Christopher Mutschler

152 papers A* 6A 2B 6C 19Misc 11Journal 70Unranked 36

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	5G-DIL: Domain Incremental Learning with Similarity-Aware Sampling for Dynamic 5G Indoor Localization. ICL-GNSS Nisha Lakshmana Raichur, Lucas Heublein, Christopher Mutschler, Felix Ott
2025	J	`jnl`	5G-DIL: Domain Incremental Learning with Similarity-Aware Sampling for Dynamic 5G Indoor Localization. CoRR Nisha Lakshmana Raichur, Lucas Heublein, Christopher Mutschler, Felix Ott
2025	C	`conf`	AI-Augmented Digital Twin Framework for Scalable 5G/6G Network Densification. IPIN Jakob Schubert, George Yammine, Piotr Karbownik, Andrea Maestri, Nisha George, Maximilian Stahlke, Tobias Feigl, Christopher Mutschler, Dominik Seuß
2025	J	`jnl`	Attention-Based Fusion of IQ and FFT Spectrograms with AoA Features for GNSS Jammer Localization. CoRR Lucas Heublein, Christian Wielenberg, Thorsten Nowak, Tobias Feigl, Christopher Mutschler, Felix Ott
2025	J	`jnl`	Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning. Trans. Mach. Learn. Res. Nisha Lakshmana Raichur, Lucas Heublein, Tobias Feigl, Alexander Rügamer, Christopher Mutschler, Felix Ott
2025	A*	`conf`	Benchmarking Quantum Reinforcement Learning. ICML Nico Meyer, Christian Ufrecht, George Yammine, Georgios D. Kontes, Christopher Mutschler, Daniel D. Scherer
2025	J	`jnl`	Benchmarking Quantum Reinforcement Learning. CoRR Nico Meyer, Christian Ufrecht, George Yammine, Georgios D. Kontes, Christopher Mutschler, Daniel D. Scherer
2025	J	`jnl`	Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML. ACM Trans. Evol. Learn. Optim. Mark Deutel, Georgios D. Kontes, Christopher Mutschler, Jürgen Teich
2025	C	`conf`	Definition of a Neural Network for an IR Positioning System based on Energy Measurements. IPIN David Moltó, Elena Aparicio-Esteve, Álvaro Hernández, Tobias Feigl, Christopher Mutschler, Jesús Ureña
2025	J	`jnl`	Don't get me wrong: How to apply deep visual interpretations to time series. Appl. Intell. Christoffer Löffler, Wei-Cheng Lai, Dario Zanca, Lukas Schmidt, Björn M. Eskofier, Christopher Mutschler
2025	—	`conf`	Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization. ICL-GNSS Lucas Heublein, Tobias Feigl, Thorsten Nowak, Alexander Rügamer, Christopher Mutschler, Felix Ott
2025	—	`conf`	Exploitation of Hidden Context in Dynamic Movement Forecasting: A Neural Network Journey from Recurrent to Graph Neural Networks and General Purpose Transformers. PLANS Lukas Schelenz, Shobha Rajanna, Denis Gosalci, Lucas Heublein, Jonas Pirkl, Jonathan Ott, Felix Ott, Christopher Mutschler, Tobias Feigl
2025	B	`conf`	Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification. NOMS Nishant S. Gaikwad, Lucas Heublein, Nisha Lakshmana Raichur, Tobias Feigl, Christopher Mutschler, Felix Ott
2025	—	`conf`	GenAI for Energy-Efficient and Interference-Aware Compressed Sensing of GNSS Signals on a Google Edge TPU. PLANS Thorben Wegner, Lucas Heublein, Tobias Feigl, Felix Ott, Christopher Mutschler, Alexander Rügamer
2025	J	`jnl`	Learning Encodings by Maximizing State Distinguishability: Variational Quantum Error Correction. CoRR Nico Meyer, Christopher Mutschler, Andreas K. Maier, Daniel D. Scherer
2025	J	`jnl`	Meta-Learning Multi-armed Bandits for Beam Tracking in 5G and 6G Networks. CoRR Alexander Mattick, George Yammine, Georgios D. Kontes, Setareh Maghsudi, Christopher Mutschler
2025	—	`conf`	Multi-Objective Bayesian Optimization with Reinforcement Learning for Edge Deployment of DNNs on Microcontrollers. GECCO Companion Mark Deutel, Georgios D. Kontes, Christopher Mutschler, Jürgen Teich
