Reviews: Point process latent variable models of larval zebrafish behavior

The authors propose a marked process latent variable model that leverages Gaussian processes for continuous latent sates, a generalized linear model for discrete latent states and an inference network for efficient inference. Results on real data suggest that the proposed approach is interpretable and outperforms standard baselines on held out data. I really enjoyed reading the paper, it is very well written. That being said, the notation is sloppy and lack of details makes it difficult to appreciate the contributions of the paper. The authors seemed to have assumed that the reader is very familiar with point processes, Gaussian processes, variational inference and deep learning.