GLOSSARY TERM
What is Normalizing Flows?
A family of generative models constructing complex distributions from simple ones.
Normalizing flows apply a sequence of invertible, differentiable transformations to a simple base distribution. Because the mappings are bijective, exact log-likelihood evaluation is possible, making them mathematically elegant generative frameworks.
Advanced Generative Modeling
Leverage invertible neural networks directly within the M1 infrastructure.