Mathematik, Arbeitsrichtung Angewandte Mathematik

Fabian Altekrüger

Kontakt

Technische Universität Berlin
Institut für Mathematik

Straße des 17. Juni 136
10623 Berlin

Raum MA 479
Tel.: +49 - (0)30 - 314-28036
Email: altekrueger (at) math.tu-berlin.de, fabian.altekrueger (at) hu-berlin.de
Profiles: Github

Sekretariat MA 4-3 Julia Wilton
Raum MA 476 Email: wilton (at) math.tu-berlin.de

Publications

F. Altekrüger, J. Hertrich and G. Steidl (2023).
Neural Wasserstein Gradient Flows for Maximum Mean Discrepancies with Riesz Kernels.
(arXiv Preprint#2301.11624)
[arxiv], [Code]

A. Kofler, F. Altekrüger, F. A. Ba, C. Kolbitsch, E. Papoutsellis, D. Schote, C. Sirotenko, F. Zimmermann and K. Papafitsoros (2023).
Learning Regularization Parameter-Maps for Variational Image Reconstruction using Deep Neural Networks and Algorithm Unrolling
(arXiv Preprint#2301.05888)
[arxiv]

F. Altekrüger, A. Denker, P. Hagemann, J. Hertrich, P. Maass and G. Steidl (2022).
PatchNR: Learning from Small Data by Patch Normalizing Flow Regularization.
(arXiv Preprint#2205.12021)
[arxiv], [Code]

F. Altekrüger and J. Hertrich (2022).
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution.
(arXiv Preprint#2201.08157)
[arxiv], [Code]