Contributions in this session:

• (Keynote) What is machine learning learning? Autoencoders for reduced-order modelling of turbulence.
  L. Magri*, D. Kelshaw, N. Doan
• Explainable transfer learning for stable and generalizable data-driven LES
  Y. Guan*, A. Chattopadhyay, P. Hassanzadeh
• Using deep learning techniques for solving convection-dominated convection-diffusion equations
  D. Frerichs-Mihov*, L. Henning, V. John
• Learning models from single and multiple sources for fluid problems in engineering design and optimization
  L. Mainini*
• Improvements for Uncertainty Estimation in Active Learning – Towards Automated Multifidelity Metamodels
  H. Pehlivan Solak*, J. Wackers, R. Pellegrini, A. Serani, M. Diez