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)
8:30 - 9:00 (30min)
Welcome coffee
›9:00 (10min)
9:00 - 9:10 (10min)
Introductory speech (RESSTE / Geolearning chair)
›9:10 (40min)
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)
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)
10:50 - 11:10 (20min)
Coffee break
›11:10 (40min)
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)
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)
12:30 - 14:00 (1h30)
Lunch
›14:00 (40min)
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)
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)
15:40 - 16:00 (20min)
Coffee break
›16:00 (40min)
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)
16:40 - 16:50 (10min)
Poster Pitch Session
›16:50 (1h10)
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)
