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Search for CII Emission on Cosmological Scales at Redshift Z~2.6, , , , and . (2017)cite arxiv:1707.06172Comment: 14 pages, 9 figures, to be submitted to MNRAS.From Dark Matter to Galaxies with Convolutional Networks., , , , , , , and . CoRR, (2019)Rediscovering orbital mechanics with machine learning., , , , and . CoRR, (2022)Multiple Physics Pretraining for Physical Surrogate Models., , , , , , , , , and 4 other author(s). CoRR, (2023)Learning to Predict the Cosmological Structure Formation., , , , , , and . CoRR, (2018)Using the Marked Power Spectrum to Detect the Signature of Neutrinos in Large-Scale Structure, , , , and . (2020)cite arxiv:2001.11024Comment: 5 pages, 3 figures.HInet: Generating neutral hydrogen from dark matter with neural networks, , , and . (2020)cite arxiv:2007.10340Comment: 13 pages, 8 figures.The CAMELS project: Cosmology and Astrophysics with MachinE Learning Simulations, , , , , , , , , and 11 other author(s). (2020)cite arxiv:2010.00619Comment: 33 pages, 18 figures, CAMELS webpage at https://www.camel-simulations.org.Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates., , , , and . CoRR, (2019)SimBIG: Field-level Simulation-Based Inference of Galaxy Clustering., , , , , , , , , and 1 other author(s). CoRR, (2023)