1 . For all authors a

Neural Information Processing Systems 

Do the main claims made in the abstract and introduction accurately reflect the paper's Did you state the full set of assumptions of all theoretical results? Did you include complete proofs of all theoretical results? If you ran experiments... (a) Did you include the code, data, and instructions needed to reproduce the main experimental results (either in the supplemental material or as a URL)? [Y es] (b) Did you specify all the training details (e.g., data splits, hyperparameters, how they Did you report error bars (e.g., with respect to the random seed after running experiments multiple times)? Did you include the total amount of compute and the type of resources used (e.g., type Did you include any new assets either in the supplemental material or as a URL? [Y es] Did you discuss whether and how consent was obtained from people whose data you're If you used crowdsourcing or conducted research with human subjects... (a) Did you include the full text of instructions given to participants and screenshots, if applicable? [N/A] Neither crowdsourcing nor research on human subjects was However, compared to the inter-atomic distances in Euclidean space, for which specific knowledge e.g. about bond lengths or interaction length scales exits, this is not the case for the rather abstract space of SPHCs. Different parameters are used for the feature and SPHC updates, respectively.

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