Artificial Intelligence Workshop on Inverse problems, Learning, Imaging and Data science in the West – AI WILD West
We are pleased to announce the organization of the workshop: AI WILD West (Artificial Intelligence Workshop on Inverse problems, Learning, Imaging and Data science in the West)
- Dates: January 29–30, 2026
- Location: CentraleSupélec, Rennes campus
- Topics: inverse problems, artificial intelligence, applied mathematics, data science, imaging
The aim of the workshop is to bring together researchers working at the interface of artificial intelligence, inverse problems, and applied mathematics, with applications in translational research, imaging and data science, in a small-scale format that fosters scientific exchanges.
Plenary speakers:
- Laure Blanc-Féraud (CNRS, I3S, Univ. Côte d’Azur, Sophia Antipolis, France)
- Émilie Chouzenoux (Inria, CentraleSupélec, Univ. Paris-Saclay, France)
- Clément Elvira (IETR, CentraleSupélec, France)
- Barbara Pascal (CNRS, LS2N, France)
- Andrew Reader (King’s College, London, United Kingdom)
- Georg Schramm (KU Leuven, Belgium)
- Julián Tachella (CNRS, ENS Lyon, France)
- Pierre Weiss (CNRS, IRIT, France)
Call for contributions:
If you wish to contribute, please send a detailed abstract (maximum 2 pages) by December 1, 2025 to: aiwildwest.workshop@gmail.com, with the subject line “Workshop Contribution”, including the title of your contribution. Doctoral students are especially encouraged to submit their work, even if still in progress.
Organizers:
- Hong-Phuong Dang (CentraleSupélec / IETR – AIMAC Rennes)
- Alexandre Bousse (INSERM / LaTIM Brest)
Registration: [link to page]
Registration is free but mandatory to ensure the best possible conditions for all participants.
All practical information (program, submissions, registration) will soon be available on the workshop website.
