The CAMELS Project: Expanding the Galaxy Formation Model Space with New ASTRID and 28-parameter TNG and SIMBA Suites von Ni, Yueying, Genel, Shy, Anglés-Alcázar, Daniel, Villaescusa-Navarro, Francisco, Jo, Yongseok, Bird, Simeon, Di Matteo, Tiziana, Croft, Rupert, Chen, Nianyi, de Santi, Natalí S. M., Gebhardt, Matthew, Shao, Helen, Pandey, Shivam, Hernquist, Lars, Dave, Romeel

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Robust Field-level Likelihood-free Inference with Galaxies von de Santi, Natalí S. M., Shao, Helen, Villaescusa-Navarro, Francisco, Abramo, L. Raul, Teyssier, Romain, Villanueva-Domingo, Pablo, Ni, Yueying, Anglés-Alcázar, Daniel, Genel, Shy, Hernández-Martínez, Elena, Steinwandel, Ulrich P., Lovell, Christopher C., Dolag, Klaus, Castro, Tiago, Vogelsberger, Mark

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Mimicking the halo–galaxy connection using machine learning von de Santi, Natalí S M, Rodrigues, Natália V N, Montero-Dorta, Antonio D, Abramo, L Raul, Tucci, Beatriz, Artale, M Celeste

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High-fidelity reproduction of central galaxy joint distributions with neural networks von Rodrigues, Natália V N, de Santi, Natalí S M, Montero-Dorta, Antonio D, Abramo, L Raul

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A Universal Equation to Predict Ωm from Halo and Galaxy Catalogs von Shao, Helen, de Santi, Natalí S. M., Villaescusa-Navarro, Francisco, Teyssier, Romain, Ni, Yueying, Anglés-Alcázar, Daniel, Genel, Shy, Steinwandel, Ulrich P., Hernández-Martínez, Elena, Dolag, Klaus, Lovell, Christopher C., Garrison, Lehman H., Visbal, Eli, Kulkarni, Mihir, Hernquist, Lars, Castro, Tiago, Vogelsberger, Mark

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Improving cosmological covariance matrices with machine learning von de Santi, Natalí S.M., Abramo, L. Raul

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