Dr.-Ing. Christopher Mutschler

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

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 Energy-efficient Deployment of Deep Learning Applications on Cortex-M based Microcontrollers using Deep Compression (2023) Deutel M, Woller P, Mutschler C, Teich J Conference contribution, Conference Contribution Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning (2023) Meyer N, Scherer DD, Plinge A, Mutschler C, Hartmann M Conference contribution Quantum Policy Gradient Algorithm with Optimized Action Decoding (2023) Meyer N, Scherer DD, Plinge A, Mutschler C, Hartmann M Conference contribution Complementary Semi-Deterministic Clusters for Realistic Statistical Channel Models for Positioning (2022) Alawieh M, Eberlein E, Jaeckel S, Franke N, Ghimire B, Feigl T, Yammine G, Mutschler C Other publication type Transfer Learning to adapt 5G AI-based Fingerprint Localization across Environments (2022) Stahlke M, Feigl T, Castañeda García MH, Richard A. SG, Seitz J, Mutschler C Conference contribution, Conference Contribution Delay Estimation in Dense Multipath Environments using Time Series Segmentation (2022) Kram S, Kraus C, Stahlke M, Feigl T, Thielecke J, Mutschler C Conference contribution, Conference Contribution IALE: Imitating Active Learner Ensembles (2022) Löffler C, Mutschler C Journal article, Original article Position Tracking using Likelihood Modeling of Channel Features with Gaussian Processes (2022) Kram S, Kraus C, Feigl T, Stahlke M, Robert J, Mutschler C Other publication type, preprint-Article An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility (2022) Schmidt LM, Brosig J, Plinge A, Eskofier B, Mutschler C Conference contribution