1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Intrinsic Dimension Estimation for Radio Galaxy Zoo using Diffusion Models
Joan Font-Quer Roset, Devina Mohan, Anna Scaife
In this work, we estimate the intrinsic dimension (iD) of the Radio Galaxy Zoo (RGZ) dataset using a score-based diffusion model. We examine how the iD estimates vary as a function…
astro-ph.IM2024★ 1 cited
E(2)-Equivariant Features in Machine Learning for Morphological Classification of Radio Galaxies
Natalie E. P. Lines, Joan Font-Quer Roset, Anna M. M. Scaife
With the growth of data from new radio telescope facilities, machine-learning approaches to the morphological classification of radio galaxies are increasingly being utilised. Howe…