Scheduled presentations:

• Keynote Regularity-Conforming Neural Networks for PDEs
  *J. Taylor (CUNEF University), D. Pardo (UPV/EHU, BCAM, and Ikerbasque), J. Muñoz-Matute (BCAM and OICES)
• UltraPINNs: Exploiting ultraweak implementations to boost the performance of Variational PINNs
  M. Bastidas (University of the Basque Country (UPV/EHU)), C. Uriarte (BCAM and UPV/EHU), J. Taylor (CUNEF University), S. Rojas (Pontificia Universidad Católica de Valparaíso), *D. Pardo (UPV/EHU, BCAM, and Ikerbasque)
• An operator preconditioning perspective on training in physics-informed machine learning
  *T. De Ryck (ETH Zürich), E. de Bézenac (ETH Zürich), F. Bonnet (Sorbonne Université), S. Mishra (ETH Zürich)
• Convolution Neural Network for Fluid Flow Simulations in Cascade with Oscillating Blades
  *V. Heidler (University of West Bohemia), O. Bublík (University of West Bohemia), J. Vimmr (University of West Bohemia)