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Ben Moseley
ORCID
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 6
Top Topics
Neural Network
Decomposition Methods
Differential Equations
Noise Model
Top Venues
CoRR
Adv. Comput. Math.
CVPR
IEEE Robotics Autom. Mag.
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Publications
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Jose Ignacio Delgado-Centeno
,
Paula Harder
,
Valentin Tertius Bickel
,
Ben Moseley
,
Freddie Kalaitzis
,
Siddha Ganju
,
Miguel A. Olivares-Méndez
Superresolution of Lunar Satellite Images for Enhanced Robotic Traverse Planning: Maximizing the Value of Existing Data Products for Space Robotics.
IEEE Robotics Autom. Mag.
31 (2) (2024)
Victorita Dolean
,
Alexander Heinlein
,
Siddhartha Mishra
,
Ben Moseley
Multilevel domain decomposition-based architectures for physics-informed neural networks.
CoRR
(2023)
Ben Moseley
,
Andrew Markham
,
Tarje Nissen-Meyer
Finite basis physics-informed neural networks (FBPINNs): a scalable domain decomposition approach for solving differential equations.
Adv. Comput. Math.
49 (4) (2023)
Victorita Dolean
,
Alexander Heinlein
,
Siddhartha Mishra
,
Ben Moseley
Finite basis physics-informed neural networks as a Schwarz domain decomposition method.
CoRR
(2022)
Ben Moseley
,
Andrew Markham
,
Tarje Nissen-Meyer
Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations.
CoRR
(2021)
Ben Moseley
,
Valentin Bickel
,
Ignacio G. Lopez Francos
,
Loveneesh Rana
Extreme Low-Light Environment-Driven Image Denoising Over Permanently Shadowed Lunar Regions With a Physical Noise Model.
CVPR
(2021)