Thanks you for your great work.
I have been interested in extending the Adaptive GCRN to stochastic models,
so this work is very informative.
Can you please indicate the derivation procedure for Eq. (12) in the following paper,
which represents the lower bound of the marginal likelihood?
https://proceedings.mlr.press/v162/chen22x/chen22x.pdf
If so, I would be able to use this technology with confidence.
I was wondering how to calculate the expectations for the 2 and 3 terms.
Thanks you for your great work.
I have been interested in extending the Adaptive GCRN to stochastic models,
so this work is very informative.
Can you please indicate the derivation procedure for Eq. (12) in the following paper,
which represents the lower bound of the marginal likelihood?
https://proceedings.mlr.press/v162/chen22x/chen22x.pdf
If so, I would be able to use this technology with confidence.
I was wondering how to calculate the expectations for the 2 and 3 terms.