Dropout in an AlexNet-based CNN raises R² to ~0.96 and reduces SIE parameter errors by 60-76% on simulated galaxy-galaxy lens images.
Stone, Journal of the Royal Statistical Society: Series B (Methodological)36, 111 (2018), https://academic.oup.com/jrsssb/article-pdf/36/2/111/49096683/jrsssb 36 2 111.pdf
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Enhancing Gravitational Lens Study with Deep Learning: A Study on Effects of Dropout Regularization
Dropout in an AlexNet-based CNN raises R² to ~0.96 and reduces SIE parameter errors by 60-76% on simulated galaxy-galaxy lens images.