Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...
Bayesian analysis of constrained Gaussian processes integrates prior knowledge and observed data to model complex functions subject to known restrictions. Constrained Gaussian processes extend ...
The technique of Gaussian Processes (GP) is widely used to reconstruct cosmological parameters, most notably the expansion rate of the universe, using observational data. For many cosmologists, the ...
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