2025	J	`jnl`	On-Device Training of Fully Quantized Deep Neural Networks on Cortex-M Microcontrollers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Mark Deutel, Frank Hannig, Christopher Mutschler, Jürgen Teich
2025	J	`jnl`	Optimizing Quantum Circuits via ZX Diagrams using Reinforcement Learning and Graph Neural Networks. CoRR Alexander Mattick, Maniraman Periyasamy, Christian Ufrecht, Abhishek Y. Dubey, Christopher Mutschler, Axel Plinge, Daniel D. Scherer
2025	—	`conf`	PDRNN: Modular Data-driven Pedestrian Dead Reckoning on Loosely Coupled Radio- and Inertial-Signalstreams. PLANS Peter Bauer, Andreas Porada, Felix Ott, Christopher Mutschler, Tobias Feigl
2025	C	`conf`	Passive Channel Charting: Locating Passive Targets using a UWB Mesh. IPIN Raffael Poeggel, Maximilian Stahlke, Jonas Pirkl, Jonathan Ott, George Yammine, Tobias Feigl, Christopher Mutschler
2025	J	`jnl`	Position Paper: Rethinking AI/ML for Air Interface in Wireless Networks. CoRR Georgios D. Kontes, Diomidis S. Michalopoulos, Birendra Ghimire, Christopher Mutschler
2025	—	`conf`	Resilient Channel Charting Under Varying Radio Link Availability. IEEECONF Jonas Pirkl, Jonathan Ott, Maximilian Stahlke, George Yammine, Tobias Feigl, Christopher Mutschler
2025	J	`jnl`	Simplicity is Key: An Unsupervised Pretraining Approach for Sparse Radio Channels. CoRR Jonathan Ott, Maximilian Stahlke, Tobias Feigl, Bjoern M. Eskofier, Christopher Mutschler
2025	—	`conf`	Unsupervised Learning of Variational Autoencoders on Cortex-M Microcontrollers. MCSoC Mark Deutel, Axel Plinge, Dominik Seuß, Christopher Mutschler, Frank Hannig, Jürgen Teich
2025	J	`jnl`	VAE-based Feature Disentanglement for Data Augmentation and Compression in Generalized GNSS Interference Classification. CoRR Lucas Heublein, Simon Kocher, Tobias Feigl, Alexander Rügamer, Christopher Mutschler, Felix Ott
2025	—	`conf`	Vae-Based Feature Disentanglement for Data Augmentation and Compression in Generalized Gnss Interference Classification. ICL-GNSS Lucas Heublein, Simon Kocher, Tobias Feigl, Alexander Rügamer, Christopher Mutschler, Felix Ott
2024	B	`conf`	BCQQ: Batch-Constraint Quantum Q-Learning with Cyclic Data Re-uploading. IJCNN Maniraman Periyasamy, Marc Hölle, Marco Wiedmann, Daniel D. Scherer, Axel Plinge, Christopher Mutschler
2024	J	`jnl`	Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning. CoRR Nisha Lakshmana Raichur, Lucas Heublein, Tobias Feigl, Alexander Rügamer, Christopher Mutschler, Felix Ott
2024	Misc	`conf`	Comprehensive Library of Variational LSE Solvers. QCE Nico Meyer, Martin Röhn, Jakob Murauer, Axel Plinge, Christopher Mutschler, Daniel D. Scherer
2024	J	`jnl`	Comprehensive Library of Variational LSE Solvers. CoRR Nico Meyer, Martin Röhn, Jakob Murauer, Axel Plinge, Christopher Mutschler, Daniel D. Scherer
2024	J	`jnl`	Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization. CoRR Lucas Heublein, Tobias Feigl, Thorsten Nowak, Alexander Rügamer, Christopher Mutschler, Felix Ott
2024	J	`jnl`	Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification. CoRR Saurabh Sampatrao Gaikwad, Lucas Heublein, Nisha Lakshmana Raichur, Tobias Feigl, Christopher Mutschler, Felix Ott
2024	—	`conf`	Few-Shot Learning with Uncertainty-Based Quadruplet Selection for Interference Classification in GNSS Data. ICL-GNSS Felix Ott, Lucas Heublein, Nisha Lakshmana Raichur, Tobias Feigl, Jonathan Hansen, Alexander Rügamer, Christopher Mutschler
2024	J	`jnl`	Few-Shot Learning with Uncertainty-based Quadruplet Selection for Interference Classification in GNSS Data. CoRR Felix Ott, Lucas Heublein, Nisha Lakshmana Raichur, Tobias Feigl, Jonathan Hansen, Alexander Rügamer, Christopher Mutschler
