162 citations · 262 across the 7 of their papers we have counts for
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astro-ph.IM2017★ 162 cited
Photometric redshift estimation via deep learning
Antonio D'Isanto, Kai Lars Polsterer
The need to analyze the available large synoptic multi-band surveys drives the development of new data-analysis methods. Photometric redshift estimation is one field of application…
astro-ph.IM2017
Uncertain Photometric Redshifts with Deep Learning Methods
Antonio D'Isanto
The need for accurate photometric redshifts estimation is a topic that has fundamental importance in Astronomy, due to the necessity of efficiently obtaining redshift information w…