Christopher Mutschler

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 90

Top Venues

CoRR

IPIN

QCE

University of Erlangen-Nuremberg (PHD)

Education History

University of Erlangen-Nuremberg

PHD

Publications

Felix Ott, Lucas Heublein, Nisha Lakshmana Raichur, Tobias Feigl, Jonathan Hansen, Alexander Rügamer, Christopher Mutschler
Few-Shot Learning with Uncertainty-based Quadruplet Selection for Interference Classification in GNSS Data. CoRR (2024)
George Yammine, Georgios D. Kontes, Norbert Franke, Axel Plinge, Christopher Mutschler
Efficient Beam Search for Initial Access Using Collaborative Filtering. WCNC (2023)
Thomas Altstidl, An Nguyen, Leo Schwinn, Franz Köferl, Christopher Mutschler, Björn M. Eskofier, Dario Zanca
Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks. IJCNN (2023)
Dinesh Parthasarathy, Georgios D. Kontes, Axel Plinge, Christopher Mutschler
C-MCTS: Safe Planning with Monte Carlo Tree Search. CoRR (2023)
Marco Wiedmann, Marc Hölle, Maniraman Periyasamy, Nico Meyer, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler
An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-Based Gradients. QCE (2023)
Jonathan Ott, Maximilian Stahlke, Sebastian Kram, Tobias Feigl, Christopher Mutschler
Multipath Delay Estimation in Complex Environments using Transformer. IPIN (2023)
Felix Ott, Lucas Heublein, David Rügamer, Bernd Bischl, Christopher Mutschler
Fusing Structure from Motion and Simulation-Augmented Pose Regression from Optical Flow for Challenging Indoor Environments. CoRR (2023)
Christoffer Löffler, Kion Fallah, Stefano Fenu, Dario Zanca, Björn M. Eskofier, Christopher John Rozell, Christopher Mutschler
Active Learning of Ordinal Embeddings: A User Study on Football Data. Trans. Mach. Learn. Res. 2023 (2023)
Volker Tresp, Steffen Udluft, Daniel Hein, Werner Hauptmann, Martin Leib, Christopher Mutschler, Daniel D. Scherer, Wolfgang Mauerer
Workshop Summary: Quantum Machine Learning. QCE (2023)
Maximilian Stahlke, George Yammine, Tobias Feigl, Bjoern M. Eskofier, Christopher Mutschler
Velocity-Based Channel Charting with Spatial Distribution Map Matching. CoRR (2023)
Mark Deutel, Philipp Woller, Christopher Mutschler, Jürgen Teich
Energy-efficient Deployment of Deep Learning Applications on Cortex-M based Microcontrollers using Deep Compression. MBMV (2023)
Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler
Auxiliary Cross-Modal Representation Learning With Triplet Loss Functions for Online Handwriting Recognition. IEEE Access 11 (2023)
Maximilian Stahlke, Tobias Feigl, Sebastian Kram, Bjoern M. Eskofier, Christopher Mutschler
Uncertainty-based Fingerprinting Model Selection for Radio Localization. IPIN (2023)
Nico Meyer, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Michael J. Hartmann
Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning. CoRR (2023)
Nico Meyer, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Michael J. Hartmann
Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning. QCE (2023)
Christian Ufrecht, Maniraman Periyasamy, Sebastian Rietsch, Daniel D. Scherer, Axel Plinge, Christopher Mutschler
Cutting multi-control quantum gates with ZX calculus. Quantum 7 (2023)
Mark Deutel, Georgios D. Kontes, Christopher Mutschler, Jürgen Teich
Augmented Random Search for Multi-Objective Bayesian Optimization of Neural Networks. CoRR (2023)
Maja Franz, Lucas Wolf, Maniraman Periyasamy, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Wolfgang Mauerer
Uncovering instabilities in variational-quantum deep Q-networks. J. Frankl. Inst. 360 (17) (2023)
Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler
Representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting Recognition. CoRR (2023)
Nico Meyer, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Michael J. Hartmann
Quantum Policy Gradient Algorithm with Optimized Action Decoding. ICML (2023)
Maniraman Periyasamy, Marc Hölle, Marco Wiedmann, Daniel D. Scherer, Axel Plinge, Christopher Mutschler
Batch Quantum Reinforcement Learning. CoRR (2023)
Marco Wiedmann, Marc Hölle, Maniraman Periyasamy, Nico Meyer, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler
An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-based Gradients. CoRR (2023)
Alexander Mattick, Christopher Mutschler
Reinforcement Learning for Node Selection in Branch-and-Bound. CoRR (2023)
Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler
Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift. CoRR (2022)
Felix Ott, Nisha Lakshmana Raichur, David Rügamer, Tobias Feigl, Heiko Neumann, Bernd Bischl, Christopher Mutschler
Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression. CoRR (2022)
Nico Meyer, Christian Ufrecht, Maniraman Periyasamy, Daniel D. Scherer, Axel Plinge, Christopher Mutschler
A Survey on Quantum Reinforcement Learning. CoRR (2022)
Christoffer Löffler, Kion Fallah, Stefano Fenu, Dario Zanca, Bjoern M. Eskofier, Christopher John Rozell, Christopher Mutschler
Active Learning of Ordinal Embeddings: A User Study on Football Data. CoRR (2022)
Christoffer Löffler, Christopher Mutschler
IALE: Imitating Active Learner Ensembles. J. Mach. Learn. Res. 23 (2022)
Sebastian Kram, Christopher Kraus, Tobias Feigl, Maximilian Stahlke, Jörg Robert, Christopher Mutschler
Position Tracking using Likelihood Modeling of Channel Features with Gaussian Processes. CoRR (2022)
Maximilian Stahlke, Tobias Feigl, Mario Hernán Castañeda García, Richard A. Stirling-Gallacher, Jochen Seitz, Christopher Mutschler
Transfer Learning to adapt 5G AI-based Fingerprint Localization across Environments. VTC Spring (2022)
Lukas M. Schmidt, Johanna Brosig, Axel Plinge, Bjoern M. Eskofier, Christopher Mutschler
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility. ITSC (2022)
Lukas M. Schmidt, Sebastian Rietsch, Axel Plinge, Bjoern M. Eskofier, Christopher Mutschler
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies. CoRR (2022)
Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler
Joint Classification and Trajectory Regression of Online Handwriting using a Multi-Task Learning Approach. WACV (2022)
Maximilian Stahlke, George Yammine, Tobias Feigl, Bjoern M. Eskofier, Christopher Mutschler
Indoor Localization with Robust Global Channel Charting: A Time-Distance-Based Approach. CoRR (2022)
Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler
Representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting Recognition. ICPR Workshops (1) (2022)
Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler
Cross-Modal Common Representation Learning with Triplet Loss Functions. CoRR (2022)
Lukas M. Schmidt, Sebastian Rietsch, Axel Plinge, Bjoern M. Eskofier, Christopher Mutschler
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies. ITSC (2022)
Thomas Altstidl, An Nguyen, Leo Schwinn, Franz Köferl, Christopher Mutschler, Björn M. Eskofier, Dario Zanca
Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks. CoRR (2022)
Maniraman Periyasamy, Nico Meyer, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler
Incremental Data-Uploading for Full-Quantum Classification. CoRR (2022)
