Wednesday, April 1, 2026

Time Event (+)
08:00 - 08:00 Transportation information - TGV Paris Montparnasse 06:44 Rennes 08:15 -- TGV Paris Montparnasse 06:57 Rennes 08:25 -- TER Rennes 08:48 Ker-Lann 08:57 or Métro+Bus  
09:00 - 09:30 Welcome of participants - Registration - Welcome of participants - Registration  
09:30 - 10:15 Bayesian Modelling of Abundance Data in Ecology Using Joint Species Distribution Models - Pierre Gloaguen  
10:15 - 10:45 Gradient-enhanced global sensitivity analysis with Poincaré chaos expansions - David Heredia  
10:45 - 11:15 Coffee break  
11:15 - 11:45 On the construction of predictors under monotonicity and fairness constraints - Mathis Deronzier  
11:45 - 12:15 Mixture-Based Generative Modeling for Data Imputation and Synthesis - Antoine Faul  
12:15 - 12:45 Poster blitz 1  
12:45 - 14:00 Lunch  
14:00 - 14:30 Combining Kriging with optimal transport to estimate measure-valued data - application to metamodeling in nuclear safety - Florian Gossard  
14:30 - 15:00 Gradient-based active learning for Global Sensitivity Analysis - Guerlain Lambert  
15:00 - 15:30 Poster blitz 2  
15:30 - 16:00 Coffee break  
16:00 - 16:30 Approximation and learning with compositional tensor trains - Charles Miranda  
16:30 - 17:00 Physics-informed, boundary-constrained Gaussian processes with applications in fluid dynamics - Adrian Padilla-Segarra  
17:00 - 17:30 Design-marginal calibration of Gaussian process predictive distributions: Bayesian and conformal approaches - Aurélien Pion  
17:30 - 18:45 Poster session & Cocktail - Poster session & Cocktail  

Thursday, April 2, 2026

Time Event (+)
08:00 - 08:00 Transportation information - TER Rennes 08:48 Ker-Lann 08:57 or Métro+Bus  
09:15 - 10:30 Tutorial 1 - What is the Gaussian process of point processes? - Rémi Bardenet  
10:30 - 11:00 Coffee break  
11:00 - 11:45 Quantifying uncertainty in climate reanalyses - Pierre Tandeo  
11:45 - 12:30 Inference after human genetic clustering - Javier González-Delgado  
12:30 - 14:00 Lunch  
14:00 - 14:45 Percolation, weeds and Bayesian inference - Assessing seed bank influence on plant metapopulation dynamics - Apolline Louvet  
14:45 - 15:30 Explainability of electricity demand forecasting models: a Shapley value approach for positive component decomposition - Margaux Brégère  
15:30 - 16:00 Coffee break  
16:00 - 16:45 Invited talk 5 - Natalie Maus  
16:45 - 18:00 Poster session - Poster session  
19:30 - 19:30 Gala dinner  

Friday, April 3, 2026

Time Event (+)
08:00 - 08:00 Transportation information - TER Rennes 07:48 Ker-Lann 07:57 or Métro+Bus  
08:30 - 09:45 Tutorial 2 - What is the Gaussian process of point processes? - Rémi Bardenet  
09:45 - 10:15 Coffee break  
10:15 - 11:00 Spatialized Bayesian inference and uncertainty quantification on constrained co-domains with Gaussian Processes: application to the simplex. - Lucas Drumetz  
11:00 - 11:45 On Forgetting and Stability of Score-based Generative models - Sylvain Le Corff  
11:45 - 12:00 RT-UQ talk - Anthony Nouy  
12:00 - 13:15 Lunch  
13:15 - 13:15 End of conference - End of conference  
13:30 - 13:30 Transportation information - TER Ker-Lann 12:58 Rennes 13:08 or Bus+Métro then TGV Rennes 13:30 Paris Montparnasse 15:05 (Ouigo) -- TGV Rennes 13:35 Paris Montparnasse 15:05 (Inoui), TER Ker-Lann 13:54 Rennes 14:02 or Bus+Métro then TGV Rennes 15:35 Paris Montparnasse 17:02  
CNRS CCSD Sciencesconf