How does Naïve Bayes compare to energy-based models in probabilistic interpretation?

Naïve Bayes uses explicit probability modeling, while energy-based models define unnormalized scores over configurations.

Naïve Bayes defines normalized probabilities P(X,Y), whereas energy-based models define an energy function E(X,Y) and derive probabilities via normalization. NB is tractable and interpretable, while energy-based models are more expressive but require expensive partition function estimation.