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Dr.-Ing. Christopher Mutschler
List of publications:
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Machine Learning and Data Analytics Lab
Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Informatik 2 (Programmiersysteme)
Inventions
(5)
Project Memberships
(3)
Publications
(90)
Types of publications
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Journal article
Journal article
Book chapter / Article in edited volumes
Book chapter / Article in edited volumes
Authored book
Authored book
Translation
Translation
Thesis
Thesis
Edited Volume
Edited Volume
Conference contribution
Conference contribution
Other publication type
Other publication type
Unpublished / Preprint
Unpublished / Preprint
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Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression (2023)
Ott F, Raichur NL, Ruegamer D, Feigl T, Neumann H, Bischl B, Mutschler C
Other publication type
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
Active Learning of Ordinal Embeddings: A User Study on Football Data (2023)
Löffler C, Fallah K, Fenu S, Zanca D, Eskofier B, Rozell CJ, Mutschler C
Journal article, Online publication
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
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