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JaxGaussianProcesses / JaxKern

Kernel functions in JAX.
MIT License
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feat: Divergence-free and Curl-free Matrix Value Kernels #35

Open adam-hartshorne opened 1 year ago

adam-hartshorne commented 1 year ago

As described in "Learning divergence-free and curl-free vector fields with matrix-valued kernels" by Macedo and Castro, 2010.

They outline how to define Matrix valued RBF functions which are divergence and curl free, for use in vector flow fields.

daniel-dodd commented 1 year ago

Hi @adam-hartshorne, happy to support you with a PR if this something you are interested in seeing. Note we currently do not have abstractions for multi-output kernel gram and cross-covariances - this might be something we'll need first. But keen to develop/add this soon (also aim to add some multi-output Gaussian process models to MOGPJax, dependent on this). Interested to hear your thoughts. :)