General information
The workshop Machine Learning + Simulation takes place from Monday, October 12th to Friday, October 16th 2026, at Mathematics laboratory Jean-Alexandre Dieudonné at Université Côte d’Azur, in Valrose campus in Nice. Details on the location and venue can be found here.
Topics
The worshop is focused on machine learning techniques in interaction with numerical simulations. All types of simulations are welcome and a large set of application fields is expected. The workshop covers in particular the following topics (not restrictive):
- – construction of parametric surrogate models from simulation outputs
- – model calibration, parameters identification and inverse problems
- – construction of hybrid models based on both experimental data and simulation results
- – deep learning for sciences (weather forecast, climate modeling, etc.)
- – deep learning for geometric design, geometry and mesh generation
- – data-based pre-treatments for simulations
- – generation of synthetic data
- – machine learning for post-treatment of simulation outputs and visualization
- – physics-informed machine learning
- – operator learning
- – hybridization of scientific computing and machine learning
Call for contribution
The workshop includes contributed sessions. To apply, please send a one-page abstract before June 22nd. Details are here.
Registration
Participation to the workshop is free of charge, but the registration is mandatory. Details on registration can be found here.
Program
The workshop includes keynote presentations and contributed sessions. Details are here.