Masked Autoregressive Flows with a Marginalising Flow Framework
Keywords
Loading...
Authors
Issue Date
2020-07-31
Language
en
Journal Title
Journal ISSN
Volume Title
Publisher
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.
Description
Citation
Supervisor
Faculty
Faculteit der Sociale Wetenschappen