Conditional Sig-Wasserstein GANs for Time Series Generation

Shujian Liao, Hao Ni, Lukasz Szpruch +3

Generative adversarial networks (GANs) have been extremely successful in generating samples, from seemingly high dimensional probability measures. However, these methods struggle t…