arXiv · 2311.14412
A Comparison of PDF Projection with Normalizing Flows and SurVAE
Abstract
Normalizing flows (NF) recently gained attention as a way to construct generative networks with exact likelihood calculation out of composable layers. However, NF is restricted to dimension-preserving transformations. Surjection VAE (SurVAE) has been proposed to extend NF to dimension-altering transformations. Such networks are desirable because they are expressive and can be precisely trained. We show that the approaches are a re-invention of PDF projection, which appeared over twenty years earlier and is much further developed.
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Paul M. Baggenstoss, Felix Govaers. 2023-11-24. A Comparison of PDF Projection with Normalizing Flows and SurVAE. https://arxiv.org/abs/2311.14412
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