Dr.-Ing. Christopher Mutschler

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

Unsupervised Learning of Variational Autoencoders on Cortex-M Microcontrollers (2025) Deutel M, Plinge A, Seuss D, Mutschler C, Hannig F, Teich J Conference contribution, Conference Contribution Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML (2025) Deutel M, Kontes G, Mutschler C, Teich J Journal article, Original article Don’t get me wrong: How to apply deep visual interpretations to time series (2025) Löffler C, Lai WC, Zanca D, Schmidt L, Eskofier B, Mutschler C Journal article Multi-Objective Bayesian Optimization with Reinforcement Learning for Edge Deployment of DNNs on Microcontrollers (2025) Deutel M, Kontes G, Mutschler C, Teich J Conference contribution, Conference Contribution Metric-Based Few-Shot Learning With Triplet Selection for Adaptive GNSS Interference Classification (2025) Ott F, Heublein L, Feigl T, Rügamer A, Mutschler C Journal article Benchmarking Quantum Reinforcement Learning (2025) Meyer N, Ufrecht C, Yammine G, Kontes G, Mutschler C, Scherer DD Conference contribution Attention-Based Fusion of IQ and FFT Spectrograms with AoA Features for GNSS Jammer Localization (2025) Heublein L, Wielenberg C, Nowak T, Feigl T, Mutschler C, Ott F Conference contribution Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification (2025) Gaikwad NS, Heublein L, Raichur NL, Feigl T, Mutschler C, Ott F Conference contribution 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