Groups
Energy-Based Models (EBMs) define probabilities through an energy landscape: low energy means high probability, with p(x) = exp(-E(x)) / Z.
MCMC simulates a Markov chain whose long-run behavior matches a target distribution, letting us sample from complex posteriors without knowing the normalization constant.