Comparison of Invertible Architectures for High Speed Channel Design

In this paper, we perform a comparison of state-of-the-art inverse design strategies for a high-speed link. We take into account three machine learning architectures: (1) traditional fully-connected neural networks, (2) conditional generative adversarial networks and (3) invertible neural networks. The metrics for evaluation include quantitative mean-squared-errors on the test set as well as quali...