Auto-Encoding Variational Bayes, Diederik P Kingma, Max Welling, 2013arXiv preprintDOI: 10.48550/arXiv.1312.6114 - The foundational paper introducing Variational Autoencoders (VAEs) and their theoretical framework based on variational inference.
Generative Adversarial Networks, Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yoshua Bengio, 2014Advances in Neural Information Processing Systems 27 (NIPS 2014)DOI: 10.48550/arXiv.1406.2661 - The original paper that introduced Generative Adversarial Networks (GANs) and their adversarial training paradigm for generating data.
Deep Learning, Ian Goodfellow, Yoshua Bengio, and Aaron Courville, 2016 (MIT Press) - A comprehensive textbook that provides detailed explanations of foundational deep learning concepts, including Variational Autoencoders and Generative Adversarial Networks.