Masked autoregressive flow (MAF)
Masked autoregressive flow (MAF) is a type of normalizing flow used in machine learning for density estimation and generative modeling. It employs autoregressive models combined with masking techniques to create flexible, invertible transformations that allow efficient sampling and likelihood evaluation.