Oberseminar
In jedem Semester veranstalten wir ein Oberseminar mit Themen aus mathematischer Bildverarbeitung, inversen Problemen, konvexer Optimierung, maschinellem Lernen und weiteren Gebieten.
Zur Zeit findet das Seminar jeden Mittwoch von 14:00 bis 15:30 im Raum MZH 5450 oder online auf
Zoom statt.
Sommersemester 2025
| Date |
Speaker |
Topic |
|
23.04.2025
|
Nina Öhlckers |
|
|
30.04.2025
|
Jürgen Jeschke |
Multispectral Computer Tomography
|
|
07.05.2025
|
Felix Schneppe |
Adjoint mismatch calculation |
|
14.05.2025
|
Sebastian Banert |
Frugal splitting |
|
21.05.2025
|
|
|
|
28.05.2025
|
Dirk Lorenz |
Bilevel learning of regularization of inverse problems |
Vorherige Semester
Wintersemester 2024
| Date |
Speaker |
Topic |
|
07.11.2024
|
Jürgen Jeschke |
Generalized Modulo Operators
|
|
14.11.2024
|
Annine Duclaire Kenne |
Machine Learning and climate change
|
|
05.12.2024
|
Jonas Bresch |
Denoising of Manifold-Valued Data by Relaxed Regularization
|
|
12.12.2024
|
|
|
|
16.01.2025
|
Clemens Arndt |
Analytic Deep Prior: Deep Image Prior formulated as a bilevel variational minimization problem
|
|
30.01.2025
|
Oskar Bircks |
Learning to optimize
|
|
06.02.2025
|
Pascal Fernsel |
Convergence Properties of Score-Based Models For Linear Inverse Problems Using Graduated Optimisation
|
|
20.02.2025
|
Markus Haltmeier |
Derivative-Free iterative One-Step Reconstruction for Multispectral CT
|
Sommersemester 2024
| Date |
Speaker |
Topic |
| 22.04.2024 |
Lionel Tondji |
Adaptive Bregman-Kaczmarz |
| 29.04.2024 |
Sebastian Banert |
Algorithms with learned deviations |
| 06.05.2024 |
Andreas Hauptmann |
Learned reconstruction methods and convergent regularization: linear plug-and-play denoiser |
| 13.05.2024 |
Dirk Lorenz |
The inertial Levenberg-Marquardt method for inverse problems |
| 20.05.2024 |
|
No seminar talk planned |
| 27.05.2024 |
Maximilian Winkler |
Intro to the SF-TR CT implementation |
| 03.06.2024 |
Felix Schneppe |
Adjoint-free norm estimation |
| 10.06.2024 |
Derick Tanyu |
Delving into Scientific Machine Learning: Solving PDEs and Parameter Identification with TorchPhysics |
| 17.06.2024 |
Nick Harcken |
Tutorium Talk on Optimal Transport |
| 24.06.2024 |
Sally Schiewelbein |
Seminar Talk Blind Source Separation |
Wintersemester 2023
| Date |
Speaker |
Topic |
| 23/11/2023 |
Andrea Ebner |
Regularization with non-linear frame filtering |
| 30/11/2023 |
Nicole Mücke |
How many Neurons do we need? A refined Analysis for Shallow Networks trained with Gradient Descent |
| 07/12/2023 |
|
|
| 14/12/2023 |
Judith Nickel |
Data-driven regularization theory of invertible ResNets for solving inverse problems |
| 21/12/2023 |
|
|
| 11/01/2024 |
|
|
| 18/01/2024 |
|
|
| 25/01/2024 |
|
|
| 01/02/2024 |
|
|
