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Found 3 papers, 2 papers with code
Non-linear process convolutions for multi-output Gaussian processes
We provide closed-form expressions for the mean function and the covariance function of the approximated Gaussian process at the output of the Volterra series.
Fast Kernel Approximations for Latent Force Models and Convolved Multiple-Output Gaussian processes
A latent force model is a Gaussian process with a covariance function inspired by a differential operator.
Indian Buffet process for model selection in convolved multiple-output Gaussian processes
We propose in this paper, the use of an Indian Buffet process as a way to perform model selection over the number of latent Gaussian processes.
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