Update [25/01]: Best working groups' Awards awarded to "Learning & Space-time extremes" and "Learning & space-time interpolation of geophysical dynamics" working groups.
Update [21/01]: slides of the introduction to NNslink
Update [20/01]: slides of the welcome session (link) and of the Open Forum session (link)
This workshop is co-organized in the framework of EUR Isblue (Interdisciplinary Graduate School for the Blue Planet, Brest, co-funded through by ANR grant ANR-17-EURE-0015), LEFE/MANU project IA-OAC,ANR project Melody and ANR AI Chair OceaniX (PI: R. Fablet, IMT Atlantique), which both aim at developing AI frameworks for Ocean-Atmosphere-Climate Science. Broadly speaking, the availability of large amounts of simulation and observation data and the emergence of artificial intelligence technologies (big data architectures, GPUs, prolific learning) open up new opportunities to explore open questions in ocean, atmospheric and climate sciences through a data-centric paradigm, rather than a "classical" physical paradigm, one of the central scientific challenges being precisely the ability to unify these two paradigms. The workshop aims to explore, review, discuss and advance these challenges.
The program will combine keynotes (see below invited speakers) and working groups. Any participant will have the opportunity to propose a theme for a working group during an initial open forum session. Two types of working groups will be encouraged: data-challenge-like groups and more prospective working groups investigating AI-based formulations for ocean/atmosphere/climate challenges.
Feel free to contact us for additional information: send a mail to ronan.fablet AT imt-atlantique.fr
List of keynote speakers:
Prof. Mihai Datcu, DLR, "AI and Earth Observation"
Prof. Anne Sabourin, TelecomParisTech, "PCA for Multivariate Extremes"
Prof. Ronan Fablet, IMT Atlantique/Lab-STICC, Brest, France
Dr. Bertrand Chapron, Ifremer, LOPS, Brest, France
Dr. Laurent Debreu, INRIA GRA, Grenoble, France
Prof. Patrick Gallinari, Sorbonne Univ., Paris, France
Dr. Julien Le Sommer, CNRS, IGE, Grenoble, France
Dr. Philippe Naveau, CNRS, LSCE, Paris, France
Prof. Sylvie Thiria, Sorbonne Univ., Paris, France
List of working groups' themes
The workshop will involve both methodological and topical working groups. Below is a preliminary list of the envisioned working groups (WGs), which may be updated during the open forum session the first day of the workshop:
Learning-based approaches for reduced-order (stochastic) modeling
Learning & Space-time extremes
Generative modeling for OAC processes
Automated NN generation from PDEs
Dynamical Systems, Optimal Transport & Physics-informed Learning
Learning closures for ocean dynamics
Learning-based separation of wave and eddy processes
(End-to-end) learning and space-time interpolation of geophysical dynamics
Learning & biogeochemical dynamics
Each workshop participant will have the opportunity to participate to at least one methodological WG and one topical WG. A short description of each is available (link).
Sponsors: The workshop is supported by IMT Atlantique, EUR Isblue, LEFE/MANU project IA-OAC, ANR project Melody (link) and ANR AI Chair OceaniX (link).