GFlowNet-EM

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Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.

// repository documentation

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# Source code for experiments in "GFlowNet-EM for Learning Compositional Latent Variable Models"

This repository contains code for our paper

**GFlowNet-EM for Learning Compositional Latent Variable Models** <br>
*Edward J. Hu\*, Nikolay Malkin\*, Moksh Jain, Katie Everett, Alexandros Graikos, Yoshua Bengio* <br>
Paper: https://arxiv.org/abs/2302.06576 <br>

We provide code for the three experiment domains studied:
* Illustrative experiment with Gaussian mixtures (`toy_gaussians`),
* Grammar induction (`grammars`),
* Discrete variational autoencoders (`discrete_vae`).

Please visit the individual directories for instructions on reproducing the results.

## Citation

```
@inproceedings{hu2023gflownetem,
title={{GFlowNet-EM} for Learning Compositional Latent Variable Models},
author={Hu, Edward J and Malkin, Nikolay and Jain, Moksh and Everett, Katie and Graikos, Alexandros and Bengio, Yoshua},
booktitle={International Conference on Machine Learning},
year={2023},
url={https://arxiv.org/abs/2302.06576}
}
```
Please contact us or post an issue if you have any questions.

GFlowNet-EM

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