22 citations · 57 across the 15 of their papers we have counts for
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cs.AI2019★ 22 cited
Inductive Logic Programming via Differentiable Deep Neural Logic Networks
Ali Payani, Faramarz Fekri
We propose a novel paradigm for solving Inductive Logic Programming (ILP) problems via deep recurrent neural networks. This proposed ILP solver is designed based on differentiable…
cs.LG2019★ 13 cited
Learning Algorithms via Neural Logic Networks
Ali Payani, Faramarz Fekri
We propose a novel learning paradigm for Deep Neural Networks (DNN) by using Boolean logic algebra. We first present the basic differentiable operators of a Boolean system such as…