2 papers
math.NA2024
Adaptive Multilevel Neural Networks for Parametric PDEs with Error Estimation
Janina E. Schütte, Martin Eigel
To solve high-dimensional parameter-dependent partial differential equations (pPDEs), a neural network architecture is presented. It is constructed to map parameters of the model d…
cs.LG2023
Approximating Langevin Monte Carlo with ResNet-like Neural Network architectures
Charles Miranda, Janina Schütte, David Sommer +1
We sample from a given target distribution by constructing a neural network which maps samples from a simple reference, e.g. the standard normal distribution, to samples from the t…