2024	J	`jnl`	Fusing structure from motion and simulation-augmented pose regression from optical flow for challenging indoor environments. J. Vis. Commun. Image Represent. Felix Ott, Lucas Heublein, David Rügamer, Bernd Bischl, Christopher Mutschler
2024	Misc	`conf`	Guided-SPSA: Simultaneous Perturbation Stochastic Approximation Assisted by the Parameter Shift Rule. QCE Maniraman Periyasamy, Axel Plinge, Christopher Mutschler, Daniel D. Scherer, Wolfgang Mauerer
2024	J	`jnl`	Guided-SPSA: Simultaneous Perturbation Stochastic Approximation assisted by the Parameter Shift Rule. CoRR Maniraman Periyasamy, Axel Plinge, Christopher Mutschler, Daniel D. Scherer, Wolfgang Mauerer
2024	C	`conf`	Non-Line-of-Sight Detection for Radio Localization using Deep State Space Models. IPIN Leon Brasseler, Maximilian Stahlke, Thomas Altstidl, Tobias Feigl, Christopher Mutschler
2024	J	`jnl`	On-Device Training of Fully Quantized Deep Neural Networks on Cortex-M Microcontrollers. CoRR Mark Deutel, Frank Hannig, Christopher Mutschler, Jürgen Teich
2024	Misc	`conf`	Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks. QCE Nico Meyer, Christian Ufrecht, Maniraman Periyasamy, Axel Plinge, Christopher Mutschler, Daniel D. Scherer, Andreas Maier
2024	J	`jnl`	Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks. CoRR Nico Meyer, Christian Ufrecht, Maniraman Periyasamy, Axel Plinge, Christopher Mutschler, Daniel D. Scherer, Andreas K. Maier
2024	C	`conf`	Radio Foundation Models: Pre-training Transformers for 5G-based Indoor Localization. IPIN Jonathan Ott, Jonas Pirkl, Maximilian Stahlke, Tobias Feigl, Christopher Mutschler
2024	J	`jnl`	Radio Foundation Models: Pre-training Transformers for 5G-based Indoor Localization. CoRR Jonathan Ott, Jonas Pirkl, Maximilian Stahlke, Tobias Feigl, Christopher Mutschler
2024	J	`jnl`	Reinforcement Learning for Node Selection in Branch-and-Bound. Trans. Mach. Learn. Res. Alexander Mattick, Christopher Mutschler
2024	J	`jnl`	Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization. CoRR Nico Meyer, Julian Berberich, Christopher Mutschler, Daniel D. Scherer
2024	Misc	`conf`	SCIM MILQ: An HPC Quantum Scheduler. QCE Philipp Seitz, Manuel Geiger, Christian Ufrecht, Axel Plinge, Christopher Mutschler, Daniel D. Scherer, Christian B. Mendl
2024	Misc	`conf`	Unitary Synthesis of Clifford+T Circuits with Reinforcement Learning. QCE Sebastian Rietsch, Abhishek Y. Dubey, Christian Ufrecht, Maniraman Periyasamy, Axel Plinge, Christopher Mutschler, Daniel D. Scherer
2024	Misc	`conf`	Warm-Start Variational Quantum Policy Iteration. QCE Nico Meyer, Jakob Murauer, Alexander Popov, Christian Ufrecht, Axel Plinge, Christopher Mutschler, Daniel D. Scherer
2024	J	`jnl`	Warm-Start Variational Quantum Policy Iteration. CoRR Nico Meyer, Jakob Murauer, Alexander Popov, Christian Ufrecht, Axel Plinge, Christopher Mutschler, Daniel D. Scherer
2024	J	`jnl`	microYOLO: Towards Single-Shot Object Detection on Microcontrollers. CoRR Mark Deutel, Christopher Mutschler, Jürgen Teich
2023	J	`jnl`	Active Learning of Ordinal Embeddings: A User Study on Football Data. Trans. Mach. Learn. Res. Christoffer Löffler, Kion Fallah, Stefano Fenu, Dario Zanca, Björn M. Eskofier, Christopher John Rozell, Christopher Mutschler
2023	Misc	`conf`	An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-Based Gradients. QCE Marco Wiedmann, Marc Hölle, Maniraman Periyasamy, Nico Meyer, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler
