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You can derive the latter information (the joint distribution), given the former and a prior over "all pixels"-like data. So, the defining feature of "generati

You can derive the latter information (the joint distribution), given the former and a prior over "all pixels"-like data. So, the defining feature of "generative" models is that they feature a prior over their input data?

currymj 2y ago
Yes, though maybe not explicitly written down.
Nimitz14 2y ago
Generative models model the data, whether that is p(x) or p(x,y) or (x,y,z) etc.