Dr.-Ing. Christopher Mutschler

Machine Learning and Data Analytics Lab Department Artificial Intelligence in Biomedical Engineering (AIBE) Lehrstuhl für Informatik 2 (Programmiersysteme)

Vae-Based Feature Disentanglement for Data Augmentation and Compression in Generalized Gnss Interference Classification (2025) Heublein L, Kocher S, Feigl T, Ruxsgamer A, Mutschler C, Ott F Conference contribution Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization (2025) Heublein L, Feigl T, Nowak T, Rugamer A, Mutschler C, Ott F Conference contribution AI-Augmented Digital Twin Framework for Scalable 5G/6G Network Densification (2025) Schubert J, Yammine G, Karbownik P, Maestri A, George N, Stahlke M, Feigl T, et al. Conference contribution Definition of a Neural Network for an IR Positioning System based on Energy Measurements (2025) Molto D, Aparicio-Esteve E, Hernandez A, Feigl T, Mutschler C, Urena J Conference contribution Passive Channel Charting: Locating Passive Targets using a UWB Mesh (2025) Poeggel R, Stahlke M, Pirkl J, Ott J, Yammine G, Feigl T, Mutschler C Conference contribution microYOLO: Towards Single-Shot Object Detection on Microcontrollers (2025) Deutel M, Mutschler C, Teich J Conference contribution, Conference Contribution Benchmarking Quantum Reinforcement Learning (2025) Meyer N, Ufrecht C, Yammine G, Kontes G, Mutschler C, Scherer DD Conference contribution On-Device Training of Fully Quantized Deep Neural Networks on Cortex-M Microcontrollers (2024) Deutel M, Hannig F, Mutschler C, Teich J Journal article, Original article Non-Line-of-Sight Detection for Radio Localization using Deep State Space Models (2024) Brasseler L, Stahlke M, Altstidl TR, Feigl T, Mutschler C Conference contribution, Original article Radio Foundation Models: Pre-training Transformers for 5G-based Indoor Localization (2024) Ott J, Pirkl J, Stahlke M, Feigl T, Mutschler C Conference contribution, Original article