Woodbury Transformations for Deep Generative Flows

27 Feb 2020You LuBert Huang

Normalizing flows are deep generative models that allow efficient likelihood calculation and sampling. The core requirement for this advantage is that they are constructed using functions that can be efficiently inverted and for which the determinant of the function's Jacobian can be efficiently computed... (read more)

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