Corpus ID: 208637478

Normalizing Flows for Probabilistic Modeling and Inference

@article{Papamakarios2019NormalizingFF,
  title={Normalizing Flows for Probabilistic Modeling and Inference},
  author={George Papamakarios and Eric T. Nalisnick and Danilo Jimenez Rezende and Shakir Mohamed and Balaji Lakshminarayanan},
  journal={ArXiv},
  year={2019},
  volume={abs/1912.02762}
}

George Papamakarios, Eric T. Nalisnick, +2 authors Balaji Lakshminarayanan

Published 2019

Mathematics, Computer Science

ArXiv

Normalizing flows provide a general mechanism for defining expressive probability distributions, only requiring the specification of a (usually simple) base distribution and a series of bijective transformations. There has been much recent work on normalizing flows, ranging from improving their expressive power to expanding their application. We believe the field has now matured and is in need of a unified perspective. In this review, we attempt to provide such a perspective by describing flows… CONTINUE READING

View PDF on arXiv

Save to Library

Create Alert

Cite

Launch Research Feed