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stat.ML2024
Correspondence of NNGP Kernel and the Matern Kernel
Amanda Muyskens, Benjamin W. Priest, Imene R. Goumiri +1
Kernels representing limiting cases of neural network architectures have recently gained popularity. However, the application and performance of these new kernels compared to exist…
stat.CO2024
Identifiability and Sensitivity Analysis of Kriging Weights for the Matern Kernel
Amanda Muyskens, Benjamin W. Priest, Imene R. Goumiri +1
Gaussian process (GP) models are effective non-linear models for numerous scientific applications. However, computation of their hyperparameters can be difficult when there is a la…