116 citations · 235 across the 4 of their papers we have counts for
4 papers
LunarFM: A Shared Multimodal Representation of the Moon's Surface
Marc Girona-Mata, Jakob Gawlikowski, Sumit Goski +6
The renewed global focus on lunar exploration, driven by the prospect of in-situ resource utilization and a sustained human presence on the Moon, has created growing demand for acc…
Solving the wave equation with physics-informed deep learning
Ben Moseley, Andrew Markham, Tarje Nissen-Meyer
We investigate the use of Physics-Informed Neural Networks (PINNs) for solving the wave equation. Whilst PINNs have been successfully applied across many physical systems, the wave…
Rk-means: Fast Clustering for Relational Data
Ryan Curtin, Ben Moseley, Hung Q. Ngo +3
Conventional machine learning algorithms cannot be applied until a data matrix is available to process. When the data matrix needs to be obtained from a relational database via a f…
Fast approximate simulation of seismic waves with deep learning
Benjamin Moseley, Andrew Markham, Tarje Nissen-Meyer
We simulate the response of acoustic seismic waves in horizontally layered media using a deep neural network. In contrast to traditional finite-difference modelling techniques our…