11 citations · 11 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Nonlinear wavefront reconstruction from a pyramid sensor using neural networks
Alison P. Wong, Barnaby R. M. Norris, Vincent Deo +7
The pyramid wavefront sensor (PyWFS) has become increasingly popular to use in adaptive optics (AO) systems due to its high sensitivity. The main drawback of the PyWFS is that it i…