Tuka Waddah AlHanai

Feature Imitating Networks

We introduce a novel approach to neural learning: the Feature-Imitating-Network (FIN). A FIN is a neural network with weights that are initialized to reliably approximate one or more closed-form statistical features, such as Shannon’s entropy. In this paper, we demonstrate that FINs (and FIN ensembl…