École d'été IA 2025
Présentation
Deux demi-journées avec des orateurs invités, l'une sur les défis scientifiques de la Terre solide, l'autre sur les avancées méthodologiques en IA, pour susciter de nouvelles collaborations entre les deux communautés.
Lieu
Grand amphithéâtre de l'Institut de physique du globe de Paris, 1 rue Jussieu, 75005 Paris.
Présentations
| Intervenant | Affiliation | Titre | Support |
|---|---|---|---|
| Quentin Bletery | AI-driven earthquake and tsunami early warning | - | |
| Charles Le Losq | From lava to eruptions: How AI can help advance volcanological research | - | |
| Jannes Münchmeyer | What can deep learning earthquake catalogs actually tell us? | - | |
| Catherine Pothier | Unsupervised data mining technique to extract patterns corresponding to aseismic SLOW slip events: application to the Izmit section of the north Anatolian fault | - | |
| Antoine Lucas | Can AI be leveraged to revisit unsolved problems in critical zone research? | - | |
| Giuseppe Costantino | Signal extraction from noisy geospatial data: detecting transient deformations through spatiotemporal deep learning | - | |
| Joachim Rimpot | Self-Supervised learning for the exploration of large seismological datasets | - | |
| Andrea Tomasi | Towards the prediction of elastic (seismic) anisotropy in the upper mantle using supervised deep-learning | - | |
| Christophe Rigotti | Bridging local and global explanations of tree ensemble predictions using co-clustering of SHAP values | - | |
| Sylvain Lobry | Foundation models for remote sensing: which one(s)? | - | |
| Erwan Allys | Unsupervised modeling and separation of seismic signals with scattering transforms | - | |
| Stéphanie Allassonnière | Taking advantage of geometry in Variational Autoencoders for data representation and augmentation | - |