Dr. Christoph Brauer

Publikationen (Auswahl)vollständige Liste

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 unter: https://arxiv.org/abs/2510.12521

2. C. Brauer, N. Breustedt, T. de Wolff, D. Lorenz.
   Learning variational models with unrolling and bilevel optimization.
   Analysis and Applications, 22(3):569-617, World Scientific, 2024.

   DOI: 10.1142/S0219530524400037
   online unter: https://arxiv.org/abs/2209.12651

3. C. Brauer, D. Lorenz, L. Tondji.
   Group equivariant networks for leakage detection in vacuum bagging.
   30th European Signal Processing Confer- ence, EUSIPCO 2022.
   

   online unter: https://eurasip.org/Proceedings/Eusipco/Eusipco2022/pdfs/0001437.pdf

4. C. Brauer, D. Lorenz.
   Complexity and applications of the homotopy principle for uniformly constrained sparse minimization.
   Applied Mathematics & Optimization, 82(3):1-34, 2020.

   DOI: 10.1007/s00245-019-09565-2

5. C. Brauer, Z. Zhao, D. Lorenz, T. Fingscheidt.
   Learning to dequantize speech signals by primal-dual networks: an approach for acoustic sensor networks.
   IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
   

   DOI: 10.1109/ICASSP.2019.8683341