Christopher Mutschler

Orcid: 0000-0001-8108-0230

Affiliations:
  • University of Erlangen-Nuremberg, Germany


According to our database1, Christopher Mutschler authored at least 85 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Few-Shot Learning with Uncertainty-based Quadruplet Selection for Interference Classification in GNSS Data.
CoRR, 2024

2023
Uncovering instabilities in variational-quantum deep Q-networks.
J. Frankl. Inst., November, 2023

Cutting multi-control quantum gates with ZX calculus.
Quantum, October, 2023

Active Learning of Ordinal Embeddings: A User Study on Football Data.
Trans. Mach. Learn. Res., 2023

Velocity-Based Channel Charting with Spatial Distribution Map Matching.
CoRR, 2023

Reinforcement Learning for Node Selection in Branch-and-Bound.
CoRR, 2023

C-MCTS: Safe Planning with Monte Carlo Tree Search.
CoRR, 2023

Augmented Random Search for Multi-Objective Bayesian Optimization of Neural Networks.
CoRR, 2023

Batch Quantum Reinforcement Learning.
CoRR, 2023

Fusing Structure from Motion and Simulation-Augmented Pose Regression from Optical Flow for Challenging Indoor Environments.
CoRR, 2023

Auxiliary Cross-Modal Representation Learning With Triplet Loss Functions for Online Handwriting Recognition.
IEEE Access, 2023

Efficient Beam Search for Initial Access Using Collaborative Filtering.
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

Workshop Summary: Quantum Machine Learning.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning.
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

Uncertainty-based Fingerprinting Model Selection for Radio Localization.
Proceedings of the 13th International Conference on Indoor Positioning and Indoor Navigation, 2023

Multipath Delay Estimation in Complex Environments using Transformer.
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

Quantum Policy Gradient Algorithm with Optimized Action Decoding.
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

IALE: Imitating Active Learner Ensembles.
J. Mach. Learn. Res., 2022

Benchmarking online sequence-to-sequence and character-based handwriting recognition from IMU-enhanced pens.
Int. J. Document Anal. Recognit., 2022

A Survey on Quantum Reinforcement Learning.
CoRR, 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

Don't Get Me Wrong: How to apply Deep Visual Interpretations to Time Series.
CoRR, 2022

Cross-Modal Common Representation Learning with Triplet Loss Functions.
CoRR, 2022

Delay Estimation in Dense Multipath Environments using Time Series Segmentation.
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

Transfer Learning to adapt 5G AI-based Fingerprint Localization across Environments.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

Incremental Data-Uploading for Full-Quantum Classification.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift.
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

Accuracy-Aware Compression of Channel Impulse Responses using Deep Learning.
Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, 2021

2020
RNN-Aided Human Velocity Estimation from a Single IMU.
Sensors, 2020

The OnHW Dataset: Online Handwriting Recognition from IMU-Enhanced Ballpoint Pens with Machine Learning.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

IALE: Imitating Active Learner Ensembles.
CoRR, 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

A Sense of Quality for Augmented Reality Assisted Process Guidance.
Proceedings of the 2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct, 2020

Real-Time Gait Reconstruction For Virtual Reality Using a Single Sensor.
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

ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Sick Moves! Motion Parameters as Indicators of Simulator Sickness.
IEEE Trans. Vis. Comput. Graph., 2019

A Deep Learning Approach to Position Estimation from Channel Impulse Responses.
Sensors, 2019

Deep Reinforcement Learning for Motion Planning of Mobile Robots.
CoRR, 2019

A Bidirectional LSTM for Estimating Dynamic Human Velocities from a Single IMU.
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

A Location-Based VR Museum.
Proceedings of the 10th International Conference on Virtual Worlds and Games for Serious Applications, 2018

Beyond Replication: Augmenting Social Behaviors in Multi-User Virtual Realities.
Proceedings of the 2018 IEEE Conference on Virtual Reality and 3D User Interfaces, 2018

Head-to-Body-Pose Classification in No-Pose VR Tracking Systems.
Proceedings of the 2018 IEEE Conference on Virtual Reality and 3D User Interfaces, 2018

Human Compensation Strategies for Orientation Drifts.
Proceedings of the 2018 IEEE Conference on Virtual Reality and 3D User Interfaces, 2018

Super-Resolution in RSS-Based Direction-of-Arrival Estimation.
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

Indoor Positioning Using OFDM-Based Visible Light Communication System.
Proceedings of the 2018 International Conference on Indoor Positioning and Indoor Navigation, 2018

Recurrent Neural Networks on Drifting Time-of-Flight Measurements.
Proceedings of the 2018 International Conference on Indoor Positioning and Indoor Navigation, 2018

Supervised Learning for Yaw Orientation Estimation.
Proceedings of the 2018 International Conference on Indoor Positioning and Indoor Navigation, 2018

2017
Acoustical manipulation for redirected walking.
Proceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology, 2017

Social Augmentations in Multi-User Virtual Reality: A Virtual Museum Experience.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2017

2016
Low-complexity PDoA-based localization.
Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, 2016

Virtual and augmented reality in sports: an overview and acceptance study.
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

Inter-satellite ranging in the Low Earth Orbit.
Proceedings of the 10th International Symposium on Communication Systems, 2016

2015
Approximative event processing on sensor data streams.
Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems, 2015

2014
Latency Minimization of Order-Preserving Distributed Event-Based Systems.
PhD thesis, 2014

Adaptive Speculative Processing of Out-of-Order Event Streams.
ACM Trans. Internet Techn., 2014

Predictive load management in smart grid environments.
Proceedings of the 8th ACM International Conference on Distributed Event-Based Systems, 2014

2013
Runtime migration of stateful event detectors with low-latency ordering constraints.
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

The DEBS 2013 grand challenge.
Proceedings of the 7th ACM International Conference on Distributed Event-Based Systems, 2013

Demo: do event-based systems have a passion for sports?
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
Learning event detection rules with noise hidden Markov models.
Proceedings of the 2012 NASA/ESA Conference on Adaptive Hardware and Systems, 2012


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