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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Unpublished / Preprint
Unpublished / Preprint
Publication year
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Abstract
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Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning (2026)
Raichur NL, Heublein L, Feigl T, Ruegamer A, Mutschler C, Ott F
Unpublished / Preprint
C-MCTS: Safe Planning with Monte Carlo Tree Search (2026)
Parthasarathy D, Kontes G, Plinge A, Mutschler C
Unpublished / Preprint
Simplicity is Key: An Unsupervised Pretraining Approach for Sparse Radio Channels (2026)
Ott J, Stahlke M, Feigl T, Eskofier B, Mutschler C
Unpublished / Preprint
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
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
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