Generative Adversarial Networks, Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio, 2014Advances in Neural Information Processing Systems 27 (Curran Associates, Inc.)DOI: 10.55982/tjc.2014.288 - The original paper introducing Generative Adversarial Networks, detailing their architecture and minimax training framework.
Auto-Encoding Variational Bayes, Diederik P. Kingma and Max Welling, 2013arXiv preprint arXiv:1312.6114DOI: 10.48550/arXiv.1312.6114 - The original paper introducing Variational Autoencoders, explaining the probabilistic framework and the Evidence Lower Bound objective.
Deep Learning, Ian Goodfellow, Yoshua Bengio, and Aaron Courville, 2016 (MIT Press) - A comprehensive textbook providing a theoretical and practical foundation in deep learning, with dedicated chapters on generative models such as GANs and VAEs.