Multifield Cosmology with Artificial Intelligence. - Francisco Villaescusa-Navarro; Daniel Anglés-Alcázar; Shy Genel; David N. Spergel; Yin Li 009; Benjamin D. Wandelt; Andrina Nicola; Leander Thiele; Sultan Hassan; José Manuel Zorrilla Matilla; Desika Narayanan; Romeel Dave; et al. (CoRR, 2021)

Robust marginalization of baryonic effects for cosmological inference at the field level. - Francisco Villaescusa-Navarro; Shy Genel; Daniel Angles-Alcazar; David N. Spergel; Yin Li 009; Benjamin D. Wandelt; Leander Thiele; Andrina Nicola; José Manuel Zorrilla Matilla; Helen Shao; Sultan Hassan; Desika Narayanan; et al. (CoRR, 2021)

The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence. - Francisco Villaescusa-Navarro; Shy Genel; Daniel Angles-Alcazar; Leander Thiele; Romeel Dave; Desika Narayanan; Andrina Nicola; Yin Li 009; Pablo Villanueva-Domingo; Benjamin D. Wandelt; David N. Spergel; Rachel S. Somerville; et al. (CoRR, 2021)

Inferring halo masses with Graph Neural Networks. - Pablo Villanueva-Domingo; Francisco Villaescusa-Navarro; Daniel Anglés-Alcázar; Shy Genel; Federico Marinacci; David N. Spergel; Lars Hernquist; Mark Vogelsberger; Romeel Dave; Desika Narayanan (CoRR, 2021)

The CAMELS project: public data release. - Francisco Villaescusa-Navarro; Shy Genel; Daniel Anglés-Alcázar; Lucia A. Perez; Pablo Villanueva-Domingo; Digvijay Wadekar; Helen Shao; Faizan G. Mohammad; Sultan Hassan; Emily Moser; Erwin T. Lau; Luis Fernando Machado Poletti Valle; et al. (CoRR, 2022)

Physics-informed neural networks in the recreation of hydrodynamic simulations from dark matter. - Zhenyu Dai; Ben Moews; Ricardo Vilalta; Romeel Dave (CoRR, 2023)

The CAMELS project: Expanding the galaxy formation model space with new ASTRID and 28-parameter TNG and SIMBA suites. - Yueying Ni; Shy Genel; Daniel Anglés-Alcázar; Francisco Villaescusa-Navarro; Yongseok Jo; Simeon Bird; Tiziana di Matteo; Rupert A. C. Croft; Nianyi Chen; Natalí S. M. de Santi; Matthew Gebhardt; Helen Shao; et al. (CoRR, 2023)