30 citations · 50 across the 3 of their papers we have counts for
3 papers
The impact of human expert visual inspection on the discovery of strong gravitational lenses
Karina Rojas, Thomas E. Collett, Daniel Ballard +53
We investigate the ability of human 'expert' classifiers to identify strong gravitational lens candidates in Dark Energy Survey like imaging. We recruited a total of 55 people that…
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…
The Limits to Learning a Diffusion Model
Jackie Baek, Vivek F. Farias, Andreea Georgescu +5
This paper provides the first sample complexity lower bounds for the estimation of simple diffusion models, including the Bass model (used in modeling consumer adoption) and the SI…