Merten Stender

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 6

Top Topics

Spatio Temporal Patterns

Machine Learning

Top Venues

Frontiers Appl. Math. Stat.

Neural Networks

Publications

Svenja Ehlers, Niklas A. Wagner, Annamaria Scherzl, Marco Klein, Norbert P. Hoffmann, Merten Stender
Data assimilation and parameter identification for water waves using the nonlinear Schrödinger equation and physics-informed neural networks. CoRR (2024)
Svenja Ehlers, Marco Klein, Alexander Heinlein, Mathies Wedler, Nicolas Desmars, Norbert P. Hoffmann, Merten Stender
Machine learning for phase-resolved reconstruction of nonlinear ocean wave surface elevations from sparse remote sensing data. CoRR (2023)
Charlotte Geier, Merten Stender, Norbert P. Hoffmann
Data-driven reduced order modeling for mechanical oscillators using Koopman approaches. Frontiers Appl. Math. Stat. 9 (2023)
Mathies Wedler, Merten Stender, Marco Klein, Svenja Ehlers, Norbert Hoffmann
Surface Similarity Parameter: A New Machine Learning Loss Metric for Oscillatory Spatio-Temporal Data. CoRR (2022)
Mathies Wedler, Merten Stender, Marco Klein, Svenja Ehlers, Norbert P. Hoffmann
Surface similarity parameter: A new machine learning loss metric for oscillatory spatio-temporal data. Neural Networks 156 (2022)
Merten Stender, Merten Tiedemann, David Spieler, Daniel Schoepflin, Norbert Hoffmann, Sebastian Oberst
Deep learning for brake squeal: vibration detection, characterization and prediction. CoRR (2020)