1 citations · 2 across the 3 of their papers we have counts for
3 papers
Neural Network Localized Orthogonal Decomposition for Numerical Homogenization of Diffusion Operators with Random Coefficients
Fabian Kröpfl, Daniel Peterseim, Elisabeth Ullmann
This paper presents a neural network--enhanced surrogate modeling approach for diffusion problems with spatially varying random field coefficients. The method builds on numerical h…
Consensus-based rare event estimation
Konstantin Althaus, Iason Papaioannou, Elisabeth Ullmann
In this paper, we introduce a new algorithm for rare event estimation based on adaptive importance sampling. We consider a smoothed version of the optimal importance sampling densi…
EP-PINNs: Cardiac Electrophysiology Characterisation using Physics-Informed Neural Networks
Clara Herrero Martin, Alon Oved, Rasheda A Chowdhury +4
Accurately inferring underlying electrophysiological (EP) tissue properties from action potential recordings is expected to be clinically useful in the diagnosis and treatment of a…