2023	J	`jnl`	An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-based Gradients. CoRR Marco Wiedmann, Marc Hölle, Maniraman Periyasamy, Nico Meyer, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler
2023	J	`jnl`	Augmented Random Search for Multi-Objective Bayesian Optimization of Neural Networks. CoRR Mark Deutel, Georgios D. Kontes, Christopher Mutschler, Jürgen Teich
2023	J	`jnl`	Auxiliary Cross-Modal Representation Learning With Triplet Loss Functions for Online Handwriting Recognition. IEEE Access Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler
2023	J	`jnl`	Batch Quantum Reinforcement Learning. CoRR Maniraman Periyasamy, Marc Hölle, Marco Wiedmann, Daniel D. Scherer, Axel Plinge, Christopher Mutschler
2023	J	`jnl`	C-MCTS: Safe Planning with Monte Carlo Tree Search. CoRR Dinesh Parthasarathy, Georgios D. Kontes, Axel Plinge, Christopher Mutschler
2023	J	`jnl`	Cutting multi-control quantum gates with ZX calculus. Quantum Christian Ufrecht, Maniraman Periyasamy, Sebastian Rietsch, Daniel D. Scherer, Axel Plinge, Christopher Mutschler
2023	B	`conf`	Efficient Beam Search for Initial Access Using Collaborative Filtering. WCNC George Yammine, Georgios D. Kontes, Norbert Franke, Axel Plinge, Christopher Mutschler
2023	—	`conf`	Energy-efficient Deployment of Deep Learning Applications on Cortex-M based Microcontrollers using Deep Compression. MBMV Mark Deutel, Philipp Woller, Christopher Mutschler, Jürgen Teich
2023	J	`jnl`	Fusing Structure from Motion and Simulation-Augmented Pose Regression from Optical Flow for Challenging Indoor Environments. CoRR Felix Ott, Lucas Heublein, David Rügamer, Bernd Bischl, Christopher Mutschler
2023	B	`conf`	Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks. IJCNN Thomas Altstidl, An Nguyen, Leo Schwinn, Franz Köferl, Christopher Mutschler, Björn M. Eskofier, Dario Zanca
2023	C	`conf`	Multipath Delay Estimation in Complex Environments using Transformer. IPIN Jonathan Ott, Maximilian Stahlke, Sebastian Kram, Tobias Feigl, Christopher Mutschler
2023	Misc	`conf`	Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning. QCE Nico Meyer, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Michael J. Hartmann
2023	J	`jnl`	Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning. CoRR Nico Meyer, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Michael J. Hartmann
2023	A*	`conf`	Quantum Policy Gradient Algorithm with Optimized Action Decoding. ICML Nico Meyer, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Michael J. Hartmann
2023	J	`jnl`	Reinforcement Learning for Node Selection in Branch-and-Bound. CoRR Alexander Mattick, Christopher Mutschler
2023	J	`jnl`	Representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting Recognition. CoRR Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler
2023	C	`conf`	Uncertainty-based Fingerprinting Model Selection for Radio Localization. IPIN Maximilian Stahlke, Tobias Feigl, Sebastian Kram, Bjoern M. Eskofier, Christopher Mutschler
2023	J	`jnl`	Uncovering instabilities in variational-quantum deep Q-networks. J. Frankl. Inst. Maja Franz, Lucas Wolf, Maniraman Periyasamy, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Wolfgang Mauerer
2023	J	`jnl`	Velocity-Based Channel Charting with Spatial Distribution Map Matching. CoRR Maximilian Stahlke, George Yammine, Tobias Feigl, Bjoern M. Eskofier, Christopher Mutschler
2023	—	`ed.`	WiP Proceedings of the Thirteenth International Conference on Indoor Positioning and Indoor Navigation - Work-in-Progress Papers (IPIN-WiP 2023) co-located with 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN 2023), Nuremberg, Germany, September 25 - 28, 2023. IPIN-WiP Susanna Kaiser, Norbert Franke, Christopher Mutschler
