Sampling from an energy-based model requires complex Markov chain Monte Carlo optimization to draw states according to the unnormalized energy without a normalization constant.

“Its energies are unnormalized, we need to perform complex Markov chain Monte Carlo optimization to sample states proportionally to the energy without having access to a normalization constant.”