In regards to the case of epsilon extrapolation: classifier-free diffusion guidance, the standard scaled discrete derivatives is known to be one that is computed using a numerical method and it is due to an appropriately fitted piecewise kind of uniform mesh.
What is classifier guidance?
Classifier guidance is known to be a very new or recently developed method that is often used in order to trade off any kind of mode coverage and sample fidelity in regards to conditional diffusion models that is often used in post training.
Note that there are a lot of strategies to boast the EM algorithm such as the use of the extrapolation methods. They are known to be a very easy to implement.
Therefore, In regards to the case of epsilon extrapolation: classifier-free diffusion guidance, the standard scaled discrete derivatives is known to be one that is computed using a numerical method and it is due to an appropriately fitted piecewise kind of uniform mesh.
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