2023	Misc	`conf`	Workshop Summary: Quantum Machine Learning. QCE Volker Tresp, Steffen Udluft, Daniel Hein, Werner Hauptmann, Martin Leib, Christopher Mutschler, Daniel D. Scherer, Wolfgang Mauerer
2023	—	`conf`	μYOLO: Towards Single-Shot Object Detection on Microcontrollers. PKDD/ECML Workshops (5) Mark Deutel, Christopher Mutschler, Jürgen Teich
2022	J	`jnl`	A Survey on Quantum Reinforcement Learning. CoRR Nico Meyer, Christian Ufrecht, Maniraman Periyasamy, Daniel D. Scherer, Axel Plinge, Christopher Mutschler
2022	J	`jnl`	Active Learning of Ordinal Embeddings: A User Study on Football Data. CoRR Christoffer Löffler, Kion Fallah, Stefano Fenu, Dario Zanca, Bjoern M. Eskofier, Christopher John Rozell, Christopher Mutschler
2022	—	`conf`	An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility. ITSC Lukas M. Schmidt, Johanna Brosig, Axel Plinge, Bjoern M. Eskofier, Christopher Mutschler
2022	J	`jnl`	An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility. CoRR Lukas M. Schmidt, Johanna Brosig, Axel Plinge, Bjoern M. Eskofier, Christopher Mutschler
2022	J	`jnl`	Benchmarking Online Sequence-to-Sequence and Character-based Handwriting Recognition from IMU-Enhanced Pens. CoRR Felix Ott, David Rügamer, Lucas Heublein, Tim Hamann, Jens Barth, Bernd Bischl, Christopher Mutschler
2022	J	`jnl`	Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression. CoRR Felix Ott, Nisha Lakshmana Raichur, David Rügamer, Tobias Feigl, Heiko Neumann, Bernd Bischl, Christopher Mutschler
2022	J	`jnl`	Benchmarking online sequence-to-sequence and character-based handwriting recognition from IMU-enhanced pens. Int. J. Document Anal. Recognit. Felix Ott, David Rügamer, Lucas Heublein, Tim Hamann, Jens Barth, Bernd Bischl, Christopher Mutschler
2022	J	`jnl`	Cross-Modal Common Representation Learning with Triplet Loss Functions. CoRR Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler
2022	J	`jnl`	Deep Siamese Metric Learning: A Highly Scalable Approach to Searching Unordered Sets of Trajectories. ACM Trans. Intell. Syst. Technol. Christoffer Löffler, Luca Reeb, Daniel Dzibela, Robert Marzilger, Nicolas Witt, Björn M. Eskofier, Christopher Mutschler
2022	B	`conf`	Delay Estimation in Dense Multipath Environments using Time Series Segmentation. WCNC Sebastian Kram, Christopher Kraus, Maximilian Stahlke, Tobias Feigl, Jörn Thielecke, Christopher Mutschler
2022	J	`jnl`	Deployment of Energy-Efficient Deep Learning Models on Cortex-M based Microcontrollers using Deep Compression. CoRR Mark Deutel, Philipp Woller, Christopher Mutschler, Jürgen Teich
2022	A*	`conf`	Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift. ACM Multimedia Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler
2022	J	`jnl`	Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift. CoRR Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler
2022	J	`jnl`	Don't Get Me Wrong: How to apply Deep Visual Interpretations to Time Series. CoRR Christoffer Löffler, Wei-Cheng Lai, Bjoern M. Eskofier, Dario Zanca, Lukas Schmidt, Christopher Mutschler
2022	J	`jnl`	Driver Dojo: A Benchmark for Generalizable Reinforcement Learning for Autonomous Driving. CoRR Sebastian Rietsch, Shih-Yuan Huang, Georgios D. Kontes, Axel Plinge, Christopher Mutschler
2022	J	`jnl`	Efficient Beam Search for Initial Access Using Collaborative Filtering. CoRR George Yammine, Georgios D. Kontes, Norbert Franke, Axel Plinge, Christopher Mutschler
2022	—	`conf`	How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies. ITSC Lukas M. Schmidt, Sebastian Rietsch, Axel Plinge, Bjoern M. Eskofier, Christopher Mutschler
2022	J	`jnl`	How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies. CoRR Lukas M. Schmidt, Sebastian Rietsch, Axel Plinge, Bjoern M. Eskofier, Christopher Mutschler
2022	J	`jnl`	IALE: Imitating Active Learner Ensembles. J. Mach. Learn. Res. Christoffer Löffler, Christopher Mutschler
2022	Misc	`conf`	Incremental Data-Uploading for Full-Quantum Classification. QCE Maniraman Periyasamy, Nico Meyer, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler
2022	J	`jnl`	Incremental Data-Uploading for Full-Quantum Classification. CoRR Maniraman Periyasamy, Nico Meyer, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler
2022	J	`jnl`	Indoor Localization with Robust Global Channel Charting: A Time-Distance-Based Approach. CoRR Maximilian Stahlke, George Yammine, Tobias Feigl, Bjoern M. Eskofier, Christopher Mutschler
2022	A	`conf`	Joint Classification and Trajectory Regression of Online Handwriting using a Multi-Task Learning Approach. WACV Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler
2022	J	`jnl`	Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks. CoRR Thomas Altstidl, An Nguyen, Leo Schwinn, Franz Köferl, Christopher Mutschler, Björn M. Eskofier, Dario Zanca
2022	J	`jnl`	Position Tracking using Likelihood Modeling of Channel Features with Gaussian Processes. CoRR Sebastian Kram, Christopher Kraus, Tobias Feigl, Maximilian Stahlke, Jörg Robert, Christopher Mutschler
2022	J	`jnl`	Quantum Policy Gradient Algorithm with Optimized Action Decoding. CoRR Nico Meyer, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Michael J. Hartmann
2022	—	`conf`	Representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting Recognition. ICPR Workshops (1) Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler
2022	—	`conf`	Transfer Learning to adapt 5G AI-based Fingerprint Localization across Environments. VTC Spring Maximilian Stahlke, Tobias Feigl, Mario Hernán Castañeda García, Richard A. Stirling-Gallacher, Jochen Seitz, Christopher Mutschler
2022	J	`jnl`	Uncertainty-aware Evaluation of Time-Series Classification for Online Handwriting Recognition with Domain Shift. CoRR Andreas Klaß, Sven M. Lorenz, Martin W. Lauer-Schmaltz, David Rügamer, Bernd Bischl, Christopher Mutschler, Felix Ott
2022	—	`conf`	Uncertainty-aware Evaluation of Time-series Classification for Online Handwriting Recognition with Domain Shift. STRL@IJCAI Andreas Klaß, Sven M. Lorenz, Martin W. Lauer-Schmaltz, David Rügamer, Bernd Bischl, Christopher Mutschler, Felix Ott
2022	J	`jnl`	Uncovering Instabilities in Variational-Quantum Deep Q-Networks. CoRR Maja Franz, Lucas Wolf, Maniraman Periyasamy, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Wolfgang Mauerer
2021	C	`conf`	Accuracy-Aware Compression of Channel Impulse Responses using Deep Learning. IPIN Thomas Altstidl, Sebastian Kram, Oskar Herrmann, Maximilian Stahlke, Tobias Feigl, Christopher Mutschler
2021	C	`conf`	Can You Trust Your Autonomous Car? Interpretable and Verifiably Safe Reinforcement Learning. IV Lukas M. Schmidt, Georgios D. Kontes, Axel Plinge, Christopher Mutschler
2021	C	`conf`	Contact Tracing with the Exposure Notification Framework in the German Corona-Warn-App. IPIN Steffen Meyer, Thomas Windisch, Adrian Perl, Daniel Dzibela, Robert Marzilger, Nicolas Witt, Justus Benzler, Göran Kirchner, Tobias Feigl, Christopher Mutschler
2021	C	`conf`	Robust ToA-Estimation using Convolutional Neural Networks on Randomized Channel Models. IPIN Tobias Feigl, Ernst Eberlein, Sebastian Kram, Christopher Mutschler
