Program

08:30 - 09:00     Registration

09:00 - 09:15     Opening by Ralf Hiptmair

09:15 - 09:45     Talk by Thomas Wihler:
                            "A discrete calculus for hp-dG time stepping methods for linear and
                             nonlinear parabolic evolution equations"

09:45 - 10:15     Talk by Markus Melenk:
                            "Wavenumber-explicit $hp$-FEM analysis for Maxwell's equations in
                             piecewise smooth media"

10:15 - 10:45     Coffee break

10:45 - 11:15     Talk by Fernando Henriquez:
                            "Reduced order modeling for time-dependent problems using the
                             Laplace transform"

11:15 - 11:45     Talk by Andrea Barth:
                            "The Quasi Continuous-Level Monte Carlo method and its Application"

11:45 - 12: 15    Talk by Alexey Chernov:
                            "Analytic and Gevrey class regularity for parametric nonlinear problems"

12:15 - 14:00     Lunch break (individual)

14:00 - 14:30     Talk by Annika Lang:
                            "Simulation of random fields on Riemannian manifolds"

14:30 - 15:00     Talk by Viet-​Ha Hoang:
                            "Sparse tensor product finite elements for multiscale fractional partial
                             differential equations"

15:00 - 15:30     Coffee break

15:30 - 16:00     Talk by Chen Peng (virtual):
                            "Derivative-informed neural operators for PDE-constrained optimization
                             under uncertainty"

16:00 - 16:30     Talk by Claudia Schillings:
                            "Optimization Approaches for Bayesian Inverse Problems:
                             Preconditioning integration methods in the small noise or large data limit"

16:30 - 17:00     Talk by Vladimir Kazeev:
                            "Low-rank tensor structure for the data-driven approximation of PDEs"

18:30                  Apéro riche at ETH Dozentenfoyer

09:00 - 09:30     Talk by Jakob Zech:
                            "Nonparametric Distribution Learning via Neural ODEs"

09:30 - 10:00     Talk by Kristin Kirchner:
                            "Monte Carlo convergence rates for moments in Banach spaces"

10:00 - 10:30     Talk by Christos Xenophontos:
                            "The Spectral Boundary Layer mesh"

10:30 - 11:30     Coffee break    

11:30 - 12:00     Talk by Carlo Marcati:
                            "Neural network approximations of functions and operators for
                             elliptic PDEs"

12:00 - 12:30     Talk by Helmut Harbrecht:
                            "Samplet based kernel matrix compression"

13:00 - 15:00     Buffet Lunch