miscellaneous-5

Photometric Redshift Estimation

3260 papers • 126 benchmarks • 313 datasets

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Most implemented papers

Conditional density estimation tools in python and R with applications to photometric redshifts and likelihood-free cosmological inference

A. Malz, Niccolò Dalmasso, T. Pospisil, Ann B. Lee, Rafael Izbicki, P. Freeman•Thu Aug 29 2019

The goal of this work is to provide a comprehensive range of statistical tools and open-source software for nonparametric CDE and method assessment which can accommodate different types of settings and be easily fit to the problem at hand.

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Self-supervised Representation Learning for Astronomical Images

G. Stein, Md. Abul Hayat, P. Harrington, Z. Luki'c, Mustafa A. Mustafa•Wed Dec 23 2020

It is shown that, without the need for labels, self-supervised learning recovers representations of sky survey images that are semantically useful for a variety of scientific tasks and can be directly used as features, or fine-tuned, to outperform supervised methods trained only on labeled data.

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