L2 Regression
Concept
A type of statistical loss function used in DDPM to minimize the squared difference between predicted and actual noise, and in score matching for score approximation.
Mentioned in 2 videos
Save the 2 videos on L2 Regression to your own pod.
Sign up free to keep building your knowledge base on L2 Regression as more episodes are added.
Videos Mentioning L2 Regression
Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 2 - Score matching
Stanford Online
A type of statistical loss function used in DDPM to minimize the squared difference between predicted and actual noise, and in score matching for score approximation.
Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 3 - Flow matching
Stanford Online
A type of loss function used in both DDPM and score matching, effectively measuring the squared difference between predicted and actual values (e.g., noise or score).