Selective Phoneme Spotting for Realization of an /s, z, C, t/ Transposer. - Dieter Bauer; Axel Plinge; Martin Finke (ICCHP, 2002)

Digital Speech Signal Processing to Compensate Severe Sensory Hearing Deficits: The /s, z, C, t/ Transposer Module in Simulation - An Overview and Examples. - Dieter Bauer; Axel Plinge; Martin Finke (ICCHP, 2002)

A System for Control of Hearing Instrument Selection and Adjustment based on Evaluation of Correct Transmission of Speech Elements and Features. - Axel Plinge; Dieter Bauer (CVHI, 2007)

Multiple speaker tracking using a microphone array by combining auditory processing and a gaussian mixture cardinalized probability hypothesis density filter. - Axel Plinge; Daniel Hauschildt; Marius H. Hennecke; Gernot A. Fink (ICASSP, 2011)

Reverberation-Robust Online Multi-Speaker Tracking by Using a Microphone Array and CASA Processing. - Axel Plinge; Marius H. Hennecke; Gernot A. Fink (IWAENC, 2012)

Online multi-speaker tracking using multiple microphone arrays informed by auditory scene analysis. - Axel Plinge; Gernot A. Fink (EUSIPCO, 2013)

Geometry calibration of distributed microphone arrays exploiting audio-visual correspondences. - Axel Plinge; Gernot A. Fink (EUSIPCO, 2014)

Multi-speaker tracking using multiple distributed microphone arrays. - Axel Plinge; Gernot A. Fink (ICASSP, 2014)

A Bag-of-Features approach to acoustic event detection. - Axel Plinge; Rene Grzeszick; Gernot A. Fink (ICASSP, 2014)

Geometry calibration of multiple microphone arrays in highly reverberant environments. - Axel Plinge; Gernot A. Fink (IWAENC, 2014)

Temporal Acoustic Words for Online Acoustic Event Detection. - Rene Grzeszick; Axel Plinge; Gernot A. Fink (GCPR, 2015)

Bag-of-Features Acoustic Event Detection for Sensor Networks. - Julian Kürby; Rene Grzeszick; Axel Plinge; Gernot A. Fink (DCASE, 2016)

Multi-microphone speech enhancement informed by auditory scene analysis. - Axel Plinge; Sharon Gannot (SAM, 2016)

Acoustic Microphone Geometry Calibration: An overview and experimental evaluation of state-of-the-art algorithms. - Axel Plinge; Florian Jacob; Reinhold Haeb-Umbach; Gernot A. Fink (IEEE Signal Process. Mag., 2016)

Evaluation of binaural reproduction systems from behavioral patterns in a six-degrees-of-freedom wayfinding task. - Olli Rummukainen; Sebastian J. Schlecht; Axel Plinge; Emanuël A. P. Habets (QoMEX, 2017)

Blind microphone geometry calibration using one reverberant speech event. - Ofer Schwartz; Axel Plinge; Emanuël A. P. Habets; Sharon Gannot (WASPAA, 2017)

Passive Online Geometry Calibration of Acoustic Sensor Networks. - Axel Plinge; Gernot A. Fink; Sharon Gannot (IEEE Signal Process. Lett., 2017)

Bag-of-Features Methods for Acoustic Event Detection and Classification. - Rene Grzeszick; Axel Plinge; Gernot A. Fink (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Acoustic sensor network geometry calibration and applications. - Axel Plinge (2017)

Distributed Expectation-Maximization Algorithm for Speaker Localization in Reverberant Environments. - Yuval Dorfan; Axel Plinge; Gershon Hazan; Sharon Gannot (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Perceptual Study of Near-Field Binaural Audio Rendering in Six-Degrees-of-Freedom Virtual Reality. - Olli S. Hurnmukainen; Sebastian J. Schlecht; Thomas Robotham; Axel Plinge; Emanuël Anco Peter Habets (VR, 2019)

Can You Trust Your Autonomous Car? Interpretable and Verifiably Safe Reinforcement Learning. - Lukas M. Schmidt; Georgios D. Kontes; Axel Plinge; Christopher Mutschler (IV, 2021)

An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility. - Lukas M. Schmidt; Johanna Brosig; Axel Plinge; Bjoern M. Eskofier; Christopher Mutschler (ITSC, 2022)

How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies. - Lukas M. Schmidt; Sebastian Rietsch; Axel Plinge; Bjoern M. Eskofier; Christopher Mutschler (ITSC, 2022)

Incremental Data-Uploading for Full-Quantum Classification. - Maniraman Periyasamy; Nico Meyer; Christian Ufrecht; Daniel D. Scherer; Axel Plinge; Christopher Mutschler (QCE, 2022)

