Scientific Machine Learning
CIRM, Marseille, France
July 17 - August 25, 2023
Program
The goal of this event is to gather scientists from both the academic and industrial communities to work and discuss on Scientific Machine Learning. The program includes:
- 1 week summer school (July 17-21)
- 5 weeks Hackathon / Projects on projects proposed by academic scientists and/or industrial partners (July 24 - August 25)
Scientific Machine Learning
Scientific Machine Learning (SciML) is a relatively new research field based on both machine learning (ML) and scientific computing tools. Its aim is the development of new methods to solve several kinds of problems, which can be forward multidimensional partial differential equations, identification of parameters, or inverse problems. The methods we seek must be robust, reliable and interpretable. The new SciML tools allow the natural inclusion of data in the numerical simulation in order to generate new results. This new methodology will be at the forefront of the next wave of data-driven scientific discovery in the physical and engineering sciences. More precisely, our goals are:
- to introduce the mathematical concepts lying at the foundation of machine learning as used in scientific computing;
- to give an overview of the different approaches developed to address these problems;
- to give insight on the latest numerical tools in scientific machine learning and data inclusion for the solution of PDEs.
Scientific committee
Rémi Abgrall (Universtät
Zürich, Switzerland)
Patrick Galinari (Sorbonne
Université, Paris, France)
Jan Hesthaven (École Polytechnique
Fédérale de Lausanne, Switzerland)
Gitta
Kutyniok (Ludwig-Maximilians-Universität München, Germany)
Yvon Maday (Sorbonne Université, Paris, France)
Marc Schoenauer (Inria Saclay, France)
Aretha Teckentrup (University of Edinburgh,
Scotland)
Organizing committee
Didier Auroux (Université Côte d'Azur, Nice, France)
Konstantin Brenner
(Université Côte d'Azur, Nice,
France)
Martin Campos Pinto (Max-Planck-Institut für
Plasmaphysik, Garching bei München, Germany)
Bruno Després (Sorbonne Université, Paris,
France)
Victorita Dolean (Université Côte d'Azur, Nice,
France)
Emmanuel Frénod (Université Bretagne Sud, Vannes,
France)
Stéphane Lanteri (Inria, Nice, France)
Victor Michel-Dansac (Inria,
Strasbourg, France)