Auto-Encoding Variational Bayes, Diederik P Kingma, Max Welling, 2014International Conference on Learning Representations (ICLR)DOI: 10.48550/arXiv.1312.6114 - Introduces the Variational Autoencoder (VAE) framework and the Evidence Lower Bound (ELBO) objective.
Importance Weighted Autoencoders, Yuri Burda, Roger Grosse, and Ruslan Salakhutdinov, 2016International Conference on Learning Representations (ICLR)DOI: 10.48550/arXiv.1502.05477 - Discusses importance sampling for tighter log-likelihood estimation in VAEs.
Disentangling by Factorizing, Hyunjik Kim, Andriy Mnih, 2018Proceedings of the 35th International Conference on Machine Learning, Vol. 80 (PMLR)DOI: 10.48550/arXiv.1802.05983 - Proposes FactorVAE for unsupervised disentangled representation learning and its evaluation metric.