Dr. Lionel Tondji

Projekte

1. Training Data Driven Experts in Optimization (01.06.2020 - 01.12.2024)

Veranstaltungen (Auswahl)vollständige Liste

1. Selected Topics on Optimization for Machine Learning (Sommersemester 2024)

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. L. Tondji, I. Necoara, D. Lorenz.
   Acceleration and restart for the randomized Bregman-Kaczmarz method.
   Linear Algebra and its Applications, 699:508-538, 2024.

   DOI: 10.1016/j.laa.2024.07.009
   online unter: https://arxiv.org/abs/2310.17338

3. L. Tondji, I. Tondji, D. Lorenz.
   Adaptive Bregman-Kaczmarz: An approach to solve linear inverse problems with independent noise exactly.
   Inverse Problems, 40(9), 095006, IOPscience, 2024.

   DOI: 10.1088/1361-6420/ad5fb1
   online unter: https://arxiv.org/abs/2309.06186

4. L. Tondji.
   Advances in Bregman-Kaczmarz Methods: Accelerations and Inconsistency.
   Dissertationsschrift, TU Braunschweig, 2024.
5. D. Lorenz, F. Schneppe, L. Tondji.
   Linearly convergent adjoint free solution of least squares problems by random descent.
   Inverse Problems, 39(12), 125019, 2023.

   DOI: 10.1088/1361-6420/ad08ed
   online unter: https://arxiv.org/abs/2306.01946