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Mike Walmsley
Mike Walmsley
Postdoctoral Researcher, University of Manchester
在 manchester.ac.uk 的电子邮件经过验证 - 首页
标题
引用次数
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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
1442020
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
1332022
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
552019
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
372022
dfm/python-fsps: python-fsps v0. 4.2 rc1
B Johnson, D Foreman-Mackey, J Sick, J Leja, N Byler, M Walmsley, ...
Zenodo, 2021
352021
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
312022
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
192022
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
182019
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
162023
Towards galaxy foundation models with hybrid contrastive learning
M Walmsley, IV Slijepcevic, M Bowles, AMM Scaife
arXiv preprint arXiv:2206.11927, 2022
152022
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
152021
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
152019
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
142024
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
132016
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
102023
dfm/python-fsps: v0. 4.4
B Johnson, D Foreman-Mackey, J Sick, J Leja, N Byler, M Walmsley, ...
Zenodo, 2023
102023
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
82023
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
82022
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
72023
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
72022
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