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Teaching and Theses

Teaching

Teaching

  • Machine Learning, WS 2024/25
  • Deep Learning, WS 2024/25
  • Probalistic Machine Learning, WS 2023/24

Final Thesis

Bachelor/Master Theses:
  • Dense Multicut: Erweiterung des Clusteringalgorithmus.
  • Persistenz für Clustering: Portierung der Persistenzkriterien auf GPU.
  • Feature Matching: Simplifizierung von  Deep Graph Matching via autoregressivem Decoding.
  • Multi-Kamera Object Tracking: Verbesserung von object tracking durch Fusion von Signalen aus mehreren Kameras.
  • Optimierung: Augmentierung von Optimierungsalgorithmen mit Methoden des maschinellen Lernens.
Software Projects:
  • Programmierung eines autonomen Raketenwerfers.
  • Implementierung von Agenten zum Spielen von Brettspielen, z.B. Backgammon.
Requirements:

If you would like to write a thesis in our group, the following previous knowledge is required as demnonstrated by passing

  • Bachelor: Machine Learning, ideally also have experience in Deep Learning
  • Master: Machine Learning and Deep Learning, if you would like to work on an optimazation topic, including linear programming or similar
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