4-5 Sep 2025 Fontainebleau (France)

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Tribute to Hans Wackernagel

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Program

Thu. 04 Fri. 05 List

Thursday, September 4, 2025

08:00

09:00

10:00

11:00

12:00

13:00

14:00

15:00

16:00

17:00

18:00

›8:30 (30min)

Welcome coffee

8:30 - 9:00 (30min)

Welcome coffee

›9:00 (10min)

Introductory speech (RESSTE / Geolearning chair)

9:00 - 9:10 (10min)

Introductory speech (RESSTE / Geolearning chair)

›9:10 (40min)

Plenary Talk

9:10 - 9:50 (40min)

Plenary Talk

› Arctic Ocean data assimilation assisted by machine learning - Laurent Bertino, Nansen Environmental and Remote Sensing Center [Bergen] 09:10-09:50 (40min)

›9:50 (1h)

Machine learning

9:50 - 10:50 (1h)

Machine learning

› Benchmarking probabilistic spatial machine learning models with complex sample distributions - Jérémy Rohmer, BRGM 09:50-10:10 (20min)

› Model selection for spatial regression with cross-validation adapted to dependent data. - Valentina Bastidas Schade, Université Paris Nanterre - Modal'X 10:10-10:30 (20min)

› 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) 10:30-10:50 (20min)

›10:50 (20min)

Coffee break

10:50 - 11:10 (20min)

Coffee break

›11:10 (40min)

Plenary Talk

11:10 - 11:50 (40min)

Plenary Talk

› Regular Variation in Hilbert Spaces and Principal Component Analysis for Functional Extremes - Anne Sabourin, Mathématiques Appliquées Paris 5 11:10-11:50 (40min)

›11:50 (40min)

Climate and extremes

11:50 - 12:30 (40min)

Climate and extremes

› Analyzing the dynamics of extreme events with marked point processes. - Antoine Heranval, Biostatistique et Processus Spatiaux 11:50-12:10 (20min)

› A complete characterization of indicator variograms and madograms - Xavier Emery, University of Chile 12:10-12:30 (20min)

›12:30 (1h30)

Lunch

12:30 - 14:00 (1h30)

Lunch

›14:00 (40min)

Plenary Talk

14:00 - 14:40 (40min)

Plenary Talk

› Hierarchical transfer learning with applications for electricity load forecasting - Yannig Goude, Laboratoire de Mathématiques d'Orsay 14:00-14:40 (40min)

›14:40 (1h)

Spatial

14:40 - 15:40 (1h)

Spatial

› Cartographie des expositions environnementales en France : krigeage des données de qualité des sols - Mamadou Bailo BALDE, INERIS 14:40-15:00 (20min)

› Efficient Bayesian spatially varying coefficients modeling for censored and clustered data using the vecchia approximation - Yacine IDIR, Ecoles des mines de Paris 15:00-15:20 (20min)

› Spline Interpolation on Riemaniann Manifolds - Charlie SIRE, Mines Paris, PSL University, Centre for geosciences and geoengineering 15:20-15:40 (20min)

›15:40 (20min)

Coffee break

15:40 - 16:00 (20min)

Coffee break

›16:00 (40min)

Plenary Talk

16:00 - 16:40 (40min)

Plenary Talk

› Learning data assimilation from artificial intelligence - Marc Bocquet, Centre d'Enseignement et de Recherche en Environnement Atmosphérique 16:00-16:40 (40min)

›16:40 (10min)

Poster Pitch Session

16:40 - 16:50 (10min)

Poster Pitch Session

›16:50 (1h10)

Poster

16:50 - 18:00 (1h10)

Poster

› 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 (1h10)

› 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 (1h10)

› Learning with heavy-tailed inputs: Out-of-domain generalization on extremes. - Baptiste Leroux, Mathématiques Appliquées Paris 5 16:50-18:00 (1h10)

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