4 citations · 7 across the 7 of their papers we have counts for
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stat.ML2022
A deep mixture density network for outlier-corrected interpolation of crowd-sourced weather data
Charlie Kirkwood, Theo Economou, Henry Odbert +1
As the costs of sensors and associated IT infrastructure decreases - as exemplified by the Internet of Things - increasing volumes of observational data are becoming available for…
stat.ML2020★ 1 cited
Bayesian deep learning for mapping via auxiliary information: a new era for geostatistics?
Charlie Kirkwood, Theo Economou, Nicolas Pugeault
For geospatial modelling and mapping tasks, variants of kriging - the spatial interpolation technique developed by South African mining engineer Danie Krige - have long been regard…