56 citations · 150 across the 8 of their papers we have counts for
Showing astro-ph.IMShow all
2 papers · 1 filter
astro-ph.IM2025★ 3 cited
Learning novel representations of variable sources from multi-modal data via autoencoders
P. Huijse, J. De Ridder, L. Eyer +18
Gaia Data Release 3 (DR3) published for the first time epoch photometry, BP/RP (XP) low-resolution mean spectra, and supervised classification results for millions of variable sour…
astro-ph.IM2022★ 56 cited
Gaia Data Release 3: Cross-match of Gaia sources with variable objects from the literature
P. Gavras, L. Rimoldini, K. Nienartowicz +22
Context. In the current ever increasing data volumes of astronomical surveys, automated methods are essential. Objects of known classes from the literature are necessary for traini…