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The CAMELS project: public data release., , , , , , , , , и 37 other автор(ы). CoRR, (2022)SimBIG: Field-level Simulation-Based Inference of Galaxy Clustering., , , , , , , , , и 1 other автор(ы). CoRR, (2023)The Quijote simulations, , , , , , , , , и 17 other автор(ы). (2019)cite arxiv:1909.05273Comment: 19 pages, 15 figures. Simulations publicly available at https://github.com/franciscovillaescusa/Quijote-simulations.Learning neutrino effects in Cosmology with Convolutional Neural Networks., , , , , и . CoRR, (2019)Exposing Disparities in Flood Adaptation for Equitable Future Interventions., и . CoRR, (2023)Robust Simulation-Based Inference in Cosmology with Bayesian Neural Networks., , , , , , , и . CoRR, (2022)Constraining $M_\nu$ with the Bispectrum II: The Total Information Content of the Galaxy Bispectrum, и . (2020)cite arxiv:2012.02200Comment: 24 pages, 4 figures, the Molino catalog is publicly available at https://changhoonhahn.github.io/molino/.Robust simulation-based inference in cosmology with Bayesian neural networks., , , , , , , и . Mach. Learn. Sci. Technol., 4 (1): 01 (марта 2023)