Publikationen der AG Inverse Probleme und Bildverarbeitung

Zeitschriftenartikel (5)

1. J. Bresch, D. Lorenz, F. Schneppe, M. Winkler.
   Computing adjoint mismatch of linear maps.
   Journal of Computational and Applied Mathematics, 488, 117853, 2026.

   DOI: 10.1016/j.cam.2026.117853
   online unter: https://arxiv.org/abs/2503.21361

2. J. Bresch, D. Lorenz, F. Schneppe, M. Winkler.
   Matrix-free stochastic calculation of operator norms without using adjoints.
   SIAM Journal on Matrix Analysis and Applications, 47(3):1349--137, SIAM, 2026.

   DOI: 10.1137/25M1772277
   online unter: https://epubs.siam.org/doi/full/10.1137/25M1772277

3. D. Lorenz, M. Winkler, A. Leitão, J. C. Rabelo.
   On inertial Levenberg-Marquardt type methods for solving nonlinear ill-posed operator equations.
   IMA Journal of Numerical Analysis, , Oxford University Press, 2026.

   DOI: 10.1093/imanum/drag017
   online unter: https://arxiv.org/abs/2406.07044

4. F. Schneppe, E. Naldi.
   The Influence of an Adjoint Mismatch on the Primal-Dual Douglas-Rachford Method.
   Optimization, , 1–38 S., Taylor & Francis, 2026.

   DOI: 10.1080/02331934.2026.2692689
   online unter: https://www.tandfonline.com/doi/citedby/10.1080/02331934.2026.2692689

5. S. Banert, C. Brauer, D. Lorenz, L. Tondji.
   Why the noise model matters: a performance gap in learned regularization.
   Inverse Problems, , 2026.

   DOI: 10.1088/1361-6420/ae3f4c
   online unter: https://arxiv.org/abs/2510.12521

Preprints (1)

1. L. Happ, S. Hendricks, C. M. Albrecht, L. Kaleschke, S. Patil, R. Fellegara, D. Lorenz.
   Advancing Sea Ice Surface Classification by Self-Supervised Contrastive Learning for Radar Altimetry.
   Zur Veröffentlichung eingereicht.

   DOI: 10.36227/techrxiv.176823164.49511515/v1