> GAN's are a conceptual advance of generative models (i.e. models that can generate more, similar data).
This is something I've long had confusion with, coming from a probabilistic perspective.
How does a GAN model the joint probability of the data? My understanding was that was what a generative model does. There doesn't seem to be a clear probabilistic interpretation of a GAN whatsoever.
This is something I've long had confusion with, coming from a probabilistic perspective.
How does a GAN model the joint probability of the data? My understanding was that was what a generative model does. There doesn't seem to be a clear probabilistic interpretation of a GAN whatsoever.