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

· 2018

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astro-ph.CO · 2026-03-06 · conditional · novelty 3.0

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.

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Enhancing Gravitational Lens Study with Deep Learning: A Study on Effects of Dropout Regularization astro-ph.CO · 2026-03-06 · conditional · none · ref 60
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.