Program

Thu. 07 Fri. 08 List

	Thu. 07	Fri. 08
08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00	Welcome coffee 8:30 - 9:00 (30min) Welcome coffee Introduction speech (RESSTE/ Chaire Geolearning) 9:00 - 9:10 (10min) Introduction speech (RESSTE/ Chaire Geolearning) Spatial 9:10 - 10:50 (1h40) Spatial Denis Allard › Object Oriented Spatial Statistics for the analysis of georeferenced complex data - Alessandra Menafoglio, Modeling and Scientific Computing 09:10-09:50 (40min) › Maximum likelihood inference of a non stationary anisotropical SPDE model of bathymetry - Nicolas BEZ, MARine Biodiversity Exploitation and Conservation 09:50-10:10 (20min) › Spatial forecasting of cereals' specific weight, moisture and protein contents using a geographically weighted regression in northwestern France - Emma Thulliez, Laboratoire de Mathématiques de l'INSA de Rouen Normandie 10:10-10:30 (20min) › A Spatially Constrained Bayesian Network for Lithological Mapping - Victor Silva dos Santos, Institut National de la Recherche Scientifique [Québec] 10:30-10:50 (20min) Coffee break 10:50 - 11:10 (20min) Coffee break Gaussian processes 11:10 - 12:30 (1h20) Gaussian processes Cécile Hardouin › Inférence statistique pour des champs gaussiens basée sur des caractéristiques géométriques - Anne Estrade, Mathématiques Appliquées Paris 5 11:10-11:50 (40min) › Spatial statistics and stochastic partial differential equations: a mechanistic viewpoint - Denis Allard, Biostatistique et Processus Spatiaux 11:50-12:10 (20min) › Gaussian processes for spatio-temporal data on surfaces - Mike Pereira, Mines Paris - PSL 12:10-12:30 (20min) Lunch 12:30 - 14:00 (1h30) Lunch Deep learning 14:00 - 15:40 (1h40) Deep learning Hans Wackernagel › Some statistical insights into physics-informed neural networks - Gérard Biau, Laboratoire de Probabilités, Statistique et Modélisation 14:00-14:40 (40min) › Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inference - Florentin Coeurdoux, Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189, Signal et Communications 14:40-15:00 (20min) › Simulation of Complexly Correlated Spatial Data with Deep Generative Adversarial Networks: Application to 2D Structural Geomodeling - Charlie GARAYT, Mines Paris - PSL (École nationale supérieure des mines de Paris), Geovariances 15:00-15:20 (20min) › Conditional geological facies generation using Denoising Diffusion Models - Ferdinand Bhavsar, Mines Paris - PSL 15:20-15:40 (20min) Coffee break 15:40 - 16:00 (20min) Coffee break Gaussian processes 16:00 - 17:20 (1h20) Gaussian processes Liliane Bel › Introduction to Gaussian process with inequality constraints, Application to coast flooding risk - Francois Bachoc, Institut de Mathématiques de Toulouse 16:00-16:40 (40min) › Spatial prediction with spatially clustered data by combining residual kriging and instance-based transfer learning - Jérémy Rohmer, Bureau de Recherches Géologiques et Minières 16:40-17:00 (20min) › Chained Gaussian processes with derivative information to model battery health degradation with uncertainties - Benjamin Larvaron, TotalEnergies, Université de Lorraine 17:00-17:20 (20min) Poster presentations 17:20 - 17:30 (10min) Poster presentations Poster 17:30 - 18:30 (1h) Poster › Kriging Weather Data on Pressure Levels for Aviation - Remi Perrichon, ENAC 17:30-18:30 (1h) › Modélisation bayésienne des tendances spatio-temporelles des propriétés du sol à l'aide de INLA et SPDE : application aux données de la Base de Données des Analyses de Terre. - Nicolas Saby, Info&Sols 17:30-18:30 (1h) › SimABC : Simulation of Atmosphere over Basins to describe Climate - Jean Beaumont, Biostatistique et Processus Spatiaux 17:30-18:30 (1h) › Un nouvel estimateur des niveaux de densité utilisant les complexes simpliciaux. Application à la détection des clusters de galaxies - Louis Hauseux, Inria 17:30-18:30 (1h) › An emulation study of the canopy radiative transfer model in a continental surface model ORCHIDEE - Mandresy Rasolonjatovo, LSCE 17:30-18:30 (1h) Conference dinner 19:30 - 21:00 (1h30) Conference dinner (Mandatory registration) Restaurant L’Ecailler du château 3 Rue Royale, 77300 Fontainebleau	Extremes and Climate 9:00 - 10:40 (1h40) Extremes and Climate Thomas Opitz › On modelling space-time threshold exceedances - Carlo Gaetan, Dipartimento di Scienze Ambientali, Informatica e Statistica [Venezia] 09:00-09:40 (40min) › Investigation on compound events: Can CMIP6 models reproduce their main statistical features? - Grégoire Jacquemin, Mines Paris - PSL (École nationale supérieure des mines de Paris) 09:40-10:00 (20min) › A fully non-stationary trans-Gaussian geostatistical model for the spatial analysis of daily rainfall over complex topography - Lionel Benoit, INRAE - BioSP 10:00-10:20 (20min) › Multivariate spatiotemporal stochastic weather generator - Said OBAKRIM, Biostatistique et Processus Spatiaux 10:20-10:40 (20min) Coffee break 10:40 - 11:10 (30min) Coffee break Stochastic geometry 11:10 - 12:30 (1h20) Stochastic geometry Mike Pereira › Point process learning: A new statistical approach for point processes - Ottmar Cronie, University of Gothenburg 11:10-11:50 (40min) › Modéliser la surveillance épidémiologique par un processus ponctuel séquentiel marqué - François D'Alayer de Costemore d'Arc, Biostatistique et Processus Spatiaux 11:50-12:10 (20min) › Linking isotopic compositions in feather and spatial patterns of environmental isotopes to infer birds wintering origins and movements: the case of the European Turtle dove (Streptopelia turtur) - Carole Doucerain, Département des Géosciences - ENS Paris 12:10-12:30 (20min) Lunch 12:30 - 14:00 (1h30) Lunch Machine learning 14:00 - 15:20 (1h20) Machine learning Nicolas Desassis › Global sensitivity analysis of model outputs with dependent inputs: New insights around Shapley effects - Bertrand Iooss, EDF R&D 14:00-14:40 (40min) › Modélisation de l'écoulement par réseau de neurones profond - Erwan Gloaguen, Centre Eau Terre Environnement [Québec] 14:40-15:00 (20min) › Towards the inversion of plumes from power plants and industrial sites in satellite CO2 images using deep neural networks - Joffrey Dumont Le Brazidec, Centre d'Enseignement et de Recherche en Environnement Atmosphérique 15:00-15:20 (20min) Coffee break 15:20 - 15:40 (20min) Coffee break Geostatistics 15:40 - 16:40 (1h) Geostatistics Xavier Freulon › Comparaison de méthodes de localisation de traces de terres en criminalistique - Amelie DEVRESSE, Mines PSL, IRCGN 15:40-16:00 (20min) › Géostatistique et modélisation environnementale : exemples & Rex - Chantal de Fouquet, Mines Paris - PSL 16:00-16:40 (40min) Closure 16:40 - 16:45 (05min) Closure

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