Svenja Ehlers

According to our database, Svenja Ehlers authored at least 5 papers between 2022 and 2025.

Collaborative distances:

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

2025

Bridging ocean wave physics and deep learning: Physics-informed neural operators for nonlinear wavefield reconstruction in real-time.

Svenja Ehlers, Merten Stender, Norbert P. Hoffmann

CoRR, August, 2025

Physics-informed neural networks for phase-resolved data assimilation and prediction of nonlinear ocean waves.

Svenja Ehlers, Norbert P. Hoffmann, Tianning Tang, Adrian H. Callaghan, Rui Cao, Enrique M. Padilla, Yuxin Fang, Merten Stender

CoRR, January, 2025

2024

Data assimilation and parameter identification for water waves using the nonlinear Schrödinger equation and physics-informed neural networks.

Svenja Ehlers, Niklas A. Wagner, Annamaria Scherzl, Marco Klein, Norbert P. Hoffmann, Merten Stender

CoRR, 2024

2023

Machine learning for phase-resolved reconstruction of nonlinear ocean wave surface elevations from sparse remote sensing data.

Svenja Ehlers, Marco Klein, Alexander Heinlein, Mathies Wedler, Nicolas Desmars, Norbert P. Hoffmann, Merten Stender

CoRR, 2023

2022

Surface similarity parameter: A new machine learning loss metric for oscillatory spatio-temporal data.

Mathies Wedler, Merten Stender, Marco Klein, Svenja Ehlers, Norbert P. Hoffmann

Neural Networks, 2022