generative adder cell networks are able to work from a theoretical point of view and now I'll move on to a few tips and tricks that should help you to make them work better in your own practical applied work the first really big tip is that labels turn out to really improve the subjective sample quality a lot as far as I know this is first observed by Emily Denton and her collaborators at NYU and Facebook AI research where they showed the bakwin generative Evaristo networks didn't work very well at all you could actually get them to work