Abstract: This paper introduces neuroevolution for solving differential equations. The solution is obtained through optimizing a deep neural network whose loss function is defined by the residual ...

Abstract: In many signal processing tasks, one seeks to recover an rcolumn matrix object X ϵ ℂ n×r from a set of nonnegative quadratic measurements up to orthonormal transforms. Example applications ...