Loss Function Design for Deep Unfolded Sparse Signal Recovery: Supervised and Unsupervised Learning

Koshi Nagahisa, Ryo Hayakawa, Youji Iiguni

This paper investigates the impact of loss function design in deep unfolding techniques for sparse signal recovery algorithms. We focus on deep unfolded versions of the fundamental…