An Adaptive Stochastic Galerkin Tensor Train Discretization for Randomly Perturbed Domains. - Martin Eigel; Manuel Marschall; Michael D. Multerer (SIAM/ASA J. Uncertain. Quantification, 2020)

Adaptive stochastic Galerkin FEM for lognormal coefficients in hierarchical tensor representations. - Martin Eigel; Manuel Marschall; Max Pfeffer; Reinhold Schneider (Numerische Mathematik, 2020)

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)

Low-rank tensor reconstruction of concentrated densities with application to Bayesian inversion. - Martin Eigel; Robert Gruhlke; Manuel Marschall (Stat. Comput., 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)

Generative models and Bayesian inversion using Laplace approximation. - Manuel Marschall; Gerd Wübbeler; Franko Schmähling; Clemens Elster (Comput. Stat., 2024)