| Attention-gating for improved radio galaxy classification M Bowles, AMM Scaife, F Porter, H Tang, DJ Bastien Monthly Notices of the Royal Astronomical Society 501 (3), 4579-4595, 2021 | 37 | 2021 |
| Radio Galaxy Zoo: using semi-supervised learning to leverage large unlabelled data sets for radio galaxy classification under data set shift IV Slijepcevic, AMM Scaife, M Walmsley, M Bowles, OI Wong, SS Shabala, ... Monthly Notices of the Royal Astronomical Society 514 (2), 2599-2613, 2022 | 28 | 2022 |
| Quantifying uncertainty in deep learning approaches to radio galaxy classification D Mohan, AMM Scaife, F Porter, M Walmsley, M Bowles Monthly Notices of the Royal Astronomical Society 511 (3), 3722-3740, 2022 | 18 | 2022 |
| Towards Galaxy Foundation Models with Hybrid Contrastive Learning M Walmsley, IV Slijepcevic, M Bowles, AMM Scaife ICML 2022: Machine Learning for Astrophysics Workshop, 2022 | 15 | 2022 |
| Structured variational inference for simulating populations of radio galaxies DJ Bastien, AMM Scaife, H Tang, M Bowles, F Porter Monthly Notices of the Royal Astronomical Society 503 (3), 3351-3370, 2021 | 15 | 2021 |
| Radio galaxy zoo: towards building the first multipurpose foundation model for radio astronomy with self-supervised learning IV Slijepcevic, AMM Scaife, M Walmsley, M Bowles, OI Wong, SS Shabala, ... RAS Techniques and Instruments 3 (1), 19-32, 2024 | 8 | 2024 |
| Zoobot: Adaptable Deep Learning Models for Galaxy Morphology M Walmsley, C Allen, B Aussel, M Bowles, K Gregorowicz, IV Slijepcevic, ... Journal of Open Source Software 8 (85), 5312, 2023 | 8 | 2023 |
| Learning useful representations for radio astronomy" in the wild" with contrastive learning IV Slijepcevic, AMM Scaife, M Walmsley, M Bowles ICML 2022: Machine Learning for Astrophysics Workshop, 2022 | 7 | 2022 |
| Radio galaxy zoo EMU: towards a semantic radio galaxy morphology taxonomy M Bowles, H Tang, E Vardoulaki, EL Alexander, Y Luo, L Rudnick, ... Monthly Notices of the Royal Astronomical Society 522 (2), 2584-2600, 2023 | 5 | 2023 |
| E (2) Equivariant Self-Attention for Radio Astronomy M Bowles, M Bromley, M Allen, A Scaife NeurIPS 2021: Machine Learning for the Physical Sciences Workshop, 2021 | 4 | 2021 |
| Interactions among intermediate redshift galaxies-The case of SDSS J134420. 86+ 663717.8 P Misquitta, M Bowles, A Eckart, M Yttergren, G Busch, M Valencia-S, ... Astronomy & Astrophysics 639, A30, 2020 | 3 | 2020 |
| MIGHTEE polarization early science fields: the deep polarized sky AR Taylor, S Sekhar, L Heino, AMM Scaife, J Stil, M Bowles, M Jarvis, ... Monthly Notices of the Royal Astronomical Society 528 (2), 2511-2522, 2024 | 1 | 2024 |
| A New Task: Deriving Semantic Class Targets for the Physical Sciences M Bowles, H Tang, E Vardoulaki, EL Alexander, Y Luo, L Rudnick, ... NeurIPS 2022: Machine Learning for the Physical Sciences Workshop, 2022 | 1 | 2022 |
| Scaling Laws for Galaxy Images M Walmsley, M Bowles, AMM Scaife, JS Makechemu, AJ Gordon, ... arXiv preprint arXiv:2404.02973, 2024 | | 2024 |
| Bayesian Imaging for Radio Interferometry with Score-Based Priors N Dia, MJ Yantovski-Barth, A Adam, M Bowles, P Lemos, AMM Scaife, ... arXiv preprint arXiv:2311.18012, 2023 | | 2023 |
| A Compressed Sensing Faraday Depth Reconstruction Framework for the MeerKAT MIGHTEE-POL Survey M Cárcamo, A Scaife, R Taylor, M Jarvis, M Bowles, S Sekhar, L Heino, ... 3rd URSI AT-AP-RASC, 2022 | | 2022 |
| Paying Attention to Radio Astronomy Data M Bowles PQDT-Global, 2021 | | 2021 |
| Astrophysically Informed Priors for Self-Attention Classification in Radio Astronomy M Bowles, A Scaife | | |
Mike WalmsleyPostdoctoral Researcher, University of ManchesterVerified email at manchester.ac.uk
