Scheduled presentations:

• Markov Chain Monte Carlo on Matrix Manifolds for Probabilistic Model Order Reduction
  *A. Vizzaccaro (University of Exeter), M. Likkeggard (digiLab), T. Dodwell (digiLab)
• Graph Neural Network with a physics-inductive bias for Multi-body Dynamical Systems
  *V. Sharma (EPFL,IMOS Lab), O. Fink (EPFL,IMOS Lab)
• PDE-Constrained manifold Gaussian Processes for High-Dimensional Problems
  *W. Yan (University of Twente), M. Guo (University of Twente)
• Neural Networks Based Surrogate Modeling for Sensitivity Estimation of MEMS Accelerometers Using Electric Stimuli
  *F. Zacchei (Politecnico di Milano), A. Manzoni (Politecnico di Milano), A. Frangi (Politecnico di Milano)
• Multi-fidelity Modelling for Digital Twins of Fast Processes
  *M. Dodt (KU Leuven), S. Marelli (ETH Zurich), A. Persoons (KU Leuven), M. Faes (TU Dortmund University), B. Sudret (ETH Zurich), D. Moens (KU Leuven)