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For more information, see http://arxiv.org/abs/1412.6617
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README.md
license.md
mnist_1bit_mpf.py
mnist_fmpf.py
mpf_optimizer.py
rbm_mpf.py
utils.py

README.md

Minimum_probability_flow_learning

Python (Theano) implementation of Minimum Probability Flow learning code provided by Daniel Jiwoong Im. The code includes minimum probability flow with one-bit flip and factored minimum probability flow. For more information, see

@article{Im2015mpf,
  title={Understanding Minimum Probability Flow for RBMs Under Various Kinds of Dynamics},
  author={Im, Daniel Jiwoong and Buchman, Ethan and Taylor, Graham},
  journal={International Conference on Learning Representations (ICLR) Workshop Track},
  year={2015}
}

If you use this in your research, we kindly ask that you cite the above workshop paper

Dependencies

Packages

How to run

Entry code for one-bit flip and factored minimum probability flow for mnist data are

    - mnist_1bit_mpf.py
    - mnist_fmpf.py
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