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Just having heard lately about BNNs (wow, ANNs and CNNs are clear; now there's a B? What's that? Ahh, Bayesian ;-)) and quickly getting their main idea and focus, that is, weights not being pure static numbers anymore, but instead described by a distribution function, allowing the net to be "uncertain" about its answers (for more about BNNs, see, for example, this post, or, if you want to know a lot about them, check out this introduction and survey), I'm now curious about any practical examples of where BNNs are used nowadays, maybe even more successful than other (deep learning) alternatives?

Thanks to nbro's comment here, pointing our that asking this question is not unknowingly, but relevant.

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  • $\begingroup$ Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. $\endgroup$
    – Community Bot
    yesterday
  • $\begingroup$ arxiv.org/pdf/2002.00269.pdf $\endgroup$
    – dangom
    yesterday

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