Workshop on Machine Learning and Automatic Differentiation in JAX for Scientific Computing

Strasbourg, France
June 8 - 12, 2026

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.


Registration

Participants are required to register for the workshop by filling out the online registration form. Registration is free of charge but mandatory. The registration form can be found at this link.
Registrations will be processed on a first-come, first-served basis, until the maximum capacity is reached. If you wish to attend the workshop, please register as soon as possible. If you are on the waiting list, you will be notified if a spot becomes available.



Provisional organizing committee

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