Scheduled presentations:

• Keynote Kernel Method for Parametric PDE with Many Parameters
  *I. Sloan (The University of New South Wales)
• Filtered Kernel Interpolation for the Approximation of Higher-Dimensional Periodic Functions with good lattice points
  *M. Griebel (Uni Bonn, INS)
• The dimension weighted fast multipole method for scattered data approximation
  H. Harbrecht (Universität Basel), M. Multerer (Università della Svizzera italiana), *J. Quizi (Università della Svizzera italiana)
• Physics-informed Gaussian processes for parametric partial differential equations
  *T. El Ahmad (University of Edinburgh), T. Sullivan (University of Warwick), A. Teckentrup (University of Edinburgh)
• Product kernels are efficient and flexible tools for high-dimensional scattered data approximation
  *A. Iske (Universität Hamburg)