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dimsycamore t1_j178fqp wrote

I would recommend using all of the replicates. The model should learn the expectation sans any mean-zero noise that might vary between them. Basing this on a hand wavy interpretation of some results from the original noise2noise paper and more recent work on SSL. You can even consider each replicate an "augmentation" of your ground truth mean and use principles of SSL to enforce consistency between the replicates.

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Eresbonitaguey t1_j179g29 wrote

Agreed. It’s pretty common to augment your data so that you have n different inputs based on a the same original input. As long as these augmented values aren’t present in your test set then you should be fine.

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