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2020 – today
- 2023
[j1]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): 45019 (2023)- [i3]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 abs/2302.14101 (2023) - [i2]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 abs/2310.15234 (2023) - 2021
- [i1]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. CoRR abs/2108.04742 (2021)
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