Oberseminar
In each semester we host an oberseminar with topics from mathematical imaging, inverse problems, convex optimization, machine learning and other topics.
Currently the seminar is online on
Zoom every Monday from 14:00 to 16:00.
Summer term 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 |
Previous semesters
Winter term 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 |
|
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| 11/01/2024 |
|
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| 18/01/2024 |
|
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| 25/01/2024 |
|
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| 01/02/2024 |
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