Scheduled presentations:

• Rephrasing High-dimensional, PDE-based, Bayesian Inverse Problems
  *V. Scholz (Technical University Munich), P. Koutsourelakis (Technical University Munich)
• Enhancing bayesian model updating via learnable mappings with application to structural health monitoring
  M. Torzoni (Politecnico di Milano), S. Mariani (Politecnico di Milano), *A. Manzoni (Politecnico di Milano)
• Scalable Uncertainty Quantification for Deep Molecular Models
  *J. Zavadlav (Technical University of Munich)
• Uncertainty quantification of time-average quantities of chaotic systems
  *G. Papadakis (Imperial College London), K. Kantarakias (Imperial College London)
• Inferring Unknown Unknowns with the Real-Rime Data Assimilation with the Regularized Bias-Aware Ensemble Kalman Filter
  A. Novoa (Imperial College London), *L. Magri (Imperial College London)