Anna M. M. Scaife

19 papers A 1Journal 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	IRIS: A Bayesian Approach for Image Reconstruction in Radio Interferometry with expressive Score-Based priors. CoRR Noe Dia, M. J. Yantovski-Barth, Alexandre Adam, Micah Bowles, Laurence Perreault Levasseur, Yashar Hezaveh, Anna M. M. Scaife
2024	A	`conf`	Evaluating Bayesian deep learning for radio galaxy classification. UAI Devina Mohan, Anna M. M. Scaife
2024	J	`jnl`	Evaluating Bayesian deep learning for radio galaxy classification. CoRR Devina Mohan, Anna M. M. Scaife
2024	J	`jnl`	Scaling Laws for Galaxy Images. CoRR 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
2023	J	`jnl`	Bayesian Imaging for Radio Interferometry with Score-Based Priors. CoRR Noe Dia, M. J. Yantovski-Barth, Alexandre Adam, Micah Bowles, Pablo Lemos, Anna M. M. Scaife, Yashar Hezaveh, Laurence Perreault Levasseur
2023	J	`jnl`	MiraBest: A Dataset of Morphologically Classified Radio Galaxies for Machine Learning. CoRR Fiona A. M. Porter, Anna M. M. Scaife
2023	J	`jnl`	Rare Galaxy Classes Identified In Foundation Model Representations. CoRR Mike Walmsley, Anna M. M. Scaife
2023	J	`jnl`	Zoobot: Adaptable Deep Learning Models for Galaxy Morphology. J. Open Source Softw. 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
2022	J	`jnl`	A New Task: Deriving Semantic Class Targets for the Physical Sciences. CoRR 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
2022	J	`jnl`	Quantifying Uncertainty in Deep Learning Approaches to Radio Galaxy Classification. CoRR Devina Mohan, Anna M. M. Scaife, Fiona Porter, Mike Walmsley, Micah Bowles
2022	J	`jnl`	Radio Galaxy Zoo: Using semi-supervised learning to leverage large unlabelled data-sets for radio galaxy classification under data-set shift. CoRR Inigo V. Slijepcevic, Anna M. M. Scaife, Mike Walmsley, Micah Bowles, Ivy Wong, Stanislav S. Shabala, Hongming Tang
2022	J	`jnl`	Towards Galaxy Foundation Models with Hybrid Contrastive Learning. CoRR Mike Walmsley, Inigo Val Slijepcevic, Micah Bowles, Anna M. M. Scaife
2021	J	`jnl`	Can semi-supervised learning reduce the amount of manual labelling required for effective radio galaxy morphology classification? CoRR Inigo V. Slijepcevic, Anna M. M. Scaife
2021	J	`jnl`	E(2) Equivariant Self-Attention for Radio Astronomy. CoRR Micah Bowles, Matthew Bromley, Max Allen, Anna M. M. Scaife
2021	J	`jnl`	Practical Galaxy Morphology Tools from Deep Supervised Representation Learning. CoRR 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
2021	J	`jnl`	Weight Pruning and Uncertainty in Radio Galaxy Classification. CoRR Devina Mohan, Anna M. M. Scaife
2020	J	`jnl`	Attention-gating for improved radio galaxy classification. CoRR Micah Bowles, Anna M. M. Scaife, Fiona Porter, Hongming Tang, David J. Bastien
2019	J	`jnl`	Cleaning radio interferometric images using a spherical wavelet decomposition. Astron. Comput. C. J. Skipper, Anna M. M. Scaife, Jason D. McEwen
2019	J	`jnl`	Efficient source finding for radio interferometric images. Astron. Comput. Luis Lucas, Tim D. Staley, Anna M. M. Scaife