Anna M. M. Scaife

Orcid: 0000-0002-5364-2301

According to our database1, Anna M. M. Scaife authored at least 17 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Evaluating Bayesian deep learning for radio galaxy classification.
CoRR, 2024

Scaling Laws for Galaxy Images.
CoRR, 2024

2023
Zoobot: Adaptable Deep Learning Models for Galaxy Morphology.
J. Open Source Softw., July, 2023

Rare Galaxy Classes Identified In Foundation Model Representations.
CoRR, 2023

Bayesian Imaging for Radio Interferometry with Score-Based Priors.
CoRR, 2023

MiraBest: A Dataset of Morphologically Classified Radio Galaxies for Machine Learning.
CoRR, 2023

2022
A New Task: Deriving Semantic Class Targets for the Physical Sciences.
CoRR, 2022

Towards Galaxy Foundation Models with Hybrid Contrastive Learning.
CoRR, 2022

Radio Galaxy Zoo: Using semi-supervised learning to leverage large unlabelled data-sets for radio galaxy classification under data-set shift.
CoRR, 2022

Quantifying Uncertainty in Deep Learning Approaches to Radio Galaxy Classification.
CoRR, 2022

2021
Weight Pruning and Uncertainty in Radio Galaxy Classification.
CoRR, 2021

E(2) Equivariant Self-Attention for Radio Astronomy.
CoRR, 2021

Can semi-supervised learning reduce the amount of manual labelling required for effective radio galaxy morphology classification?
CoRR, 2021

Practical Galaxy Morphology Tools from Deep Supervised Representation Learning.
CoRR, 2021

2020
Attention-gating for improved radio galaxy classification.
CoRR, 2020

2019
Cleaning radio interferometric images using a spherical wavelet decomposition.
Astron. Comput., 2019

Efficient source finding for radio interferometric images.
Astron. Comput., 2019


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