NeurIPS 2020

Interpretable Sequence Learning for Covid-19 Forecasting

Meta Review

Thanks for your paper submission to NeurIPS. Three knowledgeable reviewers support acceptance, particularly due to the proposed model novelty, performance, interpretability, and relatively good reproducibility. I agree with these strengths and overall paper contribution and must accept. For the final version, please strongly consider enhancing the paper with (1) Code: making the code available will help with further research and reproducibility (2) Related work: it would be a great addition to the paper if the five top-performing models in the experiment section were explained in better detail in the related work section (see R2). (3) Limitations: address R3 feedback regarding acknowledging limitations. Thank you.