39 citations · 55 across the 10 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
astro-ph.CO2021★ 11 cited
Machine learning synthetic spectra for probabilistic redshift estimation: SYTH-Z
Nesar Ramachandra, Jonás Chaves-Montero, Alex Alarcon +3
Photometric redshift estimation algorithms are often based on representative data from observational campaigns. Data-driven methods of this type are subject to a number of potentia…
stat.ME2021
Scalable Statistical Inference of Photometric Redshift via Data Subsampling
Arindam Fadikar, Stefan M. Wild, Jonas Chaves-Montero
Handling big data has largely been a major bottleneck in traditional statistical models. Consequently, when accurate point prediction is the primary target, machine learning models…