Sebastian Heidenreich

According to our database, Sebastian Heidenreich authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Mixed Noise and Posterior Estimation with Conditional DeepGEM.

Paul Hagemann, Johannes Hertrich, Maren Casfor, Sebastian Heidenreich, Gabriele Steidl

CoRR, 2024

2023

PyThia: A Python package for Uncertainty Quantification based on non-intrusive polynomial chaos expansions.

Nando Hegemann, Sebastian Heidenreich

J. Open Source Softw., October, 2023

Adaptive Nonintrusive Reconstruction of Solutions to High-Dimensional Parametric PDEs.

Martin Eigel, Nando Farchmin, Sebastian Heidenreich, Philipp Trunschke

SIAM J. Sci. Comput., April, 2023

2021

Adaptive non-intrusive reconstruction of solutions to high-dimensional parametric PDEs.

Martin Eigel, Nando Farchmin, Sebastian Heidenreich, Philipp Trunschke

CoRR, 2021

Efficient approximation of high-dimensional exponentials by tensornetworks.

Martin Eigel, Nando Farchmin, Sebastian Heidenreich, Philipp Trunschke

CoRR, 2021

Invertible Neural Networks Versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence.

Anna Andrle, Nando Farchmin, Paul Hagemann, Sebastian Heidenreich, Victor Soltwisch, Gabriele Steidl

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021