Machine Learning for Inverse Problems - WS22/23

Lecturer: Prof. Dr. Thomas Schuster
Time and Location: Tuesday 12-14 in HS IV, Thursday 12-14 in SR 6
Start: Tuesday, 25.10.2022
NEWS:
Please register for the lecture by Monday, 24 October 2022. Please do so at your earliest convenience such that we are able to plan lecture and tutorials appropriately.
Please register via email by meiser[at]num.uni-sb.de!
Criteria for exam admission
To be announced.
Tutorials
Tutorial dates will be announced.
Exam
Oral exam.
Lecture slides
Please note that the lecture slides do not replace the participation of the lecture itself.
There is no warranty for correctness of the slides.
Literature
We recommend to consider the following literature joined with the lecture:
https://www.infomath-bib.de/tmp/vorlesungen/mathe-core_machine-learning-for-inverse-problems.html
Office hours
Clemens Meiser: Tuesday 10 - 11, please write an email
Thomas Schuster: Tuesday 11 - 12 preferred, please write an email
Any questions?
What are inverse problems? What are examples for inverse problems? Please visit our Research site.
Further questions (esp. concerning the lecture itself)? Please ask Clemens Meiser, who is responsible for that.