Anna M. M. Scaife

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Wavelet Decomposition

Physical Sciences

Labeled Instances

Supervised Learning

Top Venues

Astron. Comput.

J. Open Source Softw.

Publications

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, Josh Speagle, Hugh Dickinson, Lucy Fortson, Tobias Géron, Sandor Kruk, Chris J. Lintott, Kameswara Bharadwaj Mantha, Devina Mohan, David O'Ryan, Inigo V. Slijepcevic
Scaling Laws for Galaxy Images. CoRR (2024)
Devina Mohan, Anna M. M. Scaife
Evaluating Bayesian deep learning for radio galaxy classification. CoRR (2024)
Noe Dia, M. J. Yantovski-Barth, Alexandre Adam, Micah Bowles, Pablo Lemos, Anna M. M. Scaife, Yashar Hezaveh, Laurence Perreault Levasseur
Bayesian Imaging for Radio Interferometry with Score-Based Priors. CoRR (2023)
Mike Walmsley, Anna M. M. Scaife
Rare Galaxy Classes Identified In Foundation Model Representations. CoRR (2023)
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
Zoobot: Adaptable Deep Learning Models for Galaxy Morphology. J. Open Source Softw. 8 (87) (2023)
Fiona A. M. Porter, Anna M. M. Scaife
MiraBest: A Dataset of Morphologically Classified Radio Galaxies for Machine Learning. CoRR (2023)
Inigo V. Slijepcevic, Anna M. M. Scaife, Mike Walmsley, Micah Bowles, Ivy Wong, Stanislav S. Shabala, Hongming Tang
Radio Galaxy Zoo: Using semi-supervised learning to leverage large unlabelled data-sets for radio galaxy classification under data-set shift. CoRR (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
A New Task: Deriving Semantic Class Targets for the Physical Sciences. CoRR (2022)
Devina Mohan, Anna M. M. Scaife, Fiona Porter, Mike Walmsley, Micah Bowles
Quantifying Uncertainty in Deep Learning Approaches to Radio Galaxy Classification. CoRR (2022)
Mike Walmsley, Inigo Val Slijepcevic, Micah Bowles, Anna M. M. Scaife
Towards Galaxy Foundation Models with Hybrid Contrastive Learning. CoRR (2022)
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
Practical Galaxy Morphology Tools from Deep Supervised Representation Learning. CoRR (2021)
Inigo V. Slijepcevic, Anna M. M. Scaife
Can semi-supervised learning reduce the amount of manual labelling required for effective radio galaxy morphology classification? CoRR (2021)
Micah Bowles, Anna M. M. Scaife, Fiona Porter, Hongming Tang, David J. Bastien
Attention-gating for improved radio galaxy classification. CoRR (2020)
Luis Lucas, Tim D. Staley, Anna M. M. Scaife
Efficient source finding for radio interferometric images. Astron. Comput. 27 (2019)
C. J. Skipper, Anna M. M. Scaife, Jason D. McEwen
Cleaning radio interferometric images using a spherical wavelet decomposition. Astron. Comput. 29 (2019)