Scheduled presentations:

• Keynote What is machine learning learning? Autoencoders for reduced-order modelling of turbulence.
  *L. Magri (Imperial College London), D. Kelshaw (Imperial College London), N. Doan (TU Delft )
• Explainable transfer learning for stable and generalizable data-driven LES
  *Y. Guan (Rice University), A. Chattopadhyay (Rice University), P. Hassanzadeh (Rice University)
• Using deep learning techniques for solving convection-dominated convection-diffusion equations
  *D. Frerichs-Mihov (WIAS), L. Henning (Freie Universität Berlin), V. John (WIAS and Freie Universität Berlin)
• Learning models from single and multiple sources for fluid problems in engineering design and optimization
  *L. Mainini (Politecnico di Torino)