Stefan Kowarik

According to our database, Stefan Kowarik authored at least 7 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Neural network analysis of neutron and X-ray reflectivity data: Incorporating prior knowledge for tackling the phase problem.

Valentin Munteanu, Vladimir Starostin, Alessandro Greco, Linus Pithan, Alexander Gerlach, Alexander Hinderhofer, Stefan Kowarik, Frank Schreiber

CoRR, 2023

Closing the loop: Autonomous experiments enabled by machine-learning-based online data analysis in synchrotron beamline environments.

Linus Pithan, Vladimir Starostin, David Marecek, Lukas Petersdorf, Constantin Völter, Valentin Munteanu, Maciej Jankowski, Oleg Konovalov, Alexander Gerlach, Alexander Hinderhofer, Bridget M. Murphy, Stefan Kowarik, Frank Schreiber

CoRR, 2023

2022

Artificial Intelligence for Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy Using a Novel Data Augmentation Method.

Florian Fricke, Marcelo Brandalero, Sascha Liehr, Simon Kern, Klas Meyer, Stefan Kowarik, Robin Hierzegger, Stephan Westerdick, Michael Maiwald, Michael Hübner

IEEE Trans. Emerg. Top. Comput., 2022

2021

Neural network analysis of neutron and x-ray reflectivity data: pathological cases, performance and perspectives.

Alessandro Greco, Vladimir Starostin, Alexander Hinderhofer, Alexander Gerlach, Maximilian W. A. Skoda, Stefan Kowarik, Frank Schreiber

Mach. Learn. Sci. Technol., 2021

Artificial Intelligence for Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy.

Florian Fricke, Safdar Mahmood, Javier Hoffmann, Marcelo Brandalero, Sascha Liehr, Simon Kern, Klas Meyer, Stefan Kowarik, Stephan Westerdick, Michael Maiwald, Michael Hübner

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020

Fiber Optic Train Monitoring with Distributed Acoustic Sensing: Conventional and Neural Network Data Analysis.

Stefan Kowarik, Maria-Teresa Hussels, Sebastian Chruscicki, Sven Münzenberger, Andy Lämmerhirt, Patrick Pohl, Max Schubert

Sensors, 2020

2019

Fast Fitting of Reflectivity Data of Growing Thin Films Using Neural Networks.

Alessandro Greco, Vladimir Starostin, Christos Karapanagiotis, Alexander Hinderhofer, Alexander Gerlach, Linus Pithan, Sascha Liehr, Frank Schreiber, Stefan Kowarik

CoRR, 2019