RT @joshfasky: getting started... there was a lil' roadblock: how does one compare the 🧠 of a 🐒 to a 🐺or a 🐁to a 🐫? well...using networks 🌐…
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getting started... there was a lil' roadblock: how does one compare the 🧠 of a 🐒 to a 🐺or a 🐁to a 🐫? well...using networks 🌐, we can compare nets without needing to know if this node corresponds to that node yadda yadda... using methods like: https://t.co/
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#MachineLearning #DeepLearning ArXiv paper: https://t.co/TwEUlx0fM1 An information-theoretic, all-scales approach to comparing networks.
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@jrncarlock @gdeandajauregui @Nietzchrodinger @ruydg then do this a ton of times, average the results (btw i used the portrait divergence as the distance measure https://t.co/imwWkPDMAR) very under-sampled but here's a sense of what's emerging. anyways,