Christoffer Löffler, Wei-Cheng Lai, Bjoern M. Eskofier, Dario Zanca, Lukas Schmidt, Christopher Mutschler
Don't Get Me Wrong: How to apply Deep Visual Interpretations to Time Series. CoRR (2022)
Felix Ott, David Rügamer, Lucas Heublein, Tim Hamann, Jens Barth, Bernd Bischl, Christopher Mutschler
Benchmarking Online Sequence-to-Sequence and Character-based Handwriting Recognition from IMU-Enhanced Pens. CoRR (2022)
Maja Franz, Lucas Wolf, Maniraman Periyasamy, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Wolfgang Mauerer
Uncovering Instabilities in Variational-Quantum Deep Q-Networks. CoRR (2022)
Lukas M. Schmidt, Johanna Brosig, Axel Plinge, Bjoern M. Eskofier, Christopher Mutschler
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility. CoRR (2022)
Maniraman Periyasamy, Nico Meyer, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler
Incremental Data-Uploading for Full-Quantum Classification. QCE (2022)
Andreas Klaß, Sven M. Lorenz, Martin W. Lauer-Schmaltz, David Rügamer, Bernd Bischl, Christopher Mutschler, Felix Ott
Uncertainty-aware Evaluation of Time-Series Classification for Online Handwriting Recognition with Domain Shift. CoRR (2022)
Sebastian Rietsch, Shih-Yuan Huang, Georgios D. Kontes, Axel Plinge, Christopher Mutschler
Driver Dojo: A Benchmark for Generalizable Reinforcement Learning for Autonomous Driving. CoRR (2022)
Mark Deutel, Philipp Woller, Christopher Mutschler, Jürgen Teich
Deployment of Energy-Efficient Deep Learning Models on Cortex-M based Microcontrollers using Deep Compression. CoRR (2022)
Felix Ott, David Rügamer, Lucas Heublein, Tim Hamann, Jens Barth, Bernd Bischl, Christopher Mutschler
Benchmarking online sequence-to-sequence and character-based handwriting recognition from IMU-enhanced pens. Int. J. Document Anal. Recognit. 25 (4) (2022)
Christoffer Löffler, Luca Reeb, Daniel Dzibela, Robert Marzilger, Nicolas Witt, Björn M. Eskofier, Christopher Mutschler
Deep Siamese Metric Learning: A Highly Scalable Approach to Searching Unordered Sets of Trajectories. ACM Trans. Intell. Syst. Technol. 13 (1) (2022)
George Yammine, Georgios D. Kontes, Norbert Franke, Axel Plinge, Christopher Mutschler
Efficient Beam Search for Initial Access Using Collaborative Filtering. CoRR (2022)
Nico Meyer, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Michael J. Hartmann
Quantum Policy Gradient Algorithm with Optimized Action Decoding. CoRR (2022)
Sebastian Kram, Christopher Kraus, Maximilian Stahlke, Tobias Feigl, Jörn Thielecke, Christopher Mutschler
Delay Estimation in Dense Multipath Environments using Time Series Segmentation. WCNC (2022)
Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler
Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift. ACM Multimedia (2022)
Andreas Klaß, Sven M. Lorenz, Martin W. Lauer-Schmaltz, David Rügamer, Bernd Bischl, Christopher Mutschler, Felix Ott
Uncertainty-aware Evaluation of Time-series Classification for Online Handwriting Recognition with Domain Shift. STRL@IJCAI (2022)
Thomas Altstidl, Sebastian Kram, Oskar Herrmann, Maximilian Stahlke, Tobias Feigl, Christopher Mutschler
Accuracy-Aware Compression of Channel Impulse Responses using Deep Learning. IPIN (2021)
Lukas M. Schmidt, Georgios D. Kontes, Axel Plinge, Christopher Mutschler
Can You Trust Your Autonomous Car? Interpretable and Verifiably Safe Reinforcement Learning. IV (2021)
Steffen Meyer, Thomas Windisch, Adrian Perl, Daniel Dzibela, Robert Marzilger, Nicolas Witt, Justus Benzler, Göran Kirchner, Tobias Feigl, Christopher Mutschler
