1. Wasserstein generative adversarial networks;Arjovsky,2017
2. Using Wasserstein generative adversarial networks for the design of Monte Carlo simulations;Athey;Journal of Econometrics,2021
3. Some theoretical properties of GANs;Biau;The Annals of Statistics,2018
4. Some theoretical insights into Wasserstein GANs;Biau;Journal of Machine Learning Research,2021
5. Conditional time series forecasting with convolutional neural networks;Borovykh,2017