2020	—	`conf`	A Sense of Quality for Augmented Reality Assisted Process Guidance. ISMAR Adjunct Anes Redzepagic, Christoffer Löffler, Tobias Feigl, Christopher Mutschler
2020	—	`conf`	Automated Quality Assurance for Hand-Held Tools via Embedded Classification and AutoML. ECML/PKDD (5) Christoffer Löffler, Christian Nickel, Christopher Sobel, Daniel Dzibela, Jonathan Braat, Benjamin Gruhler, Philipp Woller, Nicolas Witt, Christopher Mutschler
2020	—	`conf`	High-Speed Collision Avoidance using Deep Reinforcement Learning and Domain Randomization for Autonomous Vehicles. ITSC Georgios D. Kontes, Daniel D. Scherer, Tim Nisslbeck, Janina Fischer, Christopher Mutschler
2020	J	`jnl`	IALE: Imitating Active Learner Ensembles. CoRR Christoffer Löffler, Karthik Ayyalasomayajula, Sascha Riechel, Christopher Mutschler
2020	Misc	`conf`	Localization Limitations of ARCore, ARKit, and Hololens in Dynamic Large-scale Industry Environments. VISIGRAPP (1: GRAPP) Tobias Feigl, Andreas Porada, Steve Steiner, Christoffer Löffler, Christopher Mutschler, Michael Philippsen
2020	—	`conf`	NLOS Detection using UWB Channel Impulse Responses and Convolutional Neural Networks. ICL-GNSS Maximilian Stahlke, Sebastian Kram, Christopher Mutschler, Thomas Mahr
2020	J	`jnl`	RNN-Aided Human Velocity Estimation from a Single IMU. Sensors Tobias Feigl, Sebastian Kram, Philipp Woller, Ramiz H. Siddiqui, Michael Philippsen, Christopher Mutschler
2020	—	`conf`	Real-Time Gait Reconstruction For Virtual Reality Using a Single Sensor. ISMAR Adjunct Tobias Feigl, Lisa Gruner, Christopher Mutschler, Daniel Roth
2020	J	`jnl`	The OnHW Dataset: Online Handwriting Recognition from IMU-Enhanced Ballpoint Pens with Machine Learning. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Felix Ott, Mohamad Wehbi, Tim Hamann, Jens Barth, Björn M. Eskofier, Christopher Mutschler
2020	—	`conf`	ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization. CVPR Workshops Felix Ott, Tobias Feigl, Christoffer Löffler, Christopher Mutschler
2019	C	`conf`	A Bidirectional LSTM for Estimating Dynamic Human Velocities from a Single IMU. IPIN Tobias Feigl, Sebastian Kram, Philipp Woller, Ramiz H. Siddiqui, Michael Philippsen, Christopher Mutschler
2019	J	`jnl`	A Deep Learning Approach to Position Estimation from Channel Impulse Responses. Sensors Arne Niitsoo, Thorsten Edelhäußer, Ernst Eberlein, Niels Hadaschik, Christopher Mutschler
2019	J	`jnl`	Deep Reinforcement Learning for Motion Planning of Mobile Robots. CoRR Leonid Butyrev, Thorsten Edelhäußer, Christopher Mutschler
2019	J	`jnl`	Sick Moves! Motion Parameters as Indicators of Simulator Sickness. IEEE Trans. Vis. Comput. Graph. Tobias Feigl, Daniel Roth, Stefan Gradl, Markus Wirth, Marc Erich Latoschik, Björn M. Eskofier, Michael Philippsen, Christopher Mutschler
2019	J	`jnl`	ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization. CoRR Felix Ott, Tobias Feigl, Christoffer Löffler, Christopher Mutschler
2018	—	`conf`	A Location-Based VR Museum. VS-GAMES Jean-Luc Lugrin, Florian Kern, Ruben Schmidt, Constantin Kleinbeck, Daniel Roth, Christian Daxer, Tobias Feigl, Christopher Mutschler, Marc Erich Latoschik
2018	A*	`conf`	Beyond Replication: Augmenting Social Behaviors in Multi-User Virtual Realities. VR Daniel Roth, Constantin Kleinbeck, Tobias Feigl, Christopher Mutschler, Marc Erich Latoschik
2018	C	`conf`	Convolutional Neural Networks for Position Estimation in TDoA-Based Locating Systems. IPIN Arne Niitsoo, Thorsten Edelhäußer, Christopher Mutschler
