Hong-Kun Zhang

CauchyNet: Compact and Data-Efficient Learning using Holomorphic Activation Functions

A novel neural network inspired by Cauchy's integral formula, is proposed for function approximation tasks that include time series forecasting, missing data imputation, etc. Hence, the novel neural network is named CauchyNet. By embedding real-valued data into the complex plane, CauchyNet efficient…