1. Adler, J., Lunz, S.: Banach wasserstein gan. Adv. Neural Inf. Process. Syst. (2018)
2. Chae, D.K., Kang, J.S., Kim, S.W.: CFGAN: a generic collaborative filtering framework based on generative adversarial networks. In: CIKM, pp. 137–146 (2018)
3. Chen, X., et al.: Sequential recommendation with user memory networks. In: WSDM, pp. 108–116 (2018)
4. Chen, Z., Liu, P.: Towards better data augmentation using wasserstein distance in variational auto-encoder. arXiv preprint arXiv:2109.14795 (2021)
5. Ezukwoke, K., Hoayek, A., Batton-Hubert, M., Boucher, X.: GCVAE: generalized-controllable variational autoencoder (2022)