Contact Tracing with the Exposure Notification Framework in the German Corona-Warn-App. IPIN (2021)
Tobias Feigl, Ernst Eberlein, Sebastian Kram, Christopher Mutschler
Robust ToA-Estimation using Convolutional Neural Networks on Randomized Channel Models. IPIN (2021)
Tobias Feigl, Andreas Porada, Steve Steiner, Christoffer Löffler, Christopher Mutschler, Michael Philippsen
Localization Limitations of ARCore, ARKit, and Hololens in Dynamic Large-scale Industry Environments. VISIGRAPP (1: GRAPP) (2020)
Maximilian Stahlke, Sebastian Kram, Christopher Mutschler, Thomas Mahr
NLOS Detection using UWB Channel Impulse Responses and Convolutional Neural Networks. ICL-GNSS (2020)
Christoffer Löffler, Christian Nickel, Christopher Sobel, Daniel Dzibela, Jonathan Braat, Benjamin Gruhler, Philipp Woller, Nicolas Witt, Christopher Mutschler
Automated Quality Assurance for Hand-Held Tools via Embedded Classification and AutoML. ECML/PKDD (5) (2020)
Anes Redzepagic, Christoffer Löffler, Tobias Feigl, Christopher Mutschler
A Sense of Quality for Augmented Reality Assisted Process Guidance. ISMAR Adjunct (2020)
Felix Ott, Tobias Feigl, Christoffer Löffler, Christopher Mutschler
ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization. CVPR Workshops (2020)
Christoffer Löffler, Karthik Ayyalasomayajula, Sascha Riechel, Christopher Mutschler
IALE: Imitating Active Learner Ensembles. CoRR (2020)
Tobias Feigl, Sebastian Kram, Philipp Woller, Ramiz H. Siddiqui, Michael Philippsen, Christopher Mutschler
RNN-Aided Human Velocity Estimation from a Single IMU. Sensors 20 (13) (2020)
Tobias Feigl, Lisa Gruner, Christopher Mutschler, Daniel Roth
Real-Time Gait Reconstruction For Virtual Reality Using a Single Sensor. ISMAR Adjunct (2020)
Felix Ott, Mohamad Wehbi, Tim Hamann, Jens Barth, Björn M. Eskofier, Christopher Mutschler
The OnHW Dataset: Online Handwriting Recognition from IMU-Enhanced Ballpoint Pens with Machine Learning. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4 (3) (2020)
Georgios D. Kontes, Daniel D. Scherer, Tim Nisslbeck, Janina Fischer, Christopher Mutschler
High-Speed Collision Avoidance using Deep Reinforcement Learning and Domain Randomization for Autonomous Vehicles. ITSC (2020)
Tobias Feigl, Sebastian Kram, Philipp Woller, Ramiz H. Siddiqui, Michael Philippsen, Christopher Mutschler
A Bidirectional LSTM for Estimating Dynamic Human Velocities from a Single IMU. IPIN (2019)
Felix Ott, Tobias Feigl, Christoffer Löffler, Christopher Mutschler
ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization. CoRR (2019)
Tobias Feigl, Daniel Roth, Stefan Gradl, Markus Wirth, Marc Erich Latoschik, Björn M. Eskofier, Michael Philippsen, Christopher Mutschler
Sick Moves! Motion Parameters as Indicators of Simulator Sickness. IEEE Trans. Vis. Comput. Graph. 25 (11) (2019)
Arne Niitsoo, Thorsten Edelhäußer, Ernst Eberlein, Niels Hadaschik, Christopher Mutschler
A Deep Learning Approach to Position Estimation from Channel Impulse Responses. Sensors 19 (5) (2019)
Leonid Butyrev, Thorsten Edelhäußer, Christopher Mutschler
Deep Reinforcement Learning for Motion Planning of Mobile Robots. CoRR (2019)
Arne Niitsoo, Thorsten Edelhäußer, Christopher Mutschler
Convolutional Neural Networks for Position Estimation in TDoA-Based Locating Systems. IPIN (2018)
Christoffer Löffler, Sascha Riechel, Janina Fischer, Christopher Mutschler
Evaluation Criteria for Inside-Out Indoor Positioning Systems Based on Machine Learning. IPIN (2018)
Birendra Ghimire, Jochen Seitz, Christopher Mutschler
Indoor Positioning Using OFDM-Based Visible Light Communication System. IPIN (2018)
