Publications

Patrick Egenlauf, Iva Březinová, Sabine Andergassen, and Miriam Klopotek. Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations. 2025. [PUMA: myown patrickegenlauf publist manybodyml physics machinelearning] URL

Christian Mayer, Claas Olthoff, and Jonas Holl. Enhancing Spaceflight Autonomy with Machine Learning: Fault Detection in Life Support Systems. October 2025. [PUMA: MachineLearning V-HAB hsf irs myown] URL

Manuel Klaiber, Matthias Hartmann, Jan-Patrick Hermani, Andreas Jahn, and Andreas Michalowski. Multimodal sensor fusion with SWIR imaging and audio for inline gas-tightness monitoring in laser-welded bipolar plates. Optics & Laser Technology, (192):113441, Elsevier BV, December 2025. [PUMA: myown peer machinelearning laserwelding sensorfusion] URL

Manuel Klaiber, Matthias Hartmann, Jan-Patrick Hermani, Andreas Jahn, and Andreas Michalowski. Multimodal sensor fusion with SWIR imaging and audio for inline gas-tightness monitoring in laser-welded bipolar plates. Optics & Laser Technology, (192):113441, Elsevier BV, December 2025. [PUMA: laserwelding machinelearning myown peer sensorfusion] URL

Patrick Egenlauf, and Miriam Klopotek. Coarse-graining non-equilibrium systems with machine learning: from conceptual challenges to new approaches. The EPS Forum, March 2024. [PUMA: machinelearning manybodyml myown patrickegenlauf physics posterlist]

Patrick Egenlauf, and Miriam Klopotek. Coarse-graining non-equilibrium systems with machine learning. DPG Spring Meetings 2024, March 2024. [PUMA: machinelearning manybodyml myown patrickegenlauf physics talklist]

H. von Linde, and O. Riedel. A methodology for evaluating feature selection and clustering methods with project-specific requirements. International Journal of Production Research, (63)5:1692–1706, Taylor & Francis, August 2024. [PUMA: MachineLearning isw] URL

Patrick Egenlauf, Patric Rommel, and Jörg Main. Gaussian-process-regression-based method for the localization of exceptional points in complex resonance spectra. Machine Learning: Science and Technology, Mar 1, 2024. [PUMA: MachineLearning PatrickEgenlauf QuantumMechanics myown patrickegenlauf physics publist] URL

Tim Reeber, Jan Wolf, and Hans Christian Möhring. A Data-Driven Approach for Cutting Force Prediction in FEM Machining Simulations Using Gradient Boosted Machines. J. Manuf. Mater. Process., (8(3))1072024. [PUMA: FEM MachineLearning machining manufacturing]

Tim" "Reeber, Jan" "Wolf, and Hans Christian" "Möhring. A Data-Driven Approach for Cutting Force Prediction in FEM Machining Simulations Using Gradient Boosted Machines. J. Manuf. Mater. Process., (8(3))1072024. [PUMA: machining manufacturing FEM MachineLearning]

Alexander S. Behr, Marc Völkenrath, and Norbert Kockmann. Ontology Extension with NLP-based Concept Extraction for Domain Experts in Catalytic Sciences. Research Square Platform LLC, January 2023. [PUMA: forschungsdaten machinelearning metadata ontologie] URL

Alexandra Baier, and Steffen Staab. A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances. 2022. [PUMA: EXC2075 deeplearning exc2075 machinelearning myown pn4 simtech]

Alexandra Baier, and Steffen Staab. A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances. 2022. [PUMA: myown simtech deeplearning pn4 from:alexbaier machinelearning EXC2075 exc2075]

Raphael H. Heiberger. Applying Machine Learning in Sociology: How to Predict Gender and Reveal Research Preferences. KZfSS Kölner Zeitschrift für Soziologie und Sozialpsychologie, May 19, 2022. [PUMA: machinelearning s7 sociology sowi_VII] URL

Alexandra Baier, Zeyd Boukhers, and Steffen Staab. Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction. 2021. [PUMA: EXC2075 deeplearning machinelearning myown pn4 prePrint simtech] URL

Sean Papay, Roman Klinger, and Sebastian Padó. Dissecting Span Identification Tasks with Performance Prediction. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, 2020. [PUMA: machinelearning metalearning myown ner nlp] URL

Florian Jaensch, Akos Csiszar, Janik Sarbandi, and Alexander Verl. Reinforcement Learning of a Robot Cell Control Logic using a Software-in-the-Loop Simulation as Environment. 2019 Second International Conference on Artificial Intelligence for Industries (AI4I), 79-84, September 2019. [PUMA: MachineLearning grk2198 isw myown] URL

Florian Jaensch, Akos Csiszar, Annika Kienzlen, and Alexander Verl. Reinforcement Learning of Material Flow Control Logic Using Hardware-in-the-Loop Simulation. 2018 First International Conference on Artificial Intelligence for Industries (AI4I), 77-80, September 2018. [PUMA: DigitalTwin MachineLearning grk2198 isw myown] URL

Florian Jaensch, Akos Csiszar, Christian Scheifele, and Alexander Verl. Digital Twins of Manufacturing Systems as a Base for Machine Learning. 2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP), 1-6, November 2018. [PUMA: DigitalTwin DigitaleFabrik MachineLearning grk2198 isw myown] URL

T. Küstner, S. Gatidis, A. Liebgott, M. Schwartz, L. Mauch, P. Martirosian, H. Schmidt, NF. Schwenzer, K. Nikolaou, F. Bamberg, B. Yang, and F. Schick. A machine-learning framework for automatic reference-free quality assessment in MRI. Magnetic Resonance Imaging, (53):134 - 147, 2018. [PUMA: iqa kspaceastronauts machinelearning] URL