1 code implementation • 26 Oct 2022 • Micah Bowles, Hongming Tang, Eleni Vardoulaki, Emma L. Alexander, Yan Luo, Lawrence Rudnick, Mike Walmsley, Fiona Porter, Anna M. M. Scaife, Inigo Val Slijepcevic, Gary Segal
We define deriving semantic class targets as a novel multi-modal task.
1 code implementation • 4 Jan 2022 • Devina Mohan, Anna M. M. Scaife, Fiona Porter, Mike Walmsley, Micah Bowles
In this work we use variational inference to quantify the degree of uncertainty in deep learning model predictions of radio galaxy classification.
2 code implementations • 16 Feb 2021 • Anna M. M. Scaife, Fiona Porter
Weight sharing in convolutional neural networks (CNNs) ensures that their feature maps will be translation-equivariant.
Instrumentation and Methods for Astrophysics Astrophysics of Galaxies
1 code implementation • 1 Feb 2021 • David J. Bastien, Anna M. M. Scaife, Hongming Tang, Micah Bowles, Fiona Porter
We present a model for generating postage stamp images of synthetic Fanaroff-Riley Class I and Class II radio galaxies suitable for use in simulations of future radio surveys such as those being developed for the Square Kilometre Array.
Data Augmentation Variational Inference Instrumentation and Methods for Astrophysics Astrophysics of Galaxies
2 code implementations • 2 Dec 2020 • Micah Bowles, Anna M. M. Scaife, Fiona Porter, Hongming Tang, David J. Bastien
In this work we introduce attention as a state of the art mechanism for classification of radio galaxies using convolutional neural networks.