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Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects., , , , , , , , , and 4 other author(s). CoRR, (2023)Robust marginalization of baryonic effects for cosmological inference at the field level., , , , , , , , , and 4 other author(s). CoRR, (2021)Finding universal relations in subhalo properties with artificial intelligence, , , , , , , , , and . (2021)cite arxiv:2109.04484Comment: 23 pages, 15 figures.The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence., , , , , , , , , and 18 other author(s). CoRR, (2021)Robust field-level likelihood-free inference with galaxies., , , , , , , , , and 5 other author(s). CoRR, (2023)The CAMELS project: public data release., , , , , , , , , and 37 other author(s). CoRR, (2022)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)Robust field-level inference with dark matter halos., , , , , , , , , and 6 other author(s). CoRR, (2022)