36 citations · 154 across the 13 of their papers we have counts for
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astro-ph.CO2022★ 34 cited
Sensitivity of strong lensing observations to dark matter substructure: a case study with Euclid
Conor M. O'Riordan, Giulia Despali, Simona Vegetti +2
We introduce a machine learning method for estimating the sensitivity of strong lens observations to dark matter subhaloes in the lens. Our training data include elliptical power-l…
astro-ph.GA2022★ 16 cited
Realistic galaxy images and improved robustness in machine learning tasks from generative modelling
Benjamin J. Holzschuh, Conor M. O'Riordan, Simona Vegetti +2
We examine the capability of generative models to produce realistic galaxy images. We show that mixing generated data with the original data improves the robustness in downstream m…