Searching For Strong Gravitational Lenses With Machine Learning

We employ self-supervised representation learning to distill information from
76 million galaxy images from the Dark Energy Spectroscopic Instrument (DESI)
Legacy Imaging Surveys’ Data Release 9. Targeting the identification of new
strong gravitational le… Read more

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Causality for Machine Learning

Graphical causal inference as pioneered by Judea Pearl arose from research on artificial intelligence (AI), and for a long time had little connection to the field of machine learning. This article discusses where links have been and should be establishe... (more…)

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