Learning Generative Models of Structured Signals from Their Superposition Using GANs with Application to Denoising and Demixing

Mohammadreza Soltani, Swayambhoo Jain, Abhinav Sambasivan

Recently, Generative Adversarial Networks (GANs) have emerged as a popular alternative for modeling complex high dimensional distributions. Most of the existing works implicitly as…