Before revision:  Quant GANs consist of a generator and discriminator function  which utilize temporal convolutional networks (TCNs) and thereby achieve to capture longer-ranging dependencies such as the presence of volatility clusters.
After revision:  Quant GANs consist of a generator and discriminator function , which utilize temporal convolutional networks (TCNs) and thereby achieve to capture longer-ranging dependencies such as the presence of volatility clusters.