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No not really, this isn't generation for the sake of classification. It's generation in order to generate a dataset to train a new network that exhibits the characteristics of the network in the paper that can be used quickly and in a more general fashion.

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Meaning that your assumption is that there is an optimal generalized network structure for generate a neural network as described in the paper and that as such, what is missing from the research is how to create an optimal way to generate a malformed source/target seed.

Is that correct?

I'm not suggesting it's missing from the research as I don't have anywhere near the area of expertise to make that call.

But you're correct in your summary: I'm wondering if that's a possible follow up.

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