L. Raul Abramo

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 4

Top Topics

Positive Effects

Top Venues

Mach. Learn. Sci. Technol.

Publications

Natália V. N. Rodrigues, L. Raul Abramo, Nina S. T. Hirata
The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data. Mach. Learn. Sci. Technol. 4 (4) (2023)
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, Lars Hernquist, Mark Vogelsberger
Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects. CoRR (2023)
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, Klaus Dolag, Tiago Castro, Mark Vogelsberger
Robust field-level likelihood-free inference with galaxies. CoRR (2023)
Natália V. N. Rodrigues, L. Raul Abramo, Nina S. Hirata
The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data. CoRR (2021)