Reviews: Latent Ordinary Differential Equations for Irregularly-Sampled Time Series

Neural Information Processing Systems 

Update after rebuttal: Thank you for your response. The inclusion of some more references, error bars, and hyperparameter details for experiments make the paper stronger. I have raised my score to an 8. Original review: This is a good paper. I have put a score of 7 but I'm happy to raise this to 8 if the authors address point 1 under "notes and questions" below and cite some earlier ODE-adjoint literature. Originality - The combination of RNNs and neural ODEs is novel, as is the combination to form an encoder-decoder model with continuous-time latent state evolution.