Robust field-level likelihood-free inference with galaxies. - Natalí S. M. de Santi; Helen Shao; Francisco Villaescusa-Navarro; L. Raul Abramo; Romain Teyssier; Pablo Villanueva-Domingo; Yueying Ni; Daniel Anglés-Alcázar; Shy Genel; Elena Hernandez-Martinez; Ulrich P. Steinwandel; Christopher C. Lovell; et al. (CoRR, 2023)

Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects. - Natalí S. M. de Santi; Francisco Villaescusa-Navarro; L. Raul Abramo; Helen Shao; Lucia A. Perez; Tiago Castro; Yueying Ni; Christopher C. Lovell; Elena Hernandez-Martinez; Federico Marinacci; David N. Spergel; Klaus Dolag; et al. (CoRR, 2023)

The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data. - Natália V. N. Rodrigues; L. Raul Abramo; Nina S. T. Hirata (Mach. Learn. Sci. Technol., 2023)