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Machine Learning and the future of Supernova Cosmology

Machine Learning and the future of Supernova Cosmology

Nature Astronomy (Nat. Astron.), 2019
6 August 2019
E. Ishida
ArXiv (abs)PDFHTML

Papers citing "Machine Learning and the future of Supernova Cosmology"

3 / 3 papers shown
Title
Explainable classification of astronomical uncertain time series
Explainable classification of astronomical uncertain time series
Michael Franklin Mbouopda
E. Ishida
E. M. Nguifo
E. Gangler
AI4TS
137
0
0
28 Sep 2022
Neural Networks Optimized by Genetic Algorithms in Cosmology
Neural Networks Optimized by Genetic Algorithms in Cosmology
Isidro Gómez-Vargas
Joshua Briones Andrade
J. A. Vázquez
151
18
0
06 Sep 2022
Active learning with RESSPECT: Resource allocation for extragalactic
  astronomical transients
Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients
Noble Kennamer
E. Ishida
S. González-Gaitán
R. S. de Souza
Alexander Ihler
...
A. Krone-Martins
B. Quint
S. Sreejith
A. Malz
L. Galbany
82
5
0
12 Oct 2020
1