An energy-based model with a sufficiently expressive energy function can represent essentially arbitrary densities and defer density normalization to sampling time.

“It uses the property that you can learn basically arbitrary densities, assuming your energy function is kind of rich enough that I can approximate the like energy at least, then you can effectively just pawn off the problem of normalizing density to later, to to sampling time.”