most citedPhotometric redshifts from SDSS images using a Convolutional Neural Network

190 citations · 250 across the 4 of their papers we have counts for

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astro-ph.IM2019★ 50 cited

PELICAN: deeP architecturE for the LIght Curve ANalysis

Johanna Pasquet, Jérôme Pasquet, Marc Chaumont +1

We developed a deeP architecturE for the LIght Curve ANalysis (PELICAN) for the characterization and the classification of light curves. It takes light curves as input, without any…

astro-ph.IM2018★ 190 cited

Photometric redshifts from SDSS images using a Convolutional Neural Network

Johanna Pasquet, Emmanuel Bertin, Marie Treyer +2

We developed a Deep Convolutional Neural Network (CNN), used as a classifier, to estimate photometric redshifts and associated probability distribution functions (PDF) for galaxies…