Machine Learning + Simulation workshop - 12 to 16 October 2026

The topics covered during this workshop will focus on the interactions and couplings between machine learning techniques and numerical simulation methods across all fields of application, in particular:

• the construction of parametric reduced-order models from simulation results
• calibration, parameter identification and inverse problems via machine learning
• the construction of hybrid simulations based on data and physical models
• deep learning for science (weather forecasting, climate models, etc.)
• machine learning for geometric design and mesh generation
• data-driven pre-processing of simulations
• synthetic data generation
• machine learning for simulation post-processing and scientific visualisation
• physics-informed learning
• operator learning
• hybridisation of simulators and machine learning techniques

(non-exhaustive list).

Those interested in contributing to this workshop should send a one-page abstract by 22 June to mlsim-contact@inria.fr

Full details are available here: https://project.inria.fr/mlsim2026/workshop/