Stefan Kolek

I obtained a Bachelor of Mathematics from LMU Munich and a Master of Mathematics at the Technical University of Berlin. Currently, I’m pursuing a Computer Science Ph.D. at LMU Munich. My research focuses on interpretable machine learning. A common theme in my PhD research is to use ideas and tools from sparse representations, such as wavelets and dictionary learning, for interpretable machine learning. Next to my interpretability reserach, I also work on privacy-preserving machine learning.

relAI Topics: Responsibility, Privacy