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Flow-based generative model

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 0 By others on same topic  0 Discussions  1970-01-01  See my version
Flow-based generative models are a class of probabilistic models that utilize invertible transformations to model complex distributions. These models are designed to generate new data samples from a learned distribution by applying a sequence of transformations to a simple base distribution, typically a multivariate Gaussian.

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