Institute of Media Informatics

Alex Bäuerle, M. Sc.

I completed my masters degree at the Institute of Media Informatics 2017 before joining the research group Visual Computing. Since then, I work on visualization in the domain of artificial intelligence. In case you want to know more about me and my research, go to my personal page.

Research interests

  • Neural Network Visualization
  • Explainable AI
  • AI Fairness

Lectures

I supervise(d) the following lectures:

  • Deep Learning for Graphics and Visualization (WS 19/20)
  • Projekt/Anwendungsfach Data Visualization (reoccuring)
  • Seminar Techniken zur visualisierung Neuronaler Netze (SS 18)
  • Interaktive Computergrafik (WS 17/18)

Theses and Projects

I gladly supervise theses from the field of neural networks. I am especially interested in generating visualizations of networks, training results and training data. We can, however, also discuss other topics in the field of neural Networks via mail or in my office.

Important: I do not have a list of topics here anymore, as this changes frequently. If you are interested in what I am doing, feel free to contact me.

Publications

Preprints

Peer-Reviewed

Measuring Model Biases in the Absence of Ground Truth

Osman Aka, Ken Burke, Alex Bäuerle, Christina Greer, Margaret Mitchell

arXiv:2103.03417, accepted at Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (Proc. of AAAI/ACM Conference on AI, Ethics, and Society 2021), 2021

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