2023
PCF-GAN: generating sequential data via the characteristic function of measures on the path space
NeurIPS 2023poster
Generating high-fidelity time series data using generative adversarial networks (GANs) remains a challenging task, as it is difficult to capture the temporal dependence of joint probability distributions induced by time-series data. Towards this goal, a key step is the development of an effective di…