2 papers
stat.AP2024
Fusing Climate Data Products using a Spatially Varying Autoencoder
Jacob A. Johnson, Matthew J. Heaton, William F. Christensen +2
Autoencoders are powerful machine learning models used to compress information from multiple data sources. However, autoencoders, like all artificial neural networks, are often uni…
stat.CO2023
Minibatch Markov chain Monte Carlo Algorithms for Fitting Gaussian Processes
Matthew J Heaton, Jacob A. Johnson
Gaussian processes (GPs) are a highly flexible, nonparametric statistical model that are commonly used to fit nonlinear relationships or account for correlation between observation…