Scheduled presentations:

• Data-driven Closure Strategies for Parametrized Reduced Order Models via Deep Operator Networks
  *A. Ivagnes (SISSA, Trieste), G. Stabile (University of Sant'Anna, Pisa), G. Rozza (SISSA, Trieste)
• A CNN-LSTM Approach for Parameter Estimation in a Time-Dependent PDE Model for Metal Battery Cycling
  *M. Quarta (University of Salento), I. Sgura (University of Salento), R. Barreira (†Instituto Politécnico de Setúbal), B. Bozzini (Department of Energy, Politecnico di Milano)
• A Variational Bayesian Method for Autoregressive and Recurrent Models
  *D. Coscia (International School of Advanced Studies), M. Welling (University of Amsterdam), N. Demo (FAST Computing), G. Rozza (International School of Advanced Studies)
• Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators
  *L. Pellegrini (University of Pavia), M. Ghiotto (University of Pavia), E. Centofanti (University of Pavia), L. Pavarino (University of Pavia)
• Scientific Machine Learning Approaches to Cardiac Inverse Problems for Reconstructing Stimuli and Ischemia from Pseudo-ECG
  *E. Centofanti (University of Pavia), G. Ziarelli (University of Milan), S. Scacchi (University of Milan)
• Cultural Heritage Conservation: a framework based on PINNs and ROMs
  F. Colace (University of Salerno), D. Conte (University of Salerno), F. Pichi (SISSA), G. Rozza (SISSA), *C. Valentino (University of Salerno)