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SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows
scientific article published in November 2020
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instance of
scholarly article
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title
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows
(English)
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main subject
variational auto-encoder
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author
Max Welling
series ordinal
5
object named as
Max Welling
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Ole Winther
series ordinal
4
object named as
Ole Winther
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author name string
Didrik Nielsen
series ordinal
1
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Priyank Jaini
series ordinal
2
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Emiel Hoogeboom
series ordinal
3
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language of work or name
English
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publication date
November 2020
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number of pages
12
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official website
https://proceedings.neurips.cc/paper/2020/hash/9578a63fbe545bd82cc5bbe749636af1-Abstract.html
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full work available at URL
https://proceedings.neurips.cc/paper/2020/file/9578a63fbe545bd82cc5bbe749636af1-Paper.pdf
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published in
Advances in Neural Information Processing Systems 33
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describes a project that uses
CIFAR-10
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cites work
Augmented Neural ODEs
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Neural Spline Flows
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Integer Discrete Flows and Lossless Compression
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Glow: Generative Flow with Invertible 1x1 Convolutions
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Masked Autoregressive Flow for Density Estimation
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PyTorch: An Imperative Style, High-Performance Deep Learning Library
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Probabilistic Principal Component Analysis
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Discrete Flows: Invertible Generative Models of Discrete Data
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RNADE: The real-valued neural autoregressive density-estimator
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Stochastic Normalizing Flows
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