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Thanks! Yes, if same parameters otherwise and comparing at the same snapshot in time, that is possible. |
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Hi, thanks for the great paper! I had a quick question about the interpretation of the InfoNCE loss as a goodness of fit metric. I understand that the paper discusses how the InfoNCE can be used to compare models with different auxiliary behavioral variables as the supervisory signal (in the hypothesis-driven mode). However, can I also compare the InfoNCE loss between a CEBRA-Behavior and CEBRA-Time models? Specifically, I am interested in answering the question, does the behavior auxiliary variable improve the embedding compare to a time-only model. Thanks!
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