Journées de Géostatistique - Sciencesconf.org

›8:40 (1h40)

Machine Learning
Valérie Monbet

8:40 - 10:20 (1h40)

Machine Learning

Valérie Monbet

› On Robust Estimation and Random Matrix Theories applied to Signal and Image Processing - 08:40-09:20 (40min)

› A Statistical Learning View of Simple Kriging. Connection with Kernel Ridge Regression - 09:20-09:40 (20min)

› Functional gradient descent boosting for additive non-linear spatial autoregressive model - 09:40-10:00 (20min)

› Variable selection in spatial models, application to income analysis in Uruguay rural areas - 10:00-10:20 (20min)

›10:20 (20min)

Pause café

10:20 - 10:40 (20min)

Pause café

›10:40 (1h40)

Grands jeux de données
Denis Allard

10:40 - 12:20 (1h40)

Grands jeux de données

Denis Allard

› Gaussian Process Computing with Vecchia's Approximation and the GpGp R Package - Joe Guinness, Cornell University 10:40-11:20 (40min)

› Non-Euclidean and non-stationary anisotropies: Comparing ordinary conformal kriging and SPDE - Nicolas BEZ, MARine Biodiversity Exploitation and Conservation 11:20-11:40 (20min)

› Socio-Spatial Complexity: Cities As Neural Networks -- A Case Study of Housing Prices Estimations - Sarah SOLEIMAN, Statistique, Analyse et Modélisation Multidisciplinaire (SAmos-Marin Mersenne) 11:40-12:00 (20min)

› Source detection in multicomponent fluid mixtures through Baysesian statistical analysis based on Gibbs point processes - Radu Stoica, IECL/Inria 12:00-12:20 (20min)

›12:20 (1h10)

Déjeuner

12:20 - 13:30 (1h10)

Déjeuner

›13:30 (1h20)

Deep learning
Xavier Freulon

13:30 - 14:50 (1h20)

Deep learning

Xavier Freulon

› Modélisation et Inversion des Modèles Stochastiques de Réservoir avec les GANs - 13:30-14:10 (40min)

› Simulations conditionnelles de dépôts sédimentaires par réseaux antagonistes génératifs - Nicolas Desassis, Centre de Géosciences 14:10-14:30 (20min)

› Adjusting spatial dependence of climate model outputs with Cycle-Consistent Adversarial Networks - 14:30-14:50 (20min)

›14:50 (20min)

Pause café

14:50 - 15:10 (20min)

Pause café

›15:10 (1h20)

Machine Learning
Chantal de Fouquet

15:10 - 16:30 (1h20)

Machine Learning

Chantal de Fouquet

› Exact Conditioning of Random Forest for Spatial Prediction - 15:10-15:50 (40min)

› Cartographie des ETMS dans les sols de France combinant le quantile regression forest et le krigeage avec dérive externe - Nicolas Saby, INFOSOL 15:50-16:10 (20min)

› Combining Global Climate Models Using Graph Cuts - Soulivanh Thao, Laboratoire des Sciences du Climat et de lÉnvironnement [Gif-sur-Yvette] 16:10-16:30 (20min)