Scheduled presentations:

• Neural Empirical Interpolation Method for Nonlinear Model Reduction
  *M. Hirsch (University of California, Berkeley), F. Pichi (École Polytechnique Fédérale de Lausanne), J. Hesthaven (École Polytechnique Fédérale de Lausanne)
• Hybrid Autoencoder/Galerkin approach for nonlinear reduced order modelling
  *N. Lepage (CNAM), S. Beneddine (ONERA), C. Fiorini (CNAM), I. Mortazavi (CNAM), D. Sipp (ONERA), N. Thome (Sorbonne University)
• Flow Control with Data-Driven Approaches
  *A. Corrochano (Universidad Politécnica de Madrid), J. Canals (Universidad Politécnica de Madrid), L. Saavedra (Universidad Politécnica de Madrid), S. Le Clainche (Universidad Politécnica de Madrid)
• Physics-based, non-intrusive modeling for systems with spatially localized behavior through reduced/full-order model coupling
  *L. Gkimisis (Max Planck Institute for Dynamics of Complex), N. Aretz (The University of Texas at Austin), M. Tezzele (The University of Texas at Austin), P. Benner (Max Planck Institute for Dynamics of Complex), T. Richter (Otto-von-Guericke University Magdeburg), K. Willcox (The University of Texas at Austin)
• Approximation of acoustic black holes with finite element mixed formulations and artificial neural network correction terms
  A. Fabra (Universitat Politècnica de Catalunya), O. Guasch (La Salle), *J. Baiges (Universitat Politècnica de Catalunya), R. Codina (Universitat Politècnica de Catalunya)
• Distances between Proper Orthogonal Decomposition Reduced Subspaces of Repeating Subdomains
  *S. Ruan (Karlsruhe Institute of Technology), J. Yanez (Karlsruhe Institute of Technology), A. Class (Karlsruhe Institute of Technology)