Datamove is co-leading the organization of the Grenoble Artificial Intelligence for Physical Sciences workshop (GAP2024) at Grenoble, 29-30 May 2024. On-site registrations are closed after quickly reaching the 120 attendee limit. But still possible to participate remotely. The program is based on an impressive line-up of keynote speakers from the emerging domain of AI4Science:
- Chris Rackauckas — MIT (Scientific machine learning, Julia)
- David Greenberg — Helmoltz Zentrum Hereon (Model-driven machine learning)
- Emmanuel de Bézenac — ETH (Physics-informed neural networks)
- Gilles Louppe — Université of Liège (Simulation-based inference)
- Julia Gusak — Inria (Neural ODEs, neural operators, and their efficiency)
- Marc Bocquet — Ecole des Ponts ParisTech (Data assimilation and ML)
- Marylou Gabrié — École Polytechnique (Generative modelling)
- Nicolas Boullé — University of Cambridge (Operator learning for PDEs)
- Nicolas Brodu — Inria (Continuous causal states)
- Ronan Fablet — IMT Atlantique (End-to-end neural data assimilation)
