Follow
Ben Moseley
Ben Moseley
Verified email at robots.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
Fast approximate simulation of seismic waves with deep learning
B Moseley, A Markham, T Nissen-Meyer
arXiv preprint arXiv:1807.06873, 2018
532018
Solving the wave equation with physics-informed deep learning
B Moseley, A Markham, T Nissen-Meyer
arXiv preprint arXiv:2006.11894, 2020
362020
Deep learning for fast simulation of seismic waves in complex media
B Moseley, T Nissen-Meyer, A Markham
Solid Earth 11 (4), 1527-1549, 2020
332020
Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations
B Moseley, A Markham, T Nissen-Meyer
arXiv preprint arXiv:2107.07871, 2021
102021
Bayesian optimisation for variational quantum eigensolvers
B Moseley, M Osborne, S Benjamin
42018
Seismic localization of elephant rumbles as a monitoring approach
M Reinwald, B Moseley, A Szenicer, T Nissen-Meyer, S Oduor, F Vollrath, ...
Journal of the Royal Society Interface 18 (180), 20210264, 2021
32021
Extreme low-light environment-driven image denoising over permanently shadowed lunar regions with a physical noise model
B Moseley, V Bickel, IG López-Francos, L Rana
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
32021
Peering into lunar permanently shadowed regions with deep learning
VT Bickel, B Moseley, I Lopez-Francos, M Shirley
Nature communications 12 (1), 1-12, 2021
22021
Unsupervised learning for thermophysical analysis on the lunar surface
B Moseley, V Bickel, J Burelbach, N Relatores
The Planetary Science Journal 1 (2), 32, 2020
22020
On coresets for regularized loss minimization
RR Curtin, S Im, B Moseley, K Pruhs, A Samadian
arXiv preprint arXiv:1905.10845, 2019
22019
Low-light image enhancement of permanently shadowed lunar regions with physics-based machine learning
B Moseley, V Bickel, I Lopez-Francos, L Rana, MA Olivares Mendez, ...
Low-light image enhancement of permanently shadowed lunar regions with …, 2020
12020
Unsupervised learning for thermal anomaly detection on the lunar surface
B Moseley, V Bickel, J Burelbach, N Relatores, D Angerhausen, ...
Second Workshop on Machine Learning and the Physical Sciences, NeurIPS 2019, 2019
12019
4D Broadband Towed-Streamer Assessment, West Africa Deep Water Case Study
D Lecerf, D Raistrick, B Caselitz, M Wingham, J Bradley, B Moseley
80th EAGE Conference and Exhibition 2018 2018 (1), 1-5, 2018
12018
Stack Ghost Suppression
B Moseley
US Patent App. 14/994,295, 2016
12016
Post-stack 1-D Based Broadband Processing-A Simple and Efficient Method for Removing the Ghost
B Moseley
77th EAGE Conference and Exhibition 2015 2015 (1), 1-5, 2015
12015
Seismic savanna: machine learning for classifying wildlife and behaviours using ground‐based vibration field recordings
A Szenicer, M Reinwald, B Moseley, T Nissen‐Meyer, Z Mutinda Muteti, ...
Remote Sensing in Ecology and Conservation 8 (2), 236-250, 2022
2022
HORUS—Unprecedented Views into Lunar Shadowed Regions
VT Bickel, B Moseley, I Lopez-Francos, M Shirley
LPI Contributions 2678, 1821, 2022
2022
Single Image Super-Resolution with Uncertainty Estimation for Lunar Satellite Images
JI Delgado-Centeno, P Harder, B Moseley, V Bickel, S Ganju, ...
NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications, 2021
2021
Scaling physics-informed neural networks to large domains by using domain decomposition
B Moseley, A Markham, T Nissen-Meyer
The Symbiosis of Deep Learning and Differential Equations, 2021
2021
A Big Data and AI-Driven Approach for Anomaly Detection on the Lunar Surface
V Bickel, J Burelbach, B Moseley, N Relatores
51st Lunar and Planetary Science Conference. Program and Abstracts, 2066, 2020
2020
The system can't perform the operation now. Try again later.
Articles 1–20