Deep Anomaly Detection on Tennessee Eastman Process Data. - Fabian Hartung; Billy Joe Franks; Tobias Michels; Dennis Wagner; Philipp Liznerski; Steffen Reithermann; Sophie Fellenz; Fabian Jirasek; Maja Rudolph; Daniel Neider; Heike Leitte; Chen Song; et al. (CoRR, 2023)

TimeSeAD: Benchmarking Deep Multivariate Time-Series Anomaly Detection. - Dennis Wagner; Tobias Michels; Florian C. F. Schulz; Arjun Nair; Maja Rudolph; Marius Kloft (Trans. Mach. Learn. Res., 2023)

Optimizing Small Language Models for In-Vehicle Function-Calling. - Yahya Sowti Khiabani; Farris Atif; Chieh Hsu; Sven Stahlmann; Tobias Michels; Sebastian Kramer; Benedikt Heidrich; M. Saquib Sarfraz; Julian Merten; Faezeh Tafazzoli (CoRR, 2025)