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cs.LG2020
Reducing Neural Network Parameter Initialization Into an SMT Problem
Mohamad H. Danesh
Training a neural network (NN) depends on multiple factors, including but not limited to the initial weights. In this paper, we focus on initializing deep NN parameters such that i…
cs.LG2020★ 5 cited
Re-understanding Finite-State Representations of Recurrent Policy Networks
Mohamad H. Danesh, Anurag Koul, Alan Fern +1
We introduce an approach for understanding control policies represented as recurrent neural networks. Recent work has approached this problem by transforming such recurrent policy…