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Reconsider the softmax distribution #24

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cheind opened this issue Dec 12, 2021 · 2 comments
Open

Reconsider the softmax distribution #24

cheind opened this issue Dec 12, 2021 · 2 comments

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@cheind
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cheind commented Dec 12, 2021

PixelCNN++ argues that neighboring intensity usually correlate is not captured by the softmax distribution. Instead, they propose a mixture model consisting of the logitic distribution (like normal but with heavier tails).
https://arxiv.org/pdf/1701.05517.pdf

@cheind
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cheind commented Dec 12, 2021

also add bits-per-dim metric that measures how many bits are required to encode pixel intensities.
see E.2 of https://arxiv.org/pdf/1705.07057.pdf
https://uvadlc-notebooks.readthedocs.io/en/latest/tutorial_notebooks/tutorial11/NF_image_modeling.html

@cheind
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cheind commented Dec 13, 2021

See also for how to optimize based on cdf
https://github.com/Rayhane-mamah/Tacotron-2/issues/155

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