Masked Autoregressive Flows with a Marginalising Flow Framework
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2020-07-31
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en
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Abstract
Invertible deep networks, or normalising flows,
are the focus of an influx of new research in the field of
machine learning. In this paper marginalising flows, which can
be applied on top any normalising flow, will be implemented
over the existing Masked Autoregressive Flow framework.
The performance will be compared between different masked
autoregressive models with and without marginalising flows.
Additionally image generation will be analysed after training
on CIFAR-10.
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Faculteit der Sociale Wetenschappen