• Building Trustworthy Machine Learning Models for Astronomy – on November 29, 2021 at 6:50 am

    Astronomy is entering an era of data-driven discovery, due in part to modern machine learning (ML) techniques enabling powerful new ways to interpret observations. This shift in our scientific approach


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  • Machine learning synthetic spectra for probabilistic redshift estimation: SYTH-Z – on November 23, 2021 at 11:25 am

    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 potential deficiencies, such as sample bias


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  • Machine learning synthetic spectra for probabilistic redshift estimation: SYTH-Z – on November 23, 2021 at 11:25 am

    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 potential deficiencies, such as sample bias


    Read More