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Thx for your awesome paper and code!
I am trying rewriting training code, however I have some question for my bad understanding QQ
In "def generateSmooth"
why temp_smooth with kernel and abskernel together? cuz in paper, there is no absolute for kernel
My training result, kernel becomes zero and thus Lts become converging XDDD
Is there any constraints for kernel in training?
The text was updated successfully, but these errors were encountered:
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Thx for your awesome paper and code!
I am trying rewriting training code, however I have some question for my bad understanding QQ
In "def generateSmooth"
why temp_smooth with kernel and abskernel together? cuz in paper, there is no absolute for kernel
My training result, kernel becomes zero and thus Lts become converging XDDD
Is there any constraints for kernel in training?
The text was updated successfully, but these errors were encountered: