Sharan Yalburgi
Sharan Yalburgi
Removing unneeded definitions and using `@boundscheck` macro based on discussion in https://github.com/JuliaGaussianProcesses/AbstractGPs.jl/pull/30
#116 I have defined `kernelmatrix` for wiener kernel. This avoid the "slow method" ~~but gives `NaN`s in the Zygote gradient~~.
https://travis-ci.com/github/JuliaGaussianProcesses/KernelFunctions.jl/jobs/382246276 I am not able to pin-point the issue as I do not use MacOS.
Related PR #111 Please find a generic way to deal with dimensions of inputs to kernels as @willtebbutt and @devmotion had suggested in #111 . I had to remove restrictions...
Related PR #70 Related Comment [link](https://github.com/JuliaGaussianProcesses/KernelFunctions.jl/pull/70#pullrequestreview-403751395) TODO: Implement efficient way to deal with multi dimensional input for the `NeuralNetworkKernel`.
GPML kernels: https://github.com/alshedivat/gpml/tree/master/cov
Not sure why this annoying warning pops up only with Flux and not other required packages like Stheno or PolyChaos. ```julia ┌ Warning: Error requiring `Flux` from `Surrogates` -- |...
This enables the computation of `dtc` on GPU
The internal implementation of VFE/DTC are non-standard and need references to their derivations. Related literature: - VFE: M. K. Titsias. "Variational learning of inducing variables in sparse Gaussian processes". In:...