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Code for "Is Simple Better?: Revisiting Simple Generative Models for Unsupervised Clustering" - Bayesian Deep Learning Workshop (NIPS 2017)

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Is Simple Better?: Revisiting Simple Generative Models for Unsupervised Clustering

This project is a torch implementation of our Bayesian Deep Learning Workshop (NIPS 2017) paper.

Code

The source code is being shared in the following repository simple-vae-clustering.

Citation

If you find our code useful in your researches, please consider citing:

@inproceedings{AriasFigueroa2017,
 author = {Arias Figueroa, Jhosimar and Ram\'irez Rivera, A.},
 title = {Is Simple Better?: Revisiting Simple Generative Models for Unsupervised Clustering},
 booktitle = {Second workshop on Bayesian Deep Learning (NIPS 2017)},
 year = {2017}
}

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Code for "Is Simple Better?: Revisiting Simple Generative Models for Unsupervised Clustering" - Bayesian Deep Learning Workshop (NIPS 2017)

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