389 citations · 1.4k across the 52 of their papers we have counts for
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cs.AI2018
On the Relative Expressiveness of Bayesian and Neural Networks
Arthur Choi, Ruocheng Wang, Adnan Darwiche
A neural network computes a function. A central property of neural networks is that they are "universal approximators:" for a given continuous function, there exists a neural netwo…
cs.AI2018
A Symbolic Approach to Explaining Bayesian Network Classifiers
Andy Shih, Arthur Choi, Adnan Darwiche
We propose an approach for explaining Bayesian network classifiers, which is based on compiling such classifiers into decision functions that have a tractable and symbolic form. We…