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


Open Thesis/Hiwi. We work on interactive learning settings (XIL) and want to improve neural networks by human-AI interaction. We have several very exciting ideas in that area to make neural networks more human-centered and by that more interpretable. Here it is helpful, but not mandatory, if you are familiar with PyTorch and Deep Learning in general. If you have ideas yourself I'm also happy to discuss them. Please feel free to contact me in case of interest. Note: thesis proposal.

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. I'm part of 3AI at hessian.ai (personal site).

Timeline.
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, Germany.
2014 - 2017: B.Sc. in electrical engineering from TU Dortmund, Germany.

Supervised Courses.
SS 2022 Prof. Dr. Kristian Kersting, Data Mining and Machine Learning
WS 2021/22 Prof. Dr. Kristian Kersting, Introduction in AI
SS 2021 Prof. Dr. Kristian Kersting, Deep Learning: Architectures and Methods
SS 2020 Prof. Dr. Kristian Kersting, Statistical Machine Learning


Publications


Publications can be found at DBLP, SemanticScholar