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HInet: Generating neutral hydrogen from dark matter with neural networks

, , , и . (2020)cite arxiv:2007.10340Comment: 13 pages, 8 figures.

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Shirley Brückner

Shirley Atkinson

Shirley Schäfer

Shirley Williams

Shirley Knauer

 

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Search for CII Emission on Cosmological Scales at Redshift Z~2.6, , , , и . (2017)cite arxiv:1707.06172Comment: 14 pages, 9 figures, to be submitted to MNRAS.Multiple Physics Pretraining for Physical Surrogate Models., , , , , , , , , и 4 other автор(ы). CoRR, (2023)$Mangrove$: Learning Galaxy Properties from Merger Trees, , , , , и . (2022)cite arxiv:2210.13473Comment: 15 pages, 9 figures, 3 tables, 10 pages of Appendices. Accepted for publication in ApJ.HIGAN: Cosmic Neutral Hydrogen with Generative Adversarial Networks., , , , , , , и . CoRR, (2019)MApping the Most Massive Overdensities Through Hydrogen (MAMMOTH) I: Methodology, , , , , , , , , и 1 other автор(ы). (2015)cite arxiv:1512.06859Comment: 24 pages, 30 figures, 8 tables, submitted to the Astrophysical Journal.Detecting Damped Lyman-$\alpha$ Absorbers with Gaussian Processes, , , и . (2016)cite arxiv:1605.04460.The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: Baryon Acoustic Oscillations in the Data Release 10 and 11 galaxy samples, , , , , , , , , и 55 other автор(ы). (2013)cite arxiv:1312.4877Comment: 40 pages, 29 figures.Robust simulation-based inference in cosmology with Bayesian neural networks., , , , , , , и . Mach. Learn. Sci. Technol., 4 (1): 01 (марта 2023)Learned Simulators for Turbulence., , , , , , , , , и . ICLR, OpenReview.net, (2022)Optimal Ridge Detection using Coverage Risk., , , и . NIPS, стр. 316-324. (2015)