Christopher Mutschler
Orcid: 0000-0001-8108-0230Affiliations:
- University of Erlangen-Nuremberg, Germany
According to our database1,
Christopher Mutschler
authored at least 98 papers
between 2012 and 2024.
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Bibliography
2024
Fusing structure from motion and simulation-augmented pose regression from optical flow for challenging indoor environments.
J. Vis. Commun. Image Represent., 2024
Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization.
CoRR, 2024
Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification.
CoRR, 2024
CoRR, 2024
Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization.
CoRR, 2024
On-Device Training of Fully Quantized Deep Neural Networks on Cortex-M Microcontrollers.
CoRR, 2024
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning.
CoRR, 2024
Guided-SPSA: Simultaneous Perturbation Stochastic Approximation assisted by the Parameter Shift Rule.
CoRR, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
Few-Shot Learning with Uncertainty-Based Quadruplet Selection for Interference Classification in GNSS Data.
Proceedings of the International Conference on Localization and GNSS, 2024
2023
J. Frankl. Inst., November, 2023
Trans. Mach. Learn. Res., 2023
Augmented Random Search for Multi-Objective Bayesian Optimization of Neural Networks.
CoRR, 2023
Auxiliary Cross-Modal Representation Learning With Triplet Loss Functions for Online Handwriting Recognition.
IEEE Access, 2023
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023
An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-Based Gradients.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023
Energy-efficient Deployment of Deep Learning Applications on Cortex-M based Microcontrollers using Deep Compression.
Proceedings of the Methods and Description Languages for Modelling and Verification of Circuits and Systems, 2023
Proceedings of the 13th International Conference on Indoor Positioning and Indoor Navigation, 2023
Proceedings of the 13th International Conference on Indoor Positioning and Indoor Navigation, 2023
Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the International Conference on Machine Learning, 2023
2022
Deep Siamese Metric Learning: A Highly Scalable Approach to Searching Unordered Sets of Trajectories.
ACM Trans. Intell. Syst. Technol., 2022
Benchmarking online sequence-to-sequence and character-based handwriting recognition from IMU-enhanced pens.
Int. J. Document Anal. Recognit., 2022
Indoor Localization with Robust Global Channel Charting: A Time-Distance-Based Approach.
CoRR, 2022
Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression.
CoRR, 2022
Driver Dojo: A Benchmark for Generalizable Reinforcement Learning for Autonomous Driving.
CoRR, 2022
Deployment of Energy-Efficient Deep Learning Models on Cortex-M based Microcontrollers using Deep Compression.
CoRR, 2022
Position Tracking using Likelihood Modeling of Channel Features with Gaussian Processes.
CoRR, 2022
CoRR, 2022
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022
Joint Classification and Trajectory Regression of Online Handwriting using a Multi-Task Learning Approach.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Uncertainty-aware Evaluation of Time-series Classification for Online Handwriting Recognition with Domain Shift.
Proceedings of the 1st International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2022) co-located with the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI 2022, 2022
Representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting Recognition.
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022
2021
Can You Trust Your Autonomous Car? Interpretable and Verifiably Safe Reinforcement Learning.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021
Contact Tracing with the Exposure Notification Framework in the German Corona-Warn-App.
Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, 2021
Robust ToA-Estimation using Convolutional Neural Networks on Randomized Channel Models.
Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, 2021
Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, 2021
2020
The OnHW Dataset: Online Handwriting Recognition from IMU-Enhanced Ballpoint Pens with Machine Learning.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020
Automated Quality Assurance for Hand-Held Tools via Embedded Classification and AutoML.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020
High-Speed Collision Avoidance using Deep Reinforcement Learning and Domain Randomization for Autonomous Vehicles.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Proceedings of the 2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct, 2020
Proceedings of the 2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct, 2020
NLOS Detection using UWB Channel Impulse Responses and Convolutional Neural Networks.
Proceedings of the 2020 International Conference on Localization and GNSS, 2020
Localization Limitations of ARCore, ARKit, and Hololens in Dynamic Large-scale Industry Environments.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
IEEE Trans. Vis. Comput. Graph., 2019
Sensors, 2019
Proceedings of the 2019 International Conference on Indoor Positioning and Indoor Navigation, 2019
2018
Optical Camera Communication for Active Marker Identification in Camera-based Positioning Systems.
Proceedings of the 15th Workshop on Positioning, Navigation and Communications, 2018
Proceedings of the 10th International Conference on Virtual Worlds and Games for Serious Applications, 2018
Proceedings of the 2018 IEEE Conference on Virtual Reality and 3D User Interfaces, 2018
Proceedings of the 2018 IEEE Conference on Virtual Reality and 3D User Interfaces, 2018
Proceedings of the 2018 IEEE Conference on Virtual Reality and 3D User Interfaces, 2018
Proceedings of the 2018 International Conference on Indoor Positioning and Indoor Navigation, 2018
Convolutional Neural Networks for Position Estimation in TDoA-Based Locating Systems.
Proceedings of the 2018 International Conference on Indoor Positioning and Indoor Navigation, 2018
Evaluation Criteria for Inside-Out Indoor Positioning Systems Based on Machine Learning.
Proceedings of the 2018 International Conference on Indoor Positioning and Indoor Navigation, 2018
Proceedings of the 2018 International Conference on Indoor Positioning and Indoor Navigation, 2018
Proceedings of the 2018 International Conference on Indoor Positioning and Indoor Navigation, 2018
Proceedings of the 2018 International Conference on Indoor Positioning and Indoor Navigation, 2018
2017
Proceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology, 2017
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2017
2016
Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, 2016
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016
Proceedings of the 10th International Symposium on Communication Systems, 2016
2015
Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems, 2015
2014
PhD thesis, 2014
ACM Trans. Internet Techn., 2014
Proceedings of the 8th ACM International Conference on Distributed Event-Based Systems, 2014
2013
Proceedings of the 2013 IEEE International Conference on Pervasive Computing and Communications Workshops, 2013
Distributed Low-Latency Out-of-Order Event Processing for High Data Rate Sensor Streams.
Proceedings of the 27th IEEE International Symposium on Parallel and Distributed Processing, 2013
Proceedings of the 7th ACM International Conference on Distributed Event-Based Systems, 2013
Proceedings of the 7th ACM International Conference on Distributed Event-Based Systems, 2013
Reliable speculative processing of out-of-order event streams in generic publish/subscribe middlewares.
Proceedings of the 7th ACM International Conference on Distributed Event-Based Systems, 2013
Evolutionary algorithms that use runtime migration of detector processes to reduce latency in event-based systems.
Proceedings of the 2013 NASA/ESA Conference on Adaptive Hardware and Systems, 2013
2012
Proceedings of the 2012 NASA/ESA Conference on Adaptive Hardware and Systems, 2012