Bild: Katrin Glückler
Forschungsinteressen
- Representation Learning in Computer Vision
- Ethics in Computer Vision
- Reinforcement Learning
- Data Science im Gesundheitswesen
Short CV
| 2016 – 2019 | Bachelor of Science in Wirtschaftsinformatik (Sales and Consulting), Duale Hochschule Baden-Württemberg |
|---|---|
| 2019 – 2021 | Master of Science in Data Science, Universität Mannheim |
| Seit 2022 | Wissenschaftlicher Mitarbeiter am Institut for Enterprise Systems |
Publikationen
- Karvonen, A., Wright, B., Rager, C., Angell, R., Brinkmann, J., Smith, L. R., Verdun, C. M., Bau, D. und Marks, S. (2024). Measuring progress in dictionary learning for language model interpretability with board game models. In , ICML 2024 Workshop on Mechanistic Interpretability (S. 1–17). , OpenReview: .
- Rana, A., Oesterle, M. und Brinkmann, J. (2024). GOV-REK: Governed Reward Engineering Kernels for designing robust multi-agent reinforcement learning systems. In , AAMAS '24: proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems (S. 2429-2431). , International Foundation for Autonomous Agents and Multiagent Systems: Richland, SC.
- Brinkmann, J., Swoboda, P. und Bartelt, C. (2023). A multidimensional analysis of social biases in vision transformers.
In , Proceedings of the IEEE/
CVF International Conference on Computer Vision (ICCV) (S. 4914-4923). , IEEE: Paris, France. - Ernst, J. S., Marton, S., Brinkmann, J., Vellasques, E., Foucard, D., Kraemer, M. und Lambert, M. (2023). Bias mitigation for large language models using adversarial learning. In , Proceedings of the 1st Workshop on Fairness and Bias in AI co-located with 26th European Conference on Artificial Intelligence (ECAI 2023),Kraków, Poland, October 1st, 2023 (S. 1–14). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.