2018	C	`conf`	Evaluation Criteria for Inside-Out Indoor Positioning Systems Based on Machine Learning. IPIN Christoffer Löffler, Sascha Riechel, Janina Fischer, Christopher Mutschler
2018	A*	`conf`	Head-to-Body-Pose Classification in No-Pose VR Tracking Systems. VR Tobias Feigl, Christopher Mutschler, Michael Philippsen
2018	A*	`conf`	Human Compensation Strategies for Orientation Drifts. VR Tobias Feigl, Christopher Mutschler, Michael Philippsen
2018	C	`conf`	Indoor Positioning Using OFDM-Based Visible Light Communication System. IPIN Birendra Ghimire, Jochen Seitz, Christopher Mutschler
2018	—	`conf`	Optical Camera Communication for Active Marker Identification in Camera-based Positioning Systems. WPNC Lorenz Gorse, Christoffer Löffler, Christopher Mutschler, Michael Philippsen
2018	C	`conf`	Recurrent Neural Networks on Drifting Time-of-Flight Measurements. IPIN Tobias Feigl, Thorsten Nowak, Michael Philippsen, Thorsten Edelhäußer, Christopher Mutschler
2018	C	`conf`	Super-Resolution in RSS-Based Direction-of-Arrival Estimation. IPIN Thorsten Nowak, Markus Hartmann, Jörn Thielecke, Niels Hadaschik, Christopher Mutschler
2018	C	`conf`	Supervised Learning for Yaw Orientation Estimation. IPIN Tobias Feigl, Christopher Mutschler, Michael Philippsen
2017	B	`conf`	Acoustical manipulation for redirected walking. VRST Tobias Feigl, Eliise Kõre, Christopher Mutschler, Michael Philippsen
2017	—	`conf`	Social Augmentations in Multi-User Virtual Reality: A Virtual Museum Experience. ISMAR Adjunct Daniel Roth, Constantin Kleinbeck, Tobias Feigl, Christopher Mutschler, Marc Erich Latoschik
2016	—	`conf`	Inter-satellite ranging in the Low Earth Orbit. CSNDSP Mohammad Alawieh, Niels Hadaschik, Norbert Franke, Christopher Mutschler
2016	C	`conf`	Low-complexity PDoA-based localization. IPIN Benjamin Sackenreuter, Niels Hadaschik, Marc Fassbinder, Christopher Mutschler
2016	—	`conf`	Virtual and augmented reality in sports: an overview and acceptance study. UbiComp Adjunct Stefan Gradl, Björn M. Eskofier, Dominic Eskofier, Christopher Mutschler, Stephan Otto
2015	—	`conf`	Approximative event processing on sensor data streams. DEBS Christoffer Löffler, Christopher Mutschler, Michael Philippsen
2014	J	`jnl`	Adaptive Speculative Processing of Out-of-Order Event Streams. ACM Trans. Internet Techn. Christopher Mutschler, Michael Philippsen
2014	—	`—`	Latency Minimization of Order-Preserving Distributed Event-Based Systems. Christopher Mutschler
2014	—	`conf`	Predictive load management in smart grid environments. DEBS Christopher Mutschler, Christoffer Löffler, Nicolas Witt, Thorsten Edelhäußer, Michael Philippsen
2013	—	`conf`	Demo: do event-based systems have a passion for sports? DEBS Christopher Mutschler, Nicolas Witt, Michael Philippsen
2013	A	`conf`	Distributed Low-Latency Out-of-Order Event Processing for High Data Rate Sensor Streams. IPDPS Christopher Mutschler, Michael Philippsen
2013	—	`conf`	Evolutionary algorithms that use runtime migration of detector processes to reduce latency in event-based systems. AHS Christoffer Löffler, Christopher Mutschler, Michael Philippsen
2013	—	`conf`	Reliable speculative processing of out-of-order event streams in generic publish/subscribe middlewares. DEBS Christopher Mutschler, Michael Philippsen
2013	—	`conf`	Runtime migration of stateful event detectors with low-latency ordering constraints. PerCom Workshops Christopher Mutschler, Michael Philippsen
2013	—	`conf`	The DEBS 2013 grand challenge. DEBS Christopher Mutschler, Holger Ziekow, Zbigniew Jerzak
2012	—	`conf`	Learning event detection rules with noise hidden Markov models. AHS Christopher Mutschler, Michael Philippsen