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Unsupervised Resource Allocation with Graph Neural Networks., , and . CoRR, (2021)Deep learning insights into cosmological structure formation., , , , and . CoRR, (2020)Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era., , , , , , , , , and 28 other author(s). CoRR, (2019)Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets., , , , and . CoRR, (2023)SPOKES: An end-to-end simulation facility for spectroscopic cosmological surveys., , , , , , , , , and 8 other author(s). Astron. Comput., (2016)Machine Learning and Cosmology, , , , , , , , , and 1 other author(s). (2022)cite arxiv:2203.08056Comment: Contribution to Snowmass 2021. 32 pages.Ten simple rules to cultivate transdisciplinary collaboration in data science., , , , , , , , , and 23 other author(s). PLoS Comput. Biol., (2021)Deeply uncertain: comparing methods of uncertainty quantification in deep learning algorithms., and . Mach. Learn. Sci. Technol., 2 (1): 15002 (2021)Domain adaptation techniques for improved cross-domain study of galaxy mergers., , , , , , , and . CoRR, (2020)DeepCMB: Lensing Reconstruction of the Cosmic Microwave Background with Deep Neural Networks., , , , , and . CoRR, (2018)