Scheduled presentations:

• Random Projection-based Operator Networks for Learning Linear and Nonlinear PDEs Operators
  G. Fabiani (Johns Hopkins University), I. Kevrekidis (Johns Hopkins University), *C. Siettos (University of Naples Federico II), A. Yannacopoulos (Athens University of Economics and Business)
• Mapping CFD Simulations to ML Convolutions
  *E. Saetta (University of Naples Federico II), A. Paolino (University of Naples Federico II), R. Tognaccini (University of Naples Federico II), D. Pucci (Italian Institute of Technology), G. Iaccarino (Stanford University)
• Latent Dynamics Graph Convolutional Autoencoders
  *L. Tomada (SISSA), F. Pichi (SISSA), G. Rozza (SISSA)
• Towards data-driven quasi-conformal surface parameterization
  *S. Imperatore (IMATI-CNR), K. Raval (University of Florence), C. Giannelli (University of Florence)
• Discovery of slow invariant manifolds in dynamical systems
  D. Patsatzis (Scuola Superiore Meridionale), *L. Russo (STEMS-CNR), C. Siettos (Dip. Matematica, UNINA)
• Neural ordinary differential equations for model order reduction of stiff systems
  *M. Caldana (Politecnico di Milano), J. Hesthaven (Karlsruhe Institute of Technology)
• A coordinate transformation-based physics-informed neural networks for hyperbolic conservation laws
  *Y. Chen (Ocean University of China), Z. Gao (Ocean University of China), J. Hesthaven (Karlsruher Institut für Technologie), Y. Lin (Nanjing Tech University), X. Sun (Ocean University of China)