8 citations · 46 across the 21 of their papers we have counts for
4 papers · 1 filter
Shallow and Deep Nonparametric Convolutions for Gaussian Processes
Thomas M. McDonald, Magnus Ross, Michael T. Smith +1
A key challenge in the practical application of Gaussian processes (GPs) is selecting a proper covariance function. The moving average, or process convolutions, construction of GPs…
Modelling calibration uncertainty in networks of environmental sensors
Michael Thomas Smith, Magnus Ross, Joel Ssematimba +4
Networks of low-cost sensors are becoming ubiquitous, but often suffer from poor accuracies and drift. Regular colocation with reference sensors allows recalibration but is complic…
Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional Autoencoder
Matthew Lyon, Paul Armitage, Mauricio A. Álvarez
High resolution diffusion MRI (dMRI) data is often constrained by limited scanning time in clinical settings, thus restricting the use of downstream analysis techniques that would…
Adjoint-aided inference of Gaussian process driven differential equations
Paterne Gahungu, Christopher W Lanyon, Mauricio A Alvarez +3
Linear systems occur throughout engineering and the sciences, most notably as differential equations. In many cases the forcing function for the system is unknown, and interest lie…