Sebastian
Müller

Research Focus:

Trustworthy Machine Learning

What problems are you currently working on?

  1. A user-centered quantifying measures for quality assessment of explanations.
  2. Word sense disambiguation using a hybrid approach.

What are you particularly interested in?

Equipping ML Models with a combination of an abstract reasoning mechanism and complex knowledge to obtain an interpretable model that is able to produce situation dependent explanations.