Manuel Marschall

According to our database, Manuel Marschall authored at least 7 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of four.

2026

Deep learning based posterior sampling for high-dimensional linear inverse problems.

Gerd Wübbeler, Franko Schmähling, Manuel Marschall, Clemens Elster

Comput. Stat., January, 2026

2024

Generative models and Bayesian inversion using Laplace approximation.

Manuel Marschall, Gerd Wübbeler, Franko Schmähling, Clemens Elster

Comput. Stat., May, 2024

2022

Assessment of Subsampling Schemes for Compressive Nano-FTIR Imaging.

Selma Metzner, Bernd Kästner, Manuel Marschall, Gerd Wübbeler, Stefan Wundrack, Andrey Bakin, Arne Hoehl, Eckart Rühl, Clemens Elster

IEEE Trans. Instrum. Meas., 2022

Low-rank tensor reconstruction of concentrated densities with application to Bayesian inversion.

Martin Eigel, Robert Gruhlke, Manuel Marschall

Stat. Comput., 2022

Assessment of sub-sampling schemes for compressive nano-FTIR imaging.

Selma Metzner, Bernd Kästner, Manuel Marschall, Gerd Wübbeler, Stefan Wundrack, Andrey Bakin, Arne Hoehl, Eckart Rühl, Clemens Elster

CoRR, 2022

2020

Adaptive stochastic Galerkin FEM for lognormal coefficients in hierarchical tensor representations.

Martin Eigel, Manuel Marschall, Max Pfeffer, Reinhold Schneider

Numerische Mathematik, 2020

An Adaptive Stochastic Galerkin Tensor Train Discretization for Randomly Perturbed Domains.

Martin Eigel, Manuel Marschall, Michael D. Multerer

SIAM/ASA J. Uncertain. Quantification, 2020