Corpus ID: 8768364

Density estimation using Real NVP

@article{Dinh2017DensityEU,
  title={Density estimation using Real NVP},
  author={Laurent Dinh and Jascha Sohl-Dickstein and Samy Bengio},
  journal={ArXiv},
  year={2017},
  volume={abs/1605.08803}
}
  • Laurent Dinh, Jascha Sohl-Dickstein, Samy Bengio
  • Published 2017
  • Computer Science, Mathematics
  • ArXiv
  • Unsupervised learning of probabilistic models is a central yet challenging problem in machine learning. [...] Key Method We extend the space of such models using real-valued non-volume preserving (real NVP) transformations, a set of powerful invertible and learnable transformations, resulting in an unsupervised learning algorithm with exact log-likelihood computation, exact sampling, exact inference of latent variables, and an interpretable latent space. We demonstrate its ability to model natural images on…Expand Abstract

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