4 citations · 12 across the 6 of their papers we have counts for
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math.NA2022★ 2 cited
A Deep Fourier Residual Method for solving PDEs using Neural Networks
Jamie M. Taylor, David Pardo, Ignacio Muga
When using Neural Networks as trial functions to numerically solve PDEs, a key choice to be made is the loss function to be minimised, which should ideally correspond to a norm of…
cs.LG2022★ 2 cited
Automated machine learning for borehole resistivity measurements
M. Shahriari, D. Pardo, S. Kargaran +1
Deep neural networks (DNNs) offer a real-time solution for the inversion of borehole resistivity measurements to approximate forward and inverse operators. It is possible to use ex…