Dr.-Ing. Christopher Mutschler

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

Reinforcement Learning Framework for Robust Navigation in GNSS Receivers (2024) Contreras DF, Cortes I, Kontes G, Feigl T, Mutschler C, Ruegamer A Conference contribution, Original article Velocity-Based Channel Charting with Spatial Distribution Map Matching (2024) Stahlke M, George Y, Feigl T, Eskofier B, Mutschler C Journal article Estimating Multipath Component Delays with Transformer Models (2024) Ott J, Stahlke M, Feigl T, Mutschler C Journal article Uncertainty-Based Fingerprinting Model Monitoring for Radio Localization (2024) Stahlke M, Feigl T, Kram S, Eskofier B, Mutschler C Journal article, Original article Few-Shot Learning with Uncertainty-based Quadruplet Selection for Interference Classification in GNSS Data (2024) Ott F, Heublein L, Raichur NL, Feigl T, Hansen J, Ruegamer A, Mutschler C Conference contribution, Original article Warm-Start Variational Quantum Policy Iteration (2024) Meyer N, Murauer J, Popov A, Ufrecht C, Plinge A, Mutschler C, Scherer DD Conference contribution Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks (2024) Meyer N, Ufrecht C, Periyasamy M, Plinge A, Mutschler C, Scherer DD, Maier A Conference contribution Fused-Layer CNNs for Memory-Efficient Inference on Microcontrollers (2024) Deutel M, Hannig F, Mutschler C, Teich J Conference contribution, Conference Contribution 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