161 citations · 176 across the 5 of their papers we have counts for
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astro-ph.CO2023★ 5 cited
Improving Photometric Redshift Estimation for Cosmology with LSST using Bayesian Neural Networks
Evan Jones, Tuan Do, Bernie Boscoe +3
We present results exploring the role that probabilistic deep learning models can play in cosmology from large-scale astronomical surveys through photometric redshift (photo-z) est…
astro-ph.CO2021★ 8 cited
Machine Learning Classification to Identify Catastrophic Outlier Photometric Redshift Estimates
J. Singal, G. Silverman, E. Jones +3
We present results of using a basic binary classification neural network model to identify likely catastrophic outlier photometric redshift estimates of individual galaxies, based…