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Percent-level constraints on baryonic feedback with spectral distortion measurements, , , , , , , , , and . (2022)cite arxiv:2201.01663Comment: 10+5 pages, 7 figures.The black hole population in low-mass galaxies in large-scale cosmological simulations, , , , , , , , , and 1 other author(s). (2022)cite arxiv:2201.09888Comment: Submitted to MNRAS, 21 pages, 11 figures, 1 table.Exploring supermassive black hole physics and galaxy quenching across halo mass in FIRE cosmological zoom simulations, , , , , , , , , and . (2022)cite arxiv:2203.06201Comment: 18 pages, 9 figures. Submitted to MNRAS, comments welcome.The CAMELS project: Expanding the galaxy formation model space with new ASTRID and 28-parameter TNG and SIMBA suites., , , , , , , , , and 5 other author(s). CoRR, (2023)Weighing the Milky Way and Andromeda with Artificial Intelligence., , , , , , , , and . CoRR, (2021)Robust field-level inference with dark matter halos., , , , , , , , , and 6 other author(s). CoRR, (2022)Inferring halo masses with Graph Neural Networks., , , , , , , , , and . CoRR, (2021)Running Late: Testing Delayed Supermassive Black Hole Growth Models Against the Quasar Luminosity Function, , , , and . (2021)cite arxiv:2109.14647Comment: 11 pages, 6 figures, submitted to MNRAS.Finding universal relations in subhalo properties with artificial intelligence, , , , , , , , , and . (2021)cite arxiv:2109.04484Comment: 23 pages, 15 figures.Metal flows of the circumgalactic medium, and the metal budget in galactic halos, , , , , , , , , and 1 other author(s). (2016)cite arxiv:1606.09252Comment: 18 Pages, 14 Figures, Submitted to MNRAS, comments welcome.