3 papers
astro-ph.IM2026
Semi-Supervised Learning for Lensed Quasar Detection
David Sweeney, Alberto Krone-Martins, Daniel Stern +7
Lensed quasars are key to many areas of study in astronomy, offering a unique probe into the intermediate and far universe. However, finding lensed quasars has proved difficult des…
cs.LG2025
Emergence of Computational Structure in a Neural Network Physics Simulator
Rohan Hitchcock, Gary W. Delaney, Jonathan H. Manton +2
Neural networks often have identifiable computational structures - components of the network which perform an interpretable algorithm or task - but the mechanisms by which these em…
astro-ph.GA2024
Observing the Galactic Underworld: Predicting photometry and astrometry from compact remnant microlensing events
David Sweeney, Peter Tuthill, Alberto Krone-Martins +3
Isolated black holes (BHs) and neutron stars (NSs) are largely undetectable across the electromagnetic spectrum. For this reason, our only real prospect of observing these isolated…