| Friday, September 5, 2025 | |
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                         08:00 
                        09:00 
                        10:00 
                        11:00 
                        12:00 
                        13:00 
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                        15:00 
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             ›8:30 (30min) 
                                                                
                                                             8:30 - 9:00 (30min) 
                        
                            Welcome coffee                         
                                                                                                                                            ›9:00 (40min) 
                                                                
                                                             9:00 - 9:40 (40min) 
                        
                            Plenary Talk                         
                                                                                                                                                    
                                        › Distilling Machine Learning's Added Value: Pareto Fronts in Atmospheric Applications
                                         - Tom Beucler, University of Lausanne
                                        
                                            09:00-09:40 (40min)
                                        
                                     
                                                            ›9:40 (1h) 
                                                                
                                                             9:40 - 10:40 (1h) 
                        
                            Deep learning                         
                                                                                                                                                    
                                        › Deep kernel learning for geostatistics
                                         - Thomas Romary, Mines Paris - PSL (École nationale supérieure des mines de Paris)
                                        
                                            09:40-10:00 (20min)
                                        
                                     
                                                                    
                                        › Score-based Generative Models for Heavy-tail and Rainfall Generation
                                         - Fassina Tiziano, Ecole des Mines - PSL - Fontainebleau
                                        
                                            10:00-10:20 (20min)
                                        
                                     
                                                                    
                                        › Simulations of spatial random field with deep generative adversarial networks
                                         - Charlie GARAYT, Mines Paris - PSL (École nationale supérieure des mines de Paris)
                                        
                                            10:20-10:40 (20min)
                                        
                                     
                                                            ›10:40 (20min) 
                                                                
                                                             10:40 - 11:00 (20min) 
                        
                            Coffee break                         
                                                                                                                                            ›11:00 (40min) 
                                                                
                                                             11:00 - 11:40 (40min) 
                        
                            Plenary Talk                         
                                                                                                                                                    
                                        › Non-parametric intensity estimation of spatial point processes by random forests
                                         - Christophe Biscio, Department of Mathematical Sciences [Aalborg]
                                        
                                            11:00-11:40 (40min)
                                        
                                     
                                                            ›11:40 (40min) 
                                                                
                                                             11:40 - 12:20 (40min) 
                        
                            Spatio-temporal                         
                                                                                                                                                    
                                        › Spatio-temporal generation of precipitations using a spatially correlated Bernoulli and hidden Markov model
                                         - Caroline Cognot, EDF Labs, Mathématiques et Informatique Appliquées
                                        
                                            11:40-12:00 (20min)
                                        
                                     
                                                                    
                                        › The modelling of counts of continuously moving individuals: a space-time geostatistical mindset for movement ecology
                                         - Ricardo Carrizo Vergara, Swiss Ornithological Institute
                                        
                                            12:00-12:20 (20min)
                                        
                                     
                                                            ›12:20 (1h40) 
                                                                
                                                             12:20 - 14:00 (1h40) 
                        
                            Lunch                         
                                                                                                                                            ›14:00 (40min) 
                                                                
                                                             14:00 - 14:40 (40min) 
                        
                            Plenary Talk                         
                                                                                                                                                    
                                        › 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)
                                        
                                            14:00-14:40 (40min)
                                        
                                     
                                                            ›14:40 (1h) 
                                                                
                                                             14:40 - 15:40 (1h) 
                        
                            Climate and extremes                         
                                                                                                                                                    
                                        › Local area coefficients for spatial excursion sets, and how to use them for estimating nonstationary covariance models
                                         - Thomas Opitz, BioSP-INRAE
                                        
                                            14:40-15:00 (20min)
                                        
                                     
                                                                    
                                        › 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]
                                        
                                            15:00-15:20 (20min)
                                        
                                     
                                                                    
                                        › 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)
                                        
                                            15:20-15:40 (20min)
                                        
                                     
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| Session | Speech | Logistics | Break | Tour |