Dr. Lionel Tondji
Research Assistant AG Inverse Problems and ImagingProjects
- Training Data Driven Experts in Optimization (01.06.2020 - 01.12.2024)
Courses (Selection)
- Selected Topics on Optimization for Machine Learning (Sommersemester 2024)
Publications (Selection)
- 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 at: https://arxiv.org/abs/2310.17338 - 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 at: https://arxiv.org/abs/2309.06186 - L. Tondji.
Advances in Bregman-Kaczmarz Methods: Accelerations and Inconsistency.
Dissertationsschrift, TU Braunschweig, 2024. - 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 at: https://arxiv.org/abs/2306.01946 - L. Tondji, D. Lorenz, I. Necoara.
An accelerated randomized Bregman-Kaczmarz method for strongly convex linearly constraint optimization.
2023 European Control Conference (ECC).