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Source code for the paper: M. Karami, D. Schuurmans, Jascha Sohl-Dickstein, Daniel Duckworth, Laurent Dinh, “Invertible Convolutional Flow", Advances in Neural Information Processing Systems (NeurIPS) 2019

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Invertible-Convolutional-Flow

Source code for reproducing the results in the paper:

M. Karami, D. Schuurmans, Jascha Sohl-Dickstein, Daniel Duckworth, Laurent Dinh, “Invertible Convolutional Flow", Advances in Neural Information Processing Systems (NeurIPS) 2019 [arxiv] [bibtex]

Requirements

  • Tensorflow (tested with v1.8.0)
  • Pytorch (tested with ...)

Usage

Tabular datasets from MAF: ...

MNIST/CIFAR10: ...

VAE Experiments (based on Sylvester VAE): ...

Download datasets

Tabular (UCI + BSDS300)

...

VAE datasets

...

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Source code for the paper: M. Karami, D. Schuurmans, Jascha Sohl-Dickstein, Daniel Duckworth, Laurent Dinh, “Invertible Convolutional Flow", Advances in Neural Information Processing Systems (NeurIPS) 2019

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