Program

The goal of this event is to introduce young researchers to the use of machine learning frameworks and automatic differentiation in scientific computing. This one-week program covers the principles of automatic differentiation, JAX, and its modules for scientific computing, along with examples of ML interaction, application-oriented code examples, and hands-on practical sessions. It will take place in Strasbourg University, France.

Practical sessions

Follow this link for the practical sessions' code and instructions: https://gitlab.math.unistra.fr/majsc2026/hands-on

Organizing committee

Matthieu Boileau (CNRS & Inria, Strasbourg, France)
Emmanuel Franck (Inria, Strasbourg, France)
Victor Michel-Dansac (Inria, Strasbourg, France)
Laurent Navoret (Université de Strasbourg, Inria, France)
Andrea Thomann (Inria, Strasbourg, France)