Inference in Variational Autoencoders with Different Monte Carlo Sample Sizes (Addendum)

Louis Tiao

Draft

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This is a short addendum to a previous post that demonstrates how to perform Inference in Variational Autoencoders with Different Monte Carlo Sample Sizes using the basic modular framework we developed in an earlier post.

The negative evidence lower bound (ELBO) plotted after each training epoch for various combinations of batch and Monte Carlo sample sizes.

Appendix

Please find the accompanying Jupyter Notebook used to generate the diagrams and plots in this post here.