Dr.-Ing. Christopher Mutschler

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

C-MCTS: Safe Planning with Monte Carlo Tree Search (2026) Parthasarathy D, Kontes G, Plinge A, Mutschler C Unpublished / Preprint microYOLO: Towards Single-Shot Object Detection on Microcontrollers (2025) Deutel M, Mutschler C, Teich J Conference contribution, Conference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 Uncertainty-Based Fingerprinting Model Monitoring for Radio Localization (2024) Stahlke M, Feigl T, Kram S, Eskofier B, Mutschler C Journal article, Original article Uncertainty-based Fingerprinting Model Selection for Radio Localization (2023) Stahlke M, Feigl T, Kram S, Eskofier B, Mutschler C Conference contribution, Original article Multipath Delay Estimation in Complex Environments using Transformer (2023) Ott J, Stahlke M, Kram S, Feigl T, Mutschler C Conference contribution, Original article Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks (2023) Altstidl TR, Nguyen A, Schwinn L, Köferl F, Mutschler C, Eskofier B, Zanca D Conference contribution, Original article Indoor Localization with Robust Global Channel Charting: A Time-Distance-Based Approach (2023) Stahlke M, Yammine G, Feigl T, Eskofier B, Mutschler C Journal article, Original article