The Living Thing / Notebooks :

Reading group – Wasserstein GANs

The Wasserstein GAN paper made enough of a splash that it’s worth considering separately from the other GAN stuff. Is it even “adversarial”? That looks marginal to me.

Today I’m leading a reading group to the theme what even is is the Wasserstein GAN?

GANs are famous for generating images, but I am interested in their use in simulating from difficult distributions in general.

I will not summarize WGANs better than the following handy sources, so these are the basis for the tutorial until such time as I find myself actually using this stuff in my own work.