AI for Science

Forschungsinteressen und -themen

  • Automated scientific model and knowledge discovery
  • Automated experimental design
  • Automated data collection and analysis
  • Cross-disciplinary applications

Mitglieder

  • Martin Atzmüller
  • Tim Kietzmann
  • Sebastian Musslick (Sprecher)
  • Pascal Nieters (Sprecher)

AI for Scientific Discovery of Cognitive Control:

Gemeinsames Projekt mit der Princeton University finanziert durch den " Eric and Wendy Schmidt Transformative Technology Fund".

2025

 ProtoMask: Segmentation-Guided Prototype Learning. Steffen Meinert, Philipp Schlinge, Nils Strodthoff, Martin Atzmueller, 2025. 
 https://doi.org/10.48550/arXiv.2510.00683

 Comprehensive Evaluation of Prototype Neural Networks. Philipp Schlinge, Steffen Meinert, Martin Atzmueller. KI - Künstliche Intelligenz (2025)

 Evaluating Higher-Level and Symbolic Features in Deep Learning on Time Series: Towards Simpler Explainability. Schwenke, L., Stückemann, T., Atzmueller, M. In: Rojas, I., Joya, G., Catala, A. (eds) Advances in Computational Intelligence. IWANN 2025. Lecture Notes in Computer Science, vol 16008, S. 345-357. Springer, Cham.
doi.org/10.1007/978-3-032-02725-2_27