Bayesian Reasoning with Deep-Learned Knowledge

29 Jan 2020 Jakob Knollmüller Torsten Enßlin

We use independently trained neural networks to represent abstract concepts and combine them through Bayesian reasoning to approach tasks outside their initial scope. Prior knowledge is provided by deep generative models and classification or regression networks are used to express knowledge on complex features of the system... (read more)

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