Anyone has implemented Kernel SVD in this ICLR 2019 paper?

Hello experts,
recently I am trying out Flux.jl to initiate a research project on ML. I quickly ran into the issue of network compression and knowledge distillation. I have a background in physics and I have heard about the success of SVD decomposition in tensor network algorithms. Then I came across this paper

The Singular Values of Convolutional Layers
(by Hanie Sedghi, Vineet Gupta and Philip M. Long from Google Brain)

My question is :
has anyone implemented the Flux equivalent of the kernel SVD in this paper ?

Thanks in advance :smiley:

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