Scheduled presentations:

• Keynote Sparsity-promoting dictionary learning algorithms based on hierarchical Bayesian models
  *E. Somersalo (Case Western Reserve University), D. Calvetti (Case Western Reserve University)
• Coupled Learning of Populational Inverse Problems and Physics-Informed Neural Operators
  D. Akyildiz (Imperial College London), M. Girolami (University of Cambridge), A. Stuart (California Institute of Technology), *A. Vadeboncoeur (University of Cambridge)
• Multiscale Modelling with Data-Driven Brain Networks: Misfolded Proteins and Astrocytic Clearance in Alzheimer’s Disease
  *H. Shaheen (University of Manitoba), R. Melnik (Wilfrid Laurier University)
• Geometric Control over Machine Learning Models for Visual Anomaly Detection
  *J. Fulir (Fraunhofer ITWM), C. Garth (RPTU Kaiserslautern-Landau), P. Gospodnetić (Fraunhofer ITWM)
• ACBICI: Enhancing Bayesian Calibration for Computationally Intensive and Uncertain Systems
  *C. Schenk (IMDEA Materials Institute), I. Romero (Universidad Politécnica de Madrid), Y. Liu (IMDEA Materials Institute)