Tobias Feigl, Thorsten Nowak, Michael Philippsen, Thorsten Edelhäußer, Christopher Mutschler
Recurrent Neural Networks on Drifting Time-of-Flight Measurements. IPIN (2018)
Tobias Feigl, Christopher Mutschler, Michael Philippsen
Head-to-Body-Pose Classification in No-Pose VR Tracking Systems. VR (2018)
Tobias Feigl, Christopher Mutschler, Michael Philippsen
Human Compensation Strategies for Orientation Drifts. VR (2018)
Lorenz Gorse, Christoffer Löffler, Christopher Mutschler, Michael Philippsen
Optical Camera Communication for Active Marker Identification in Camera-based Positioning Systems. WPNC (2018)
Daniel Roth, Constantin Kleinbeck, Tobias Feigl, Christopher Mutschler, Marc Erich Latoschik
Beyond Replication: Augmenting Social Behaviors in Multi-User Virtual Realities. VR (2018)
Jean-Luc Lugrin, Florian Kern, Ruben Schmidt, Constantin Kleinbeck, Daniel Roth, Christian Daxer, Tobias Feigl, Christopher Mutschler, Marc Erich Latoschik
A Location-Based VR Museum. VS-GAMES (2018)
Tobias Feigl, Christopher Mutschler, Michael Philippsen
Supervised Learning for Yaw Orientation Estimation. IPIN (2018)
Thorsten Nowak, Markus Hartmann, Jörn Thielecke, Niels Hadaschik, Christopher Mutschler
Super-Resolution in RSS-Based Direction-of-Arrival Estimation. IPIN (2018)
Daniel Roth, Constantin Kleinbeck, Tobias Feigl, Christopher Mutschler, Marc Erich Latoschik
Social Augmentations in Multi-User Virtual Reality: A Virtual Museum Experience. ISMAR Adjunct (2017)
Tobias Feigl, Eliise Kõre, Christopher Mutschler, Michael Philippsen
Acoustical manipulation for redirected walking. VRST (2017)
Benjamin Sackenreuter, Niels Hadaschik, Marc Fassbinder, Christopher Mutschler
Low-complexity PDoA-based localization. IPIN (2016)
Stefan Gradl, Björn M. Eskofier, Dominic Eskofier, Christopher Mutschler, Stephan Otto
Virtual and augmented reality in sports: an overview and acceptance study. UbiComp Adjunct (2016)
Mohammad Alawieh, Niels Hadaschik, Norbert Franke, Christopher Mutschler
Inter-satellite ranging in the Low Earth Orbit. CSNDSP (2016)
Christoffer Löffler, Christopher Mutschler, Michael Philippsen
Approximative event processing on sensor data streams. DEBS (2015)
Christopher Mutschler, Michael Philippsen
Adaptive Speculative Processing of Out-of-Order Event Streams. ACM Trans. Internet Techn. 14 (1) (2014)
Christopher Mutschler, Christoffer Löffler, Nicolas Witt, Thorsten Edelhäußer, Michael Philippsen
Predictive load management in smart grid environments. DEBS (2014)
Christopher Mutschler, Michael Philippsen
Runtime migration of stateful event detectors with low-latency ordering constraints. PerCom Workshops (2013)
Christoffer Löffler, Christopher Mutschler, Michael Philippsen
Evolutionary algorithms that use runtime migration of detector processes to reduce latency in event-based systems. AHS (2013)
Christopher Mutschler, Michael Philippsen
Distributed Low-Latency Out-of-Order Event Processing for High Data Rate Sensor Streams. IPDPS (2013)
Christopher Mutschler, Holger Ziekow, Zbigniew Jerzak
The DEBS 2013 grand challenge. DEBS (2013)
Christopher Mutschler, Michael Philippsen
Reliable speculative processing of out-of-order event streams in generic publish/subscribe middlewares. DEBS (2013)
Christopher Mutschler, Nicolas Witt, Michael Philippsen
Demo: do event-based systems have a passion for sports? DEBS (2013)
Christopher Mutschler, Michael Philippsen
Learning event detection rules with noise hidden Markov models. AHS (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Christopher Mutschler