58 citations · 88 across the 2 of their papers we have counts for
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astro-ph.GA2022★ 30 cited
Detecting gravitational lenses using machine learning: exploring interpretability and sensitivity to rare lensing configurations
Joshua Wilde, Stephen Serjeant, Jane M. Bromley +3
Forthcoming large imaging surveys such as Euclid and the Vera Rubin Observatory Legacy Survey of Space and Time are expected to find more than strong gravitational lens syst…
astro-ph.GA2021
Super-resolving Herschel imaging: a proof of concept using Deep Neural Networks
Lynge Lauritsen, Hugh Dickinson, Jane Bromley +4
Wide-field sub-millimetre surveys have driven many major advances in galaxy evolution in the past decade, but without extensive follow-up observations the coarse angular resolution…