Premier séminaire de la chaire Geolearning

La chaire Geolearning a tenu son premier séminaire de travail du 31 mars au 3 avril 2025 à la Villa Clythia à Fréjus. Le séminaire a réuni les chercheurs, doctorants et post-doctorants impliqués dans la chaire pour échanger sur les projets scientifiques en cours. Des universitaires invités, issus de Sorbonne Université, d’AgroParisTech en encore de l’université Ca’ Foscari, Venise (Italie) et de l’Université de Lausanne (Suisse) ont également participé activement à ce colloque. Les présentations scientifiques peuvent être téléchargées en suivant les liens ci-dessous.

Spatio-temporel

Mike PEIRERA Higher time regularity of SPDE-based Gaussian processes using fractional brownian motion

Denis ALLARD Modeling and simulating spatio-temporal multivariate and non-stationary Gaussian Random Fields: a Gaussian mixtures perspective

Xavier FREULON Spectral simulation of a spatio-temporal random field on the three-dimensional sphere

Charlie SIRE Statistical modeling of spatio-temporal data distributed over surfaces

Thomas ROMARY Deep kernel learning for geostatistics

Edith GABRIEL Integrating Spatial Modeling and Machine Learning for Plant Health Surveillance

Extrêmes et climat

Olivier WINTENGERGER Self-normalization of sums of dependent random variables

Thomas OPITZ Input-to-output propagation of tail behavior, with application to a dynamic space-time model for air pollution

Nicolas ECKERT A few statistical challenges in glaciology

Rita MAATOUK Graphical models for extreme events: Joint modeling of precipitation and extreme river flow in the Garonne watershed

Antoine HERENVAL Analyzing the dynamics of extreme events with marked point processes

Carlo GAETAN Multivariate modeling of low, moderate and large positive values without threshold selection steps

Grégoire JACQUEMIN Return period of non-concurrent climate compound events: a nonparametric bivariate Generalized Pareto approach

Gloria BURITICA Extreme rainfall temporal modeling and estimation of extreme concomitant events

Stochastic Weather Generators

Antoine DOIZE A stochastic precipitation generator with heavy rainfalls and long periods of drought

Lionel BENOIT Improving rainfall gradients modeling by conditioning daily rainfall maps to monthly totals

Denis ALLARD  MSTWeathergen – et les SWG dans la chaire Geolearning

Approches génératives et PINNs

Sylvain LE CORFF VAE for state space models: theoretical guarantees, practical implementation and online learning

Garbriel VICTORINO CARDOSO Generative proxies of spatial non-homogeneous Gaussian processes: Opportunities and limitations

Ferdinand BHASVAR Deep Generative Models for Spatial and Spatiotemporal Simulation of Natural Phenomena

Grégoire MARIETHOZ Generation of synthetic remote sensing images with ultrasimple but ultrafast approaches

Lucia CLAROTTO Parameter and density estimation in SDEs via PINNs and Normalizing Flows: applications to environmental sciences

Gstlearn

Nicolas DESASSIS   Gstelearn  Roadmap

Pierre GUILLOU et Fabien ORS   Gstlearn Engineering