Maximilian Stahlke

Machine Learning and Data Analytics Lab

Velocity-Based Channel Charting with Spatial Distribution Map Matching (2024) Stahlke M, George Y, Feigl T, Eskofier B, Mutschler C Unpublished / Preprint Uncertainty-based Fingerprinting Model Selection for Radio Localization (2023) Stahlke M, Feigl T, Kram S, Eskofier B, Mutschler C Conference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 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 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 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 Accuracy-Aware Compression of Channel Impulse Responses using Deep Learning (2021) Altstidl TR, Kram S, Herrmann O, Stahlke M, Feigl T, Mutschler C Conference contribution, Conference Contribution Estimating TOA Reliability with Variational Autoencoders (2021) Stahlke M, Kram S, Ott F, Feigl T, Mutschler C Journal article, Original article NLOS detection using UWB channel impulse responses and convolutional neural networks (2020) Stahlke M, Kram S, Mutschler C, Mahr T Conference contribution, Conference Contribution