Kullback-Leibler (KL) divergence

Concept

A term in the VAE loss function that regularizes the encoder's latent distribution to be close to a fixed prior distribution (e.g., standard normal), helping to structure the latent space.

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Videos Mentioning Kullback-Leibler (KL) divergence

Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 4 - Latent Space & Guidance

Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 4 - Latent Space & Guidance

Stanford Online

A term in the VAE loss function that regularizes the encoder's latent distribution to be close to a fixed prior distribution (e.g., standard normal), helping to structure the latent space.