NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:2760
Title:Deep imitation learning for molecular inverse problems

The paper studies a problem of predicting the molecular structured given its NMR spectrum and the molecular formula, through deep imitation learning. The reviewers find the topic important for cheminformatics and the proposed method relevant and potentially impactful. The write-up of the paper should be improved.