Concept标准化流

Normalizing Flows

A class of deep generative models that map a simple distribution to a complex one through a series of invertible and differentiable transformations, enabling exact log-likelihood computation and efficient sampling.

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Sep 11

Normalizing flows achieve exact density computation through invertible transformations, while energy-based models implicitly define distributions through unnormalized energy functions.

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Normalizing flows achieve exact density computation through invertible transformations, while energy-based models implicitly define distributions through unnormalized energy functions.

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Source Articles

Hands-On Probabilistic Machine Learning: A Deep Dive into VAE, Self-Supervised Learning, and Reinforcement Learning Core ConceptsSep 11