Normalizing Flows for Probabilistic Modeling and Inference, George Papamakarios, Eric Nalisnick, Danilo Jimenez Rezende, Shakir Mohamed, Balaji Lakshminarayanan, 2021Journal of Machine Learning Research, Vol. 22 (Microtome Publishing)DOI: 10.5555/3501069.3501170 - Comprehensive review of normalizing flows, covering theoretical foundations, various architectures, and applications.
Density estimation using Real NVP, Laurent Dinh, Jascha Sohl-Dickstein, Samy Bengio, 2016International Conference on Learning Representations (ICLR)DOI: 10.48550/arXiv.1605.08803 - Introduces Real NVP, a widely used normalizing flow architecture based on affine coupling layers.
Masked Autoregressive Flow for Density Estimation, George Papamakarios, Theo Pavlakou, Iain Murray, 2017Advances in Neural Information Processing Systems (NeurIPS), Vol. 30DOI: 10.48550/arXiv.1705.07057 - Presents Masked Autoregressive Flow (MAF), an autoregressive normalizing flow particularly efficient for density estimation.
torch.distributions, PyTorch Developers, 2024 (PyTorch) - Official documentation for PyTorch's torch.distributions module, essential for implementing normalizing flows in PyTorch.