Date : 2026-06-17 => 2026-06-19
Lieu : Grenoble
Dear colleagues,
(Apologies for cross-posting)
We are pleased to invite you to the AISSAI/GAP 2026 Workshop – Artificial Intelligence for Science, which will take place in Grenoble, France, from 17 to 19 June, 2026.
https://indico.math.cnrs.fr/event/15724/
Building on the GAP 2024 workshop held in Grenoble, AISSAI/GAP 2026 will explore the intersections between machine learning, artificial intelligence, and scientific modeling, with a particular emphasis on inverse problems for physical systems, differentiable physics, and simulation-based approaches. This workshop is part of the AISSAI thematic trimester on “HPC and AI convergence at the exascale era.”
The workshop aims to bring together researchers from machine learning, applied mathematics, computational physics, and related application domains, in order to foster interdisciplinary exchanges, stimulate new collaborations, and strengthen connections within the scientific community, particularly across the Alpine research ecosystem.
We are delighted to announce a strong lineup of invited speakers, who will deliver in-depth lectures covering both methodological advances and applications at the interface of AI and the sciences:
— Linus Bleinstein, EPFL (foundation models for life sciences)
— Patrick Galinari, Sorbonne Université (foundational models for scientific applications)
— Samuel Hurault, CNRS, Université Gustave Eiffel (diffusion models and flow matching: theory and applications)
— Ching-Yao Lai, Stanford University (physics-informed deep learning for inverse problems)
— Fanny Lehmann, ETH Zurich (foundational models for geophysical sciences)
— Jakob Macke, University of Tuebingen (simulation-based inference)
— Julien Mairal, Inria (machine learning for scientific Imaging)
— Laurence Perrault-Levasseur, Université de Montréal (bayesian methods for astronomy)
— Nelly Pustelnik, CNRS, ENS Lyon (model-based neural networks)
— Gabrielle Steidl, TU Berlin (generative flows)
In addition to the invited talks, the workshop will include an informal poster session (i.e. not peer reviewed, without proceedings), offering participants the opportunity to present recent work and ongoing research at the frontier of AI-driven scientific discovery.
Registration will be free but mandatory (limited to 200 participants).
Practical information, program updates, and registration details are available on the workshop website:
https://indico.math.cnrs.fr/event/15724/
We very much hope to welcome you in Grenoble for AISSAI/GAP 2026.
Best regards,
Pedro Rodrigues for the AISSAI/GAP 2026 organising committee
Notre site web : www.madics.fr
Suivez-nous sur Tweeter : @GDR_MADICS
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