57th Statistics Days
The Geolearning chair was strongly represented at the 57th Statistics Days, held in Clermont-Ferrand.
The Geolearning Chair held a scientific conference at Mines ParisTech on April 8, 2026. The conference was divided into two parts. The first part presented the various projects supported by the Chair. The second part focused on the state of the art and emerging challenges. The slides from the presentations are available below:
Program
10:00 AM: Advances in spatio-temporal data
- Statistical modeling of spatio-temporal data distributed over surfaces, Charlie Sire, post-doctoral fellow at Mines Paris – PSL.
- Effective methods for inferring spatio-temporal models, Alexandre Loret, PhD student Mines Paris – PSL.
- Extreme events on graphs, Rita Maatouk, PhD student Mines Paris – PSL.
- Modeling daily precipitation occurrence, with long periods of droughtAntoine Doizé, PhD student, Sorbonne University.
11:40 Methods for compound extreme events
- Analyzing temporal dependence between extreme events using point processes, Antoine Heranval, INRAE postdoctoral researcher.
- Quantification of compound events evolution under climate change through multivariate bias correction methods, Grégoire Jacquemin, PhD student Mines Paris – PSL.
12:20 Generative AI
- Deep Generative Models for hydrological time-series simulations, Ferdinand Bhavsar, INRAE post-doctoral fellow.
- Generative AI Modeling & Extreme Events and Heavytail distributions, Tiziano Fassina, doctoral student Mines Paris – PSL.
14 PM Software
- gstlearn, Nicolas Desassis, Research Fellow, Mines Paris – PSL.
- MSTWeatherGen, Denis Allard, Research Director, INRAE and Ahmed Boualam, Research Engineer, INRAE.
15pm Round table: The floor is given to patrons
17h15: The Geolearning chair: overview
17:30 PM: State of the art and some scientific roadblocks
- How can we bridge the gap between physical knowledge and statistical learning for spatio-temporal data? Thomas Romary, Professor, Mines Paris – PSL
- Can extreme weather events be quantified? Thomas Opitz, INRAE Research Director
- What generative AI for environmental data? Gabriel V. Cardoso, Research Fellow, Mines Paris – PSL
- Replaying the weather: the contribution of stochastic generators Lionel Benoit, INRAE Research Fellow
18:15 p.m.: Questions from the audience to the chair's sponsors and participating researchers
18:45 PM: Closing remarks and cocktails to continue the discussions
Link to the Geolearning Newsletter – February 2026
Participants in the scientific conference of April 8, 2026
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