Energy-Based Models: Why an Unnormalised Density Can Still Define a Distribution
A probability density is usually introduced as a function that integrates to one. That normalisation condition feels non-negotiable: if the total probability is not one, the numbers are not probabilities. Energy-based models deliberately break that habit. They define a distribution through an unnor…
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- 2026-10-28 20:14 · DEV Community — Machine Learning
Energy-Based Models: Why an Unnormalised Density Can Still Define a Distribution