Dr. Clemens Arndt

Publikationen (Auswahl)vollständige Liste

1. C. Arndt, J. Nickel.
   Invertible ResNets for inverse imaging problems: Competitive performance with provable regularization properties.
   Zur Veröffentlichung eingereicht.

   online unter: https://arxiv.org/abs/2409.13482

2. C. Arndt, S. Dittmer, N. Heilenkötter, M. Iske, T. Kluth, J. Nickel.
   Bayesian view on the training of invertible residual networks for solving linear inverse problems.
   Inverse Problems, 40 045021 40(4), IOPscience, 2024.

   DOI: 10.1088/1361-6420/ad2aaa
   online unter: https://www.x-mol.net/paper/article/1682514725633245184

3. C. Arndt, A. Denker, S. Dittmer, J. Leuschner, J. Nickel, M. Schmidt.
   Model-based deep learning approaches to the Helsinki Tomography Challenge 2022.
   Applied Mathematics for Modern Challenges, 1(2), 2023.

   DOI: 10.3934/ammc.2023007

4. C. Arndt, A. Denker, S. Dittmer, N. Heilenkötter, M. Iske, T. Kluth, P. Maaß, J. Nickel.
   Invertible residual networks in the context of regularization theory for linear inverse problems.
   Inverse Problems, 39(12), IOPscience, 2023.

   DOI: 10.1088/1361-6420/ad0660
   online unter: https://iopscience.iop.org/article/10.1088/1361-6420/ad0660

5. C. Arndt.
   Regularization Theory of the Analytic Deep Prior Approach.
   Inverse Problems, 38(11), 2022.

   DOI: 10.1088/1361-6420/ac9011