no code implementations • 12 Nov 2023 • Christina Winkler
Generative normalizing flows are able to model multimodal spatial distributions, and they have been shown to model temporal correlations successfully as well.
1 code implementation • 29 Nov 2019 • Christina Winkler, Daniel Worrall, Emiel Hoogeboom, Max Welling
Normalizing Flows (NFs) are able to model complicated distributions p(y) with strong inter-dimensional correlations and high multimodality by transforming a simple base density p(z) through an invertible neural network under the change of variables formula.