ML-KULeuven / catlog

Gradient estimation of discrete probabilistic models with the CatLog-Derivative trick

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CatLog-Derivative trick

This repository contains the code and data generation for the experiments presented in the paper "Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick".

The two synthetic experiments can be found in synthetic.
The code for our discrete variational auto-encoders is given in DVAE.
The final neural-symbolic experiment is provided in ADDITION.

More details about the experiments and their implementation is given in their respective folders.

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Gradient estimation of discrete probabilistic models with the CatLog-Derivative trick

License:Apache License 2.0


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