Prof. Dr. Ulrike von Luxburg
University of Tübingen
Department of Computer Science
Maria von Linden Str. 6
72076 Tübingen
Germany
Room: 30-5/A24
Phone: +49 (0)7071 29-70832
E-mail: ulrike.luxburg(at)uni-tuebingen.de
I am a professor for computer science, with research focus on the theory of machine learning.
Quick links:
- Publications
- My free online lectures on youtube: Statistical Machine Learning (2020), Mathematics for Machine Learning (2020), Theoretische Informatik (2021, in German)
I am looking for teaching assistants for the lecture Mathematics of Machine Learning in the coming winter term 2024/25. If you are interested, please apply soon (we start screening in june).
News:
Our exhibition "Cyber and the City:
Künstliche Intelligenz bewegt Tübingen"
receives the
of the German Research Foundation /
Stifterverband! It took
took place all of last year in the Tuebingen City
Museum, here is the
exhibition webpage by the students.
Research. My research focus is on theoretical questions about unsupervised machine learning: understanding implicit biases and assumptions of machine learning algorithms, giving formal guarantees to some algorithms, and proving how other algorithms systematically fail. In particular, we currently ask all these questions in the context of explainable machine learning. Publications Our research seminar Research questions
I am coordinating the research cluster Machine learning: New Perspectives for Science (jointly with Philipp Berens), and the CZS Institute for AI and Law (together with Michele Finck and Stefan Thomas).
Teaching See our teaching page for links to lectures, topics for Bachelor / Master theses, comments about taking exams, etc.
Public AI discussion. In the city of
Tübingen, and also in the wider context of Germany,
there is an ongoing discussion about research in artificial
intelligence and its impact on future society. I find this
discussion important and actively participate(d) in quite a
number of
events. Most
notably, our AI exhibition in the Tübingen City Museum:
Created jointly by 36 master students of
anthropology and machine learning, Thomas Thiemeyer and Tim
Schaffarczik (anthropology), Guido Szymanska and Wiebke
Ratzeburg (museum) and myself, running from Feb 2023 - Jan
2024.
Webpage by the
students.
Other than that, consider watching my lectures on ML
and society, or the german lecture
Wie funktioniert maschinelles lernen, or reading the corresponding text
Wie funktioniert maschinelles lernen (pdf).. Or watch my
Kinderuni lecture on youtube: ``Warum ist künstlich Intelligenz nicht immer gerecht?'' (Why is AI not always fair?)
Short CV, awards, community service: see here
Funding and transparency: see here.
Code and data sets : see here.
Job applications (interns, PhD students, Postdocs): see here.