Anna M. M. Scaife

According to our database, Anna M. M. Scaife authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Evaluating Bayesian deep learning for radio galaxy classification.

Devina Mohan, Anna M. M. Scaife

CoRR, 2024

Scaling Laws for Galaxy Images.

Mike Walmsley, Micah Bowles, Anna M. M. Scaife, Jason Shingirai Makechemu, Alexander J. Gordon, Annette M. N. Ferguson, Robert G. Mann, James Pearson, Jürgen J. Popp, Jo Bovy, Joshua S. Speagle, Hugh Dickinson, Lucy Fortson, Tobias Géron, Sandor Kruk, Chris J. Lintott, Kameswara Bharadwaj Mantha, Devina Mohan, David O'Ryan, Inigo V. Slijepcevic

CoRR, 2024

2023

Zoobot: Adaptable Deep Learning Models for Galaxy Morphology.

Mike Walmsley, Campbell Allen, Ben Aussel, Micah Bowles, Kasia Gregorowicz, Inigo Val Slijepcevic, Chris J. Lintott, Anna M. M. Scaife, Maja Jablonska, Kosio Karchev, Denise Lanzieri, Devina Mohan, David O'Ryan, Bharath Saiguhan, Crisel Suárez, Nicolás Guerra-Varas, Renuka Velu

J. Open Source Softw., July, 2023

Rare Galaxy Classes Identified In Foundation Model Representations.

Mike Walmsley, Anna M. M. Scaife

CoRR, 2023

Bayesian Imaging for Radio Interferometry with Score-Based Priors.

Noe Dia, M. J. Yantovski-Barth, Alexandre Adam, Micah Bowles, Pablo Lemos, Anna M. M. Scaife, Yashar Hezaveh, Laurence Perreault Levasseur

CoRR, 2023

MiraBest: A Dataset of Morphologically Classified Radio Galaxies for Machine Learning.

Fiona A. M. Porter, Anna M. M. Scaife

CoRR, 2023

2022

A New Task: Deriving Semantic Class Targets for the Physical Sciences.

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

CoRR, 2022

Towards Galaxy Foundation Models with Hybrid Contrastive Learning.

Mike Walmsley, Inigo Val Slijepcevic, Micah Bowles, Anna M. M. Scaife

CoRR, 2022

Radio Galaxy Zoo: Using semi-supervised learning to leverage large unlabelled data-sets for radio galaxy classification under data-set shift.

Inigo V. Slijepcevic, Anna M. M. Scaife, Mike Walmsley, Micah Bowles, Ivy Wong, Stanislav S. Shabala, Hongming Tang

CoRR, 2022

Quantifying Uncertainty in Deep Learning Approaches to Radio Galaxy Classification.

Devina Mohan, Anna M. M. Scaife, Fiona Porter, Mike Walmsley, Micah Bowles

CoRR, 2022

2021

Weight Pruning and Uncertainty in Radio Galaxy Classification.

Devina Mohan, Anna M. M. Scaife

CoRR, 2021

E(2) Equivariant Self-Attention for Radio Astronomy.

Micah Bowles, Matthew Bromley, Max Allen, Anna M. M. Scaife

CoRR, 2021

Can semi-supervised learning reduce the amount of manual labelling required for effective radio galaxy morphology classification?

Inigo V. Slijepcevic, Anna M. M. Scaife

CoRR, 2021

Practical Galaxy Morphology Tools from Deep Supervised Representation Learning.

Mike Walmsley, Anna M. M. Scaife, Chris J. Lintott, Michelle Lochner, Verlon Etsebeth, Tobias Géron, Hugh Dickinson, Lucy Fortson, Sandor Kruk, Karen L. Masters, Kameswara Bharadwaj Mantha, Brooke D. Simmons

CoRR, 2021

2020

Attention-gating for improved radio galaxy classification.

Micah Bowles, Anna M. M. Scaife, Fiona Porter, Hongming Tang, David J. Bastien

CoRR, 2020

2019

Cleaning radio interferometric images using a spherical wavelet decomposition.

C. J. Skipper, Anna M. M. Scaife, Jason D. McEwen

Astron. Comput., 2019

Efficient source finding for radio interferometric images.

Luis Lucas, Tim D. Staley, Anna M. M. Scaife

Astron. Comput., 2019