Scheduled presentations:

• Metamodeling of large parametric model using A-HDMR Kriging
  *C. Freyssinet (IRT Jules Verne), T. Moro (IRT Jules Verne)
• Flow-based Bayesian filtering for high-dimensional nonlinear stochastic dynamical systems
  *X. Wang (Shanghai Normal University), X. Guan (Tongji University), L. Guo (Shanghai Normal University), H. Wu (Shanghai Jiao Tong University)
• Learning Coarse Solvers with DeepONet for Hybrid Preconditioning of PDE Systems
  *C. Millevoi (University of Padua), C. Janna (University of Padua), M. Ferronato (University of Padua)
• Preconditioning for Neural Networks and Vice Versa
  *A. Heinlein (Delft University of Technology)
• Neural scaling laws for learning port Hamiltonian systems
  M. Roschkowski (University of Wuppertal), *K. Cherifi (SUPMICROTECH, FEMTO-ST), H. Gernandt (University of Wuppertal)
• Learning Guarantees and Scalable Algorithms for Sparse Sensing and Nonlinear System Identification
  *K. Manohar (University of Washington)