Score Matching: Why Learning the Gradient of a Log-Density Beats Learning the Density Itself
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Score Matching: Why Learning the Gradient of a Log-Density Beats Learning the Density Itself Most generative models try to learn a probability density. That sounds like the obvious goal, but it hides an awkward obstacle: the normalising constant. Score matching sidesteps it entirely by learning a d…
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- 2026-10-26 13:41 · DEV Community — Machine Learning
Score Matching: Why Learning the Gradient of a Log-Density Beats Learning the Density Itself