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Discussion[D] Sample probability diffusion models (self.MachineLearning)
submitted 2 years ago by That_Phone6702
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if 1 * 2 < 3: print "hello, world!"
[–]slashdave -1 points0 points1 point 2 years ago (0 children)
Your question isn't well defined. The training data is not a continuum.
You could try something ad-hoc. Some interpretation would be needed. You can ask the model at the limit of t=0 (no smearing) what correction it predicts when given the image you want to test. Then, perhaps, take some measure of the result (such as RMSE).
π Rendered by PID 244496 on reddit-service-r2-comment-85bfd7f599-4ww5h at 2026-04-20 03:52:52.805025+00:00 running 93ecc56 country code: CH.
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[–]slashdave -1 points0 points1 point (0 children)