TzK: Flow-Based Conditional Generative Model

5 Feb 2019 Micha Livne David Fleet

We formulate a new class of conditional generative models based on probability flows. Trained with maximum likelihood, it provides efficient inference and sampling from class-conditionals or the joint distribution, and does not require a priori knowledge of the number of classes or the relationships between classes... (read more)

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