Publications of the year 2026
Articles (1)
- 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 at: https://arxiv.org/abs/2510.12521
Preprints (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.