Ben Moseley

According to our database, Ben Moseley authored at least 5 papers between 2021 and 2023.

Collaborative distances:

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

2023

Finite basis physics-informed neural networks (FBPINNs): a scalable domain decomposition approach for solving differential equations.

Ben Moseley, Andrew Markham, Tarje Nissen-Meyer

Adv. Comput. Math., August, 2023

Multilevel domain decomposition-based architectures for physics-informed neural networks.

Victorita Dolean, Alexander Heinlein, Siddhartha Mishra, Ben Moseley

CoRR, 2023

2022

Physics-informed machine learning: from concepts to real-world applications.

Ben Moseley

PhD thesis, 2022

Finite basis physics-informed neural networks as a Schwarz domain decomposition method.

Victorita Dolean, Alexander Heinlein, Siddhartha Mishra, Ben Moseley

CoRR, 2022

2021

Extreme Low-Light Environment-Driven Image Denoising Over Permanently Shadowed Lunar Regions With a Physical Noise Model.

Ben Moseley, Valentin Tertius Bickel, Ignacio G. Lopez Francos, Loveneesh Rana

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021