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Regularizers #114
Regularizers #114
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Mostly for validating that a score network has enough capacity to learn the ground truth.
…ber of sampling steps.
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A minor question to look at. Rest looks good.
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if end_index == 0: | ||
end_time = 0.0 | ||
end_sigma = 0.0 |
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is this correct? I believe sigma(t=0) is sigma_min, not zero.
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considering this is used to compute an "effective" sigma based on start and end sigma, it should not affect the results much.
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Unfortunately, the last two values of sigma_t
are identical in the sigma_array
. If I set end_sigma = sigma_min
, I'll invoke the conditional score method with sigma = 0
, which goes poopoo. To avoid this, I set end_sigma
to zero here. As you noted, it shouldn't really change anything.
I implement a Regularizer class to try to regularize the score. I run and analyze some small experiments in the
experiments
folder.I try various ideas, which are documented in this note: https://www.notion.so/Regularizing-the-Relative-Coordinates-Score-Network-174690083be48092addad80dda88a58b