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