[highd]

One of the most popular ways of using techniques like this is the "Variational Autoencoder". I've been working on using some alternate distributions with them as of late - it's very interesting, and quite powerful.

[nl]

How does this work? You use the VAE to model variables and then somehow get the distribution from them?

Got a link? (I know the basics of VAEs, but I'm missing how to link them to this)

[highd]

The VAE "coder" is modelling a distribution p(z|x), and the decoder is modelling a distribution p(x|z).

I like these slides: https://home.zhaw.ch/~dueo/bbs/files/vae.pdf