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On the Three-Dimensional Structure of Local Molecular Clouds, , , , , , , , , and 2 other author(s). (2021)cite arxiv:2109.09765Comment: Published in ApJ. For data behind the figures are available https://dataverse.harvard.edu/dataverse/3D_cloud_structure. For interactive 3D gallery of local clouds are available https://faun.rc.fas.harvard.edu/czucker/Paper_Figures/3D_Cloud_Topologies/gallery.html.Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers., , , , , , , , , and 12 other author(s). CoRR, (2023)The emptiness inside: Finding gaps, valleys, and lacunae with geometric data analysis, , , , and . (2022)cite arxiv:2201.10674Comment: 16 pages, 10 figures. Submitted to AJ. Comments welcomed.Predicting galaxy spectra from images with hybrid convolutional neural networks., and . CoRR, (2020)Robust Archives Maximize Scientific Accessibility., , , , , , , , and . CoRR, (2019)Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era., , , , , , , , , and 28 other author(s). CoRR, (2019)A Model for Data Citation in Astronomical Research using Digital Object Identifiers (DOIs)., , , , , and . CoRR, (2018)DeepMerge: Classifying High-redshift Merging Galaxies with Deep Neural Networks., , , and . CoRR, (2020)