Generation - Fassina Tiziano, Ecole des Mines - PSL - Fontainebleau | |
10:20 - 10:40 | › Simulations of spatial random field with deep generative adversarial networks - Charlie GARAYT, Mines Paris - PSL (École nationale supérieure des mines de Paris) | |
10:40 - 11:00 | Coffee break | |
11:00 - 11:40 | Plenary Talk | (+) |
11:00 - 11:40 | › Non-parametric intensity estimation of spatial point processes by random forests - Christophe Biscio, Department of Mathematical Sciences [Aalborg] | |
11:40 - 12:20 | Spatio-temporal | (+) |
11:40 - 12:00 | › Spatio-temporal generation of precipitations using a spatially correlated Bernoulli and hidden Markov model - Caroline Cognot, EDF Labs, Mathématiques et Informatique Appliquées | |
12:00 - 12:20 | › The modelling of counts of continuously moving individuals: a space-time geostatistical mindset for movement ecology - Ricardo Carrizo Vergara, Swiss Ornithological Institute | |
12:20 - 14:00 | Lunch | |
14:00 - 14:40 | Plenary Talk | (+) |
14:00 - 14:40 | › Rare event simulations, emulators, and machine learning for predicting extreme heat waves and extremes of renewable electricity production - Freddy Bouchet, Laboratoire de Météorologie Dynamique (UMR 8539) | |
14:40 - 15:40 | Climate and extremes | (+) |
14:40 - 15:00 | › Local area coefficients for spatial excursion sets, and how to use them for estimating nonstationary covariance models - Thomas Opitz, BioSP-INRAE | |
15:00 - 15:20 | › Graphical models for extreme events : understanding joint extremes of precipitation and river flow through graphical models - Rita Maatouk, École Nationale Supérieure des Mines de Paris [Fontainebleau] | |
15:20 - 15:40 | › Projecting frequencies of extreme rainfall compound events under climate change using bivariate extreme value modeling and bivariate bias corrections - Grégoire Jacquemin, Mines Paris - PSL (École nationale supérieure des mines de Paris) |