University of Bamberg
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Information Systems and Applied Computer Sciences

Cognitive Systems

  1.  University of bamberg
  2. Faculties
  3. Information Systems and Applied Computer Sciences
  4. Subject groups
  5. Applied Computer Science
  6. Cognitive Systems
  7. Team
  8. Wehner, Christoph

Christoph Wehner

Research Assistant (Doctoral Candidate)

Office: WE5/04.027
Consultation hour: by appointment

Phone: +49 951 863 2883
Email: christoph.wehner(at)uni-bamberg.de

Curriculum Vitae

since 11/2021Research Assistant in the project KIProQua founded by BayVFP at Cognitive Systems Group, Faculty of Information Systems and Applied Computer Sciences, Otto-Friedrich-Universität Bamberg, Germany
04/2019 - 10/2021Computing in the Humanities at the Faculty of Information Systems and Applied Computer Sciences, Otto-Friedrich-Universität Bamberg, Germany (Master of Science)
04/2018 - 09/2018Internship at the Innovation Strategy and Research Funding Department of Schaeffler Technologies AG & Co. KG
09/2014 - 03/2019Philosophy & Economics at the Faculty of Humanities & Social Sciences, University Bayreuth, Germany (Bachelor of Arts)

Research

How to incorporate human knowledge and preferences in machine learning methods?

Main Research Interests

  • Interactive and Interpretable Machine Learning on Knowledge Graphs

Methods

  • Knowledge Graphs Embeddings
  • Attribution Methods
  • Game Theory
  • Preference-Based Learning

Advised Student Theses

  • Evaluating the Faithfulness of XAI Attribution Methods -- End-To-End Testing Pipeline of Relevance-Based Attribution Methods on Computer Vision Foundation Models by Bartu Soykök

Are you interested in writing your thesis on one of the latter topics? And you want to solve real-world problems regarding root-cause detection in the production line of electric vehicle batteries?
Then feel free to contact me!

Publications

  • Wehner, C., Powlesland, F., Altakrouri, B., Schmid, U. (2022). Explainable Online Lane Change Predictions on a Digital Twin with a Layer Normalized LSTM and Layer-wise Relevance Propagation. In: Fujita, H., Fournier-Viger, P., Ali, M., Wang, Y. (eds) Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence. IEA/AIE 2022. Lecture Notes in Computer Science(), vol 13343. Springer, Cham. doi.org/10.1007/978-3-031-08530-7_52

Activities

  • ICPRAI2022 Doctoral Consortium in Paris, France
  • DeepLearn Summer School 2022 in Las Palmas de Gran Canaria, Spain