Scheduled presentations:

• POD-ROM methods: from a finite set of snapshots to continuous-in-time approximations
  B. García-Archilla, V. John, J. Novo
• Boosting POD and reduced basis projection using data augmentation: producing artificial plausible snapshots.
  P. Díez
• Reducing the computational cost of ocean modeling with data-driven ROM
  L. Besabe, M. Girfoglio, A. Quaini*, G. Rozza
• Non-intrusive reduced-order modeling for dynamical systems with spatially localized features
  L. Gkimisis, N. Aretz, M. Tezzele, T. Richter, P. Benner, K. Willcox
• Adaptive Localized Training and Enrichment based on a Residual Localization Strategy
  T. Keil, M. Ohlberger, F. Schindler, J. Schleuß
• Optimal budget management for multi-fidelity approaches combining numerical solvers and deep learning surrogates
  P. Vitullo, N. Franco, P. Zunino