NonvolatileMemory / Regularized-AutoEncoder

ICLR2020 Regularized AutoEncoder Pytorch version

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Regularized-AutoEncoder

ICLR2020 Regularized AutoEncoder Pytorch version

This is the pytorch implementation of the ICLR2020 Paper titled 'From variational to deterministic Autoencoders'

The original author's repo (written by Tensorflow 2.0) is Regularized_autoencoders(RAE)

@inproceedings{
ghosh2020from,
title={From Variational to Deterministic Autoencoders},
author={Partha Ghosh and Mehdi S. M. Sajjadi and Antonio Vergari and Michael Black and Bernhard Scholkopf},
booktitle={International Conference on Learning Representations},
year={2020},
url={https://openreview.net/forum?id=S1g7tpEYDS}
}

A brief presentation of RAE

Watch a presentation

Paper link

https://openreview.net/forum?id=S1g7tpEYDS

MNIST(Only)

  • Sampled from XPDE(Ex-Post Density Estimation)

-- epoch=10 sampled epoch=10

-- epoch=30 sampled epoch=30

-- epoch=50 sampled epoch=50

  • Reconstruction Directly

-- epoch=10 reconstruct epoch=10

-- epoch=30 reconstruct epoch=30

-- epoch=50 reconstruct epoch=50

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ICLR2020 Regularized AutoEncoder Pytorch version

License:MIT License


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Language:Python 100.0%