Multidisciplinary Institute in Artificial intelligence

Description

AISSAI/GAP2026 is the second edition of the Grenoble AI for Physical Sciences (GAP) workshop, following the great success of its inaugural edition in 2024. GAP brings together international experts working at the intersection of artificial intelligence and the physical sciences, with a particular focus on inverse problems, simulation-based inference, data-driven discovery, and foundational models for science. The 2026 edition will continue to highlight cutting-edge advances in theory, algorithms, high-performance computing, and applications across domains such as climate and geosciences, astrophysics, neuroscience, and engineering systems. The format emphasizes pedagogical and forward-looking invited talks that introduce fundamental concepts and survey current challenges and research frontiers. We expect around 200 participants this year. In addition to invited talks, the programme will feature a poster session to showcase ongoing research, encourage exchanges among participants, and stimulate new collaborations across disciplines.

Attendance and registration

The key dates for attending the workshop on-site are:

17-April 2026 : deadline for poster submissions
01-May 2026 : notification of acceptance of poster submissions
15-May 2026 : deadline for all registrations
The event will be streamed at https://videos.univ-grenoble-alpes.fr/live/events/
 

Keynote speakers

We will have the pleasure of having keynote talks of the following confirmed speakers:

Linus Bleinstein, EPFL
(foundational models for life sciences)

Patrick Galinari, Sorbonne Université
(foundational models for scientific applications)

Samuel Hurault, CNRS, Université Gustave Eiffel
(diffusion models, flow matching, and inverse problems)

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
(inverse problems for imaging)

Laurence Perrault-Levasseur, Université de Montréal
(bayesian methods for astronomy and cosmology)

Nelly Pustelnik, CNRS, ENS Lyon
(model-based neural networks)

Gabrielle Steidl, TU Berlin
(generative modelling)

Poster session

The event will host an engaging poster session that all attendees are invited to join with their own  poster. The goal is to make the poster session n key moment to share with other attendees your work related to GAP2026 topics and engage into vibrant discussions. Please submit a short abstract or the poster. The topic needs to be related to AISSAI/GAP2026, with a particular attention to works exploring the synergy between AI and High-Performance Computing (HPC) in the Exascale era. You can submit articles with work-in-progress, work already presented or published at a previous venue (for which you can reuse an already printed poster). A light selection will be done so to ensure that all posters are consistent with the topics of the workshop. Note, however, that there will be no proceedings.
 
You can submit your poster here

Program

The program is currently being polished and will soon be available.

However, what can be said already is that:

The talks on Wednesday 17-June will be from 9h to 12h30 and 14h to 17h30. 

• The workshop will propose a standing buffet for the lunch break, during which the contributed posters will be displayed.

The talks on Thursday 18-June will be from 9h to 12h30 and 14h to 17h30. 

• The workshop will propose a standing buffet for the lunch break, during which the contributed posters will be displayed.

The talks on Friday 19-June will be from 9h to 12h30.