Felix Friedrich
Machine Learning Group, Computer Science Department, TU Darmstadt. Hochschulstrasse 1, Room S1|03 075, 64289 Darmstadt, Germany
felix.friedrich (at) cs.tu-darmstadt (dot) de

Mission. My research interests are centered around artificial intelligence (AI) and how we can make these AI systems socially acceptable. My focus is to improve the explainability (XAI) and interpretability of deep learning models. Inspiration for XAI solutions can come from cognitive science, since the exploration and consideration of human behavior is inevitable and possibly the best motivation for precisely this human-machine interaction (XIL). This not only offers a better understanding of machine learning models, but uses human capabilities to incorporate knowledge outside of the rigid range of purely data-driven approaches.

2021 - now: Ph.D. student at the Machine Learning Lab, CS Department, TU Darmstadt, Germany.
2020: Erasmus+ at Chalmers University of Technology in Gothenburg, Sweden.
2019 - 2021: M.Sc. in computer science with minor in psychology from TU Darmstadt, Germany.
2018 - 2021: M.Sc. (with honors) in autonomous systems from TU Darmstadt, Germany.
2017: Research internship on intelligent autonomous driving systems at IAV GmbH , Germany.
2014 - 2017: B.Sc. in electrical engineering from TU Dortmund, Germany.

Supervised Courses.
SS 2021 Prof. Dr. Kristian Kersting, Deep Learning: Architectures and Methods
SS 2020 Prof. Dr. Kristian Kersting, Statistical Machine Learning


Publications can be found at DBLP, SemanticScholar