General information
The school Machine Learning + Simulation takes place from Monday, May 18th to Friday, May 22nd 2026, at Inria Center at Université Côte d’azur, in Sophia-Antipolis. More details on the venue can be found here.
The school is organized into theoretical mini-classes, provided by lecturers, and practical sessions supervised by lecturers or local researchers.
It is particularly aimed at people with a scientific computing or applied mathematics background, who want to discover or deepen their knowledge of machine learning. No prerequisites in machine learning are necessary for the theoretical courses. However, a basic knowledge of the Python language is necessary for the practical sessions. The expected audience ranges from master’s students, doctoral students, and postdocs to engineers and researchers.
Lectures
- Frédéric Précioso (Université Côte d’Azur): introductory tutorial on machine learning
- Patrick Gallinari (Sorbonne Université): data-driven modeling
- Laurent Navoret & Rémi Imbach (Université de Strasbourg): physics-informed machine learning
- Laurent Cordier (Institut Pprime): reduced-order models and reinforcement learning for control
- Bertrand Iooss & Alejandro Ribes (EDF R&D): Machine learning-based metamodels for emulating industrial costly simulations and solving inverse problems
Detailed program can be found here.
Registration
This event is free of charge but registration is mandatory. Presence is expected for all courses of the school. Registration includes coffee breaks and lunch.
Please note that the number of places for this event is limited. Registration will be done on a first come – first served basis.
Registration can be done here.
For any information, please email to mlsim2026-contact@inria.fr