The slides of all talks of the workshop are available here

https://cloud.univ-grenoble-alpes.fr/s/BT7sSPL2RWqYmeg

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The Grenoble Artificial Intelligence for Physical Sciences (GAP 2024) workshop will explore the intersections between machine learning research and the study of physical systems described by systems of differential equations. We expect to gather researchers from machine learning, computational physics and diverse application fields, in order to foster collaborations and strengthen connections within the scientific community, and in particular across the alpine region. Application fields will include climate science, geophysics, solid state physics, and neuroscience.

Registration for attending the workshop on-site  (including Julia Tutorial) are closed. In case you need to cancel your registration, send an email to gap2024@sciencesconf.org

Remote participation is still possible.

The event will be streamed at https://videos.univ-grenoble-alpes.fr/live/events/. 

To have access to the Q@A chat, please send us an email at gap2024@sciencesconf.org.

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

• Chris Rackauckas -- MIT (Scientific machine learning, Julia)

• David Greenberg -- Helmoltz Zentrum Hereon (Model-driven machine learning)

• Emmanuel de Bézenac -- ETH (Physics-informed neural networks)

• Gilles Louppe -- Université of Liège (Simulation-based inference) 

• Julia Gusak -- Inria (Neural ODEs, neural operators, and their efficiency)

• Marc Bocquet -- Ecole des Ponts ParisTech (Data assimilation and ML)

• Marylou Gabrié -- École Polytechnique (Generative modelling)

• Nicolas Boullé -- University of Cambridge (Operator learning for PDEs) 

• Nicolas Brodu -- Inria (Continuous causal states)

• Ronan Fablet -- IMT Atlantique (End-to-end neural data assimilation)

All presentations will provide a comprehensive overview of the field, equipping participants with the knowledge they need to delve into the specific applications and potential of machine learning in their respective domains.

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

However, what can be said already is that:

• The talks on Wednesday 29-May will start at 13h30 and finish at 17h. They will be followed by a wine & cheese gathering during which the contributed posters will be displayed.

• The talks on Thursday 30-May will be from 9h-12h30 and 14h-17h. The workshop will propose a standing buffet for the lunch break, during which the contributed posters will be displayed.

• On Friday 31-May 9h-12h there will be a hands-on session on scientific machine learning with Julia given by Chris Rackauckas.

Maison de la Création et de l'Innovation (MaCi) @ Université Grenoble Alpes

• Scientific Program and local organization:
  • Pedro L. C. Rodrigues, Inria, LJK
  • Julien Le Sommer, CNRS, IGE
  • Bruno Raffin, Inria, LIG
  • Jordi Bolibar, TU Delft - UGA, IGE
• Administrative support:
  • Annie Simon (Inria)
  • Elissa Mury (LJK)
    
• On-site help team:
  
  • Sofya Dymchenko, Inria, LIG
  • Eloise Touron, Inria, LJK
    
  • Camille Touron, Inria, LJK
    
  • Julia Linhart, Inria
  • Vadim Bertrand, UGA, IGE