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Normalizing flow

This is the Pytorch implementation of Masked autoregressive flow (MAF) and Inverse autoregressive flow (IAF).

Normalizing flow에 관한 설명은 제 블로그에 있습니다.

Used libraries

  • pytorch 1.6.0
  • numpy 1.19.1
  • IDE: Visual studio code

Original work

@article{papamakarios2017masked,
  title={Masked autoregressive flow for density estimation},
  author={Papamakarios, George and Pavlakou, Theo and Murray, Iain},
  journal={Advances in neural information processing systems},
  volume={30},
  year={2017}
}
@article{kingma2016improved,
  title={Improved variational inference with inverse autoregressive flow},
  author={Kingma, Durk P and Salimans, Tim and Jozefowicz, Rafal and Chen, Xi and Sutskever, Ilya and Welling, Max},
  journal={Advances in neural information processing systems},
  volume={29},
  year={2016}
}

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PyTorch implementation of Masked autoregressive flow and Inverse autoregressive flow

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