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can you name some references please? also, what do you mean by deep functions?

• nextos 5y ago
  Apologies, for the late reply. By deep functions I simply meant small deep networks embedded in probabilistic models as a drop-in replacement for probability distributions, like e.g. a neuralHMM: https://pyro.ai/examples/hmm_funsor.html https://pyro.ai/examples/hmm_funsor.html Aside from looking into Pyro docs and all references, another good entry point is this publication: https://arxiv.org/pdf/1610.05735.pdf https://arxiv.org/pdf/1610.05735.pdf. Here the authors show how to use deep networks to aid sampling of complex probabilistic models.
  • medo-bear 5y ago
    Thank you. I didn't notice that you replied. These links are quite helpful. I think that eventually AI will start to incorporate all the new ML stuff into the old symbolic stuff and I think probabilistic models are a good way to link the two