1. Arjovsky, M., Chintala, S., & Bottou, L. (2017). Wasserstein GAN. ArXiv pre-print, arXiv:1701.07875.
2. Benchmarking state-of-the-art classification algorithms for credit scoring;Baesens;Journal of the Operational Research Society,2003
3. Synthesizing electronic health records using improved generative adversarial networks;Baowaly;Journal of the American Medical Informatics Association,2019
4. Bellemare, M.G., Danihelka, I., Dabney, W., Mohamed, S., Lakshminarayanan, B., Hoyer, S., & Munos, R. (2017). The Cramer Distance as a Solution to Biased Wasserstein Gradients. ArXiv pre-print, arXiv:1705.10743.
5. Bengio, Y., Léonard, N., & Courville, A. (2013). Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation. ArXiv pre-print, arXiv:1308.3432.