Dr. Sebastian Banert

Veranstaltungen (Auswahl)vollständige Liste

1. Mathematik 1b (Sommersemester 2025)
2. Mathematik 1a für Wirtschaftsingenieure (Wintersemester 2024/2025)
3. Selected Topics in Convex Optimization (Sommersemester 2024)

Abschlussarbeiten (Auswahl)vollständige Liste

1. Stochastic gradient descent with steering (Oskar Bircks)

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. M. Upadhyaya, S. Banert, A. B. Taylor, P. Giselsson.
   Automated tight Lyapunov analysis for first-order methods.
   Mathematical Programming, 209:133-170, 2025.

   DOI: 10.1007/s10107-024-02061-8
   online unter: https://arxiv.org/abs/2302.06713

3. S. Banert, P. Giselsson, M. Upadhyaya.
   The Chambolle-Pock method converges weakly with $\theta>1/2$ and $\tau \sigma \|L\|^2 < 4 /(1+2 \theta)$.
   Optimization Letters, , Springer Verlag, 2025.

   DOI: 10.1007/s11590-025-02250-0

4. S. Banert, O. Öktem, J. Adler, J. Rudzusika.
   Accelerated Forward-Backward Optimization using Deep Learning.
   SIAM Journal on Optimization, 34(2), 2024.

   DOI: 10.1137/22M1532548
   online unter: https://arxiv.org/abs/2105.05210

5. S. Banert, P. Giselsson, H. Sadeghi.
   Incorporating history and deviations in forward–backward splitting.
   Numerical Algorithms, , 2023.

   DOI: 10.1007/s11075-023-01686-8