Nick Heilenkötter

Deep Learning Methods for Partial Differential Equations and Related Parameter Identification Problems

P. Maass, U. Iben, A. Rademacher, 2022, ArXiv.

Argument Search: Assessing Argument Relevance

Matthias Hagen, Benno Stein, Martin Potthast, 2019, SIGIR.

Deeply Supervised UNet for Semantic Segmentation to Assist Dermatopathological Assessment of Basal Cell Carcinoma

Jean Le'Clerc Arrastia, T. Boskamp, P. Maass, 2021, J. Imaging.

Deep learning methods for partial differential equations and related parameter identification problems

P. Maass, U. Iben, A. Rademacher, 2022, Inverse Problems.

Invertible residual networks in the context of regularization theory for linear inverse problems

P. Maass, Alexander Denker, Sören Dittmer, 2023, Inverse Problems.

Bayesian view on the training of invertible residual networks for solving linear inverse problems

Sören Dittmer, Clemens Arndt, T. Kluth, 2023, Inverse Problems.

Equivariant Neural Networks for Indirect Measurements

Matthias Beckmann, Nick Heilenkötter, 2023, ArXiv.