1. Achlioptas, P., Diamanti, O., Mitliagkas, I., Guibas, L.J.: Learning representations and generative models for 3D point clouds (2017)
2. Araki, S., Hayashi, T., Delcroix, M., Fujimoto, M., Takeda, K., Nakatani, T.: Exploring multi-channel features for denoising-autoencoder-based speech enhancement. In: 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 116–120 (2015)
3. Donahue, C., McAuley, J., Puckette, M.: Adversarial audio synthesis. In: International Conference on Learning Representations (2019)
4. Engel, J., Agrawal, K.K., Chen, S., Gulrajani, I., Donahue, C., Roberts, A.: GANSynth: adversarial neural audio synthesis. In: International Conference on Learning Representations (2019)
5. Engel, J., et al.: Neural audio synthesis of musical notes with WaveNet autoencoders. In: Precup, D., Teh, Y.W. (eds.) Proceedings of the 34th International Conference on Machine Learning, International Convention Centre, Sydney, Australia. Proceedings of Machine Learning Research, vol. 70, pp. 1068–1077. PMLR (2017)