Program
Thursday, September 4, 2025
| Time |
Event |
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08:30 - 09:00
|
Welcome coffee |
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09:00 - 09:10
|
Introductory speech (RESSTE / Geolearning chair) |
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09:10 - 09:50
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Plenary Talk |
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09:10 - 09:50 |
› Arctic Ocean data assimilation assisted by machine learning - Laurent Bertino, Nansen Environmental and Remote Sensing Center [Bergen] |
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09:50 - 10:50
|
Machine learning |
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09:50 - 10:10 |
› Benchmarking probabilistic spatial machine learning models with complex sample distributions - Jérémy Rohmer, BRGM |
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10:10 - 10:30 |
› Model selection for spatial regression with cross-validation adapted to dependent data. - Valentina Bastidas Schade, Université Paris Nanterre - Modal'X |
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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) |
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10:50 - 11:10
|
Coffee break |
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11:10 - 11:50
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Plenary Talk |
(+)
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11:10 - 11:50 |
› Regular Variation in Hilbert Spaces and Principal Component Analysis for Functional Extremes - Anne Sabourin, Mathématiques Appliquées Paris 5 |
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11:50 - 12:30
|
Climate and extremes |
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11:50 - 12:10 |
› Analyzing the dynamics of extreme events with marked point processes. - Antoine Heranval, Biostatistique et Processus Spatiaux |
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12:10 - 12:30 |
› A complete characterization of indicator variograms and madograms - Xavier Emery, University of Chile |
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12:30 - 14:00
|
Lunch |
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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 |
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14:40 - 15:40
|
Spatial |
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14:40 - 15:00 |
› Cartographie des expositions environnementales en France : krigeage des données de qualité des sols - Mamadou Bailo BALDE, INERIS |
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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 |
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15:20 - 15:40 |
› Spline Interpolation on Riemaniann Manifolds - Charlie SIRE, Mines Paris, PSL University, Centre for geosciences and geoengineering |
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15:40 - 16:00
|
Coffee break |
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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 |
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16:40 - 16:50
|
Poster Pitch Session |
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16:50 - 18:00
|
Poster |
(+)
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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 |
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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 |
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16:50 - 18:00 |
› Learning with heavy-tailed inputs: Out-of-domain generalization on extremes. - Baptiste Leroux, Mathématiques Appliquées Paris 5 |
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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 |
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09:40 - 10:40
|
Deep learning |
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09:40 - 10:00 |
› Deep kernel learning for geostatistics - Thomas Romary, Mines Paris - PSL (École nationale supérieure des mines de Paris) |
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10:00 - 10:20 |
› Score-based Generative Models for Heavy-tail and Rainfall Generation - Fassina Tiziano, Ecole des Mines - PSL - Fontainebleau |
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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) |
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10:40 - 11:00
|
Coffee break |
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11:00 - 11:40
|
Plenary Talk |
(+)
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11:00 - 11:40 |
› Non-parametric intensity estimation of spatial point processes by random forests - Christophe Biscio, Department of Mathematical Sciences [Aalborg] |
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11:40 - 12:20
|
Spatio-temporal |
(+)
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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 |
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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 |
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12:20 - 14:00
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Lunch |
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14:00 - 14:40
|
Plenary Talk |
(+)
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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) |
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14:40 - 15:40
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Climate and extremes |
(+)
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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 |
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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] |
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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) |
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