| Galaxy Zoo: probabilistic morphology through Bayesian CNNs and active learning M Walmsley, L Smith, C Lintott, Y Gal, S Bamford, H Dickinson, L Fortson, ... Monthly Notices of the Royal Astronomical Society 491 (2), 1554-1574, 2020 | 144 | 2020 |
| Galaxy Zoo DECaLS: Detailed visual morphology measurements from volunteers and deep learning for 314 000 galaxies M Walmsley, C Lintott, T Géron, S Kruk, C Krawczyk, KW Willett, ... Monthly Notices of the Royal Astronomical Society 509 (3), 3966-3988, 2022 | 133 | 2022 |
| Identification of low surface brightness tidal features in galaxies using convolutional neural networks M Walmsley, AMN Ferguson, RG Mann, CJ Lintott Monthly Notices of the Royal Astronomical Society 483 (3), 2968-2982, 2019 | 55 | 2019 |
| Practical galaxy morphology tools from deep supervised representation learning M Walmsley, AMM Scaife, C Lintott, M Lochner, V Etsebeth, T Géron, ... Monthly Notices of the Royal Astronomical Society 513 (2), 1581-1599, 2022 | 37 | 2022 |
| dfm/python-fsps: python-fsps v0. 4.2 rc1 B Johnson, D Foreman-Mackey, J Sick, J Leja, N Byler, M Walmsley, ... Zenodo, 2021 | 35 | 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 | 31 | 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 | 19 | 2022 |
| The effect of minor and major mergers on the evolution of low-excitation radio galaxies YA Gordon, KA Pimbblet, S Kaviraj, MS Owers, CP O’Dea, M Walmsley, ... The Astrophysical Journal 878 (2), 88, 2019 | 18 | 2019 |
| Galaxy Zoo: kinematics of strongly and weakly barred galaxies T Géron, RJ Smethurst, C Lintott, S Kruk, KL Masters, B Simmons, ... Monthly Notices of the Royal Astronomical Society 521 (2), 1775-1793, 2023 | 16 | 2023 |
| Towards galaxy foundation models with hybrid contrastive learning M Walmsley, IV Slijepcevic, M Bowles, AMM Scaife arXiv preprint arXiv:2206.11927, 2022 | 15 | 2022 |
| Revisiting citizen science through the lens of hybrid intelligence J Rafner, M Gajdacz, G Kragh, A Hjorth, A Gander, B Palfi, ... arXiv preprint arXiv:2104.14961, 2021 | 15 | 2021 |
| Help Me to Help You: Machine Augmented Citizen Science DE Wright, L Fortson, C Lintott, M Laraia, M Walmsley ACM Transactions on Social Computing 2 (3), 11, 2019 | 15 | 2019 |
| 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 | 14 | 2024 |
| Optimal trajectories for planetary pole-sitter missions M Walmsley, J Heiligers, M Ceriotti, C McInnes Journal of Guidance, Control, and Dynamics 39 (10), 2461-2468, 2016 | 13 | 2016 |
| Zoobot: Adaptable Deep Learning Models for GalaxyMorphology M Walmsley, C Allen, B Aussel, M Bowles, K Gregorowicz, IV Slijepcevic, ... Journal of Open Source Software 8 (85), 2023 | 10 | 2023 |
| dfm/python-fsps: v0. 4.4 B Johnson, D Foreman-Mackey, J Sick, J Leja, N Byler, M Walmsley, ... Zenodo, 2023 | 10 | 2023 |
| Galaxy Zoo DESI: Detailed morphology measurements for 8.7 M galaxies in the DESI Legacy Imaging Surveys M Walmsley, T Géron, S Kruk, AMM Scaife, C Lintott, KL Masters, ... Monthly Notices of the Royal Astronomical Society 526 (3), 4768-4786, 2023 | 8 | 2023 |
| Quantifying the poor purity and completeness of morphological samples selected by galaxy colour RJ Smethurst, KL Masters, BD Simmons, IL Garland, T Géron, B Häußler, ... Monthly Notices of the Royal Astronomical Society 510 (3), 4126-4133, 2022 | 8 | 2022 |
| Galaxy mergers in Subaru HSC-SSP: A deep representation learning approach for identification, and the role of environment on merger incidence KC Omori, C Bottrell, M Walmsley, HM Yesuf, AD Goulding, X Ding, ... Astronomy & Astrophysics 679, A142, 2023 | 7 | 2023 |
| Learning useful representations for radio astronomy" in the wild" with contrastive learning IV Slijepcevic, AMM Scaife, M Walmsley, M Bowles arXiv preprint arXiv:2207.08666, 2022 | 7 | 2022 |
