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Towards Machine Learning-Based Meta-Studies: Applications to Cosmological Parameters

, , , , , , , , , , and . (2021)cite arxiv:2107.00665Comment: 23 pages, 14 figures. Submitted to Monthly Notices of the Royal Astronomical Society. Astronomical measurement database available at http://numericalatlas.cs.ucl.ac.uk/.

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Compressing the cosmological information in one-dimensional correlations of the Lyman-$\alpha$ forest, , and . (2022)cite arxiv:2209.09895Comment: Submitted to ApJ. 17 pages, 7 figures.EDGE: The origin of scatter in ultra-faint dwarf stellar masses and surface brightnesses, , , , , , and . (2019)cite arxiv:1909.04664Comment: 5 pages, submitted to ApJL.An emulator for the Lyman-$\alpha$ forest in beyond-$Łambda$CDM cosmologies, , , , , , and . (2020)cite arxiv:2011.15127Comment: 26 pages, 11 figures.Towards Machine Learning-Based Meta-Studies: Applications to Cosmological Parameters, , , , , , , , , and 1 other author(s). (2021)cite arxiv:2107.00665Comment: 23 pages, 14 figures. Submitted to Monthly Notices of the Royal Astronomical Society. Astronomical measurement database available at http://numericalatlas.cs.ucl.ac.uk/.Massive neutrinos and degeneracies in Lyman-alpha forest simulations, , , , , , , and . (2019)cite arxiv:1911.09596Comment: 18 pages, 7 figures.More accurate simulations with separate initial conditions for baryons and dark matter, , , and . (2020)cite arxiv:2002.00015Comment: 16 pages, 5 figures.Learnable wavelet neural networks for cosmological inference, , and . (2023)cite arxiv:2307.14362Comment: Accepted at ICML 2022 Workshop on Machine Learning for Astrophysics, Baltimore, Maryland, USA, 2022.Multi-scale decomposition of sea surface height snapshots using machine learning., , , , and . CoRR, (2024)Supercontinuum Applications in High Resolution Non-Invasive Optical Imaging., , , , , , , , , and 15 other author(s). ICTON, page 1. IEEE, (2019)Robust Fir Filters for Wireless Low-Frequency Sound Zones., , , and . ICASSP, page 1-5. IEEE, (2023)