Driver Dojo: A Benchmark for Generalizable Reinforcement Learning for Autonomous Driving. - Sebastian Rietsch; Shih-Yuan Huang; Georgios D. Kontes; Axel Plinge; Christopher Mutschler (CoRR, 2022)

A Survey on Quantum Reinforcement Learning. - Nico Meyer; Christian Ufrecht; Maniraman Periyasamy; Daniel D. Scherer; Axel Plinge; Christopher Mutschler (CoRR, 2022)

Quantum Policy Gradient Algorithm with Optimized Action Decoding. - Nico Meyer; Daniel D. Scherer; Axel Plinge; Christopher Mutschler; Michael J. Hartmann (ICML, 2023)

Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning. - Nico Meyer; Daniel D. Scherer; Axel Plinge; Christopher Mutschler; Michael J. Hartmann (QCE, 2023)

An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-Based Gradients. - Marco Wiedmann; Marc Hölle; Maniraman Periyasamy; Nico Meyer; Christian Ufrecht; Daniel D. Scherer; Axel Plinge; Christopher Mutschler (QCE, 2023)

Efficient Beam Search for Initial Access Using Collaborative Filtering. - George Yammine; Georgios D. Kontes; Norbert Franke; Axel Plinge; Christopher Mutschler (WCNC, 2023)

Batch Quantum Reinforcement Learning. - Maniraman Periyasamy; Marc Hölle; Marco Wiedmann; Daniel D. Scherer; Axel Plinge; Christopher Mutschler (CoRR, 2023)

C-MCTS: Safe Planning with Monte Carlo Tree Search. - Dinesh Parthasarathy; Georgios D. Kontes; Axel Plinge; Christopher Mutschler (CoRR, 2023)

Cutting multi-control quantum gates with ZX calculus. - Christian Ufrecht; Maniraman Periyasamy; Sebastian Rietsch; Daniel D. Scherer; Axel Plinge; Christopher Mutschler (Quantum, 2023)

Uncovering instabilities in variational-quantum deep Q-networks. - Maja Franz; Lucas Wolf; Maniraman Periyasamy; Christian Ufrecht; Daniel D. Scherer; Axel Plinge; Christopher Mutschler; Wolfgang Mauerer (J. Frankl. Inst., 2023)

BCQQ: Batch-Constraint Quantum Q-Learning with Cyclic Data Re-uploading. - Maniraman Periyasamy; Marc Hölle; Marco Wiedmann; Daniel D. Scherer; Axel Plinge; Christopher Mutschler (IJCNN, 2024)

Automated Design in Hybrid Action Spaces by Reinforcement Learning and Differential Evolution. - Quirin Göttl; Haris Asif; Alexander Mattick; Robert Marzilger; Axel Plinge (KI, 2024)

Warm-Start Variational Quantum Policy Iteration. - Nico Meyer; Jakob Murauer; Alexander Popov; Christian Ufrecht; Axel Plinge; Christopher Mutschler; Daniel D. Scherer (QCE, 2024)

Comprehensive Library of Variational LSE Solvers. - Nico Meyer; Martin Röhn; Jakob Murauer; Axel Plinge; Christopher Mutschler; Daniel D. Scherer (QCE, 2024)

Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks. - Nico Meyer; Christian Ufrecht; Maniraman Periyasamy; Axel Plinge; Christopher Mutschler; Daniel D. Scherer; Andreas Maier 001 (QCE, 2024)

Guided-SPSA: Simultaneous Perturbation Stochastic Approximation Assisted by the Parameter Shift Rule. - Maniraman Periyasamy; Axel Plinge; Christopher Mutschler; Daniel D. Scherer; Wolfgang Mauerer (QCE, 2024)

Unitary Synthesis of Clifford+T Circuits with Reinforcement Learning. - Sebastian Rietsch; Abhishek Y. Dubey; Christian Ufrecht; Maniraman Periyasamy; Axel Plinge; Christopher Mutschler; Daniel D. Scherer (QCE, 2024)

SCIM MILQ: An HPC Quantum Scheduler. - Philipp Seitz; Manuel Geiger; Christian Ufrecht; Axel Plinge; Christopher Mutschler; Daniel D. Scherer; Christian B. Mendl (QCE, 2024)

Optimizing Quantum Circuits via ZX Diagrams using Reinforcement Learning and Graph Neural Networks. - Alexander Mattick; Maniraman Periyasamy; Christian Ufrecht; Abhishek Y. Dubey; Christopher Mutschler; Axel Plinge; Daniel D. Scherer (CoRR, 2025)