| Photometric supernova classification with machine learning M Lochner, JD McEwen, HV Peiris, O Lahav, MK Winter The Astrophysical Journal Supplement Series 225 (2), 31, 2016 | 225 | 2016 |
| Machine-learning-based Brokers for Real-time Classification of the LSST Alert Stream G Narayan, T Zaidi, MD Soraisam, Z Wang, M Lochner, T Matheson, ... The Astrophysical Journal Supplement Series 236 (1), 9, 2018 | 132 | 2018 |
| Science-driven optimization of the LSST observing strategy P Marshall, T Anguita, FB Bianco, EC Bellm, N Brandt, W Clarkson, ... arXiv preprint arXiv:1708.04058, 2017 | 87 | 2017 |
| The MeerKAT Galaxy Cluster Legacy Survey-I. Survey Overview and Highlights K Knowles, WD Cotton, L Rudnick, F Camilo, S Goedhart, R Deane, ... Astronomy & Astrophysics 657, A56, 2022 | 82 | 2022 |
| Machine learning cosmological structure formation L Lucie-Smith, HV Peiris, A Pontzen, M Lochner Monthly Notices of the Royal Astronomical Society 479 (3), 3405-3414, 2018 | 73 | 2018 |
| Astronomaly: Personalised active anomaly detection in astronomical data M Lochner, BA Bassett Astronomy and Computing 36, 100481, 2021 | 65 | 2021 |
| The role of machine learning in the next decade of cosmology M Ntampaka, C Avestruz, S Boada, J Caldeira, J Cisewski-Kehe, ... arXiv preprint arXiv:1902.10159, 2019 | 64 | 2019 |
| Optimization of the Observing Cadence for the Rubin Observatory Legacy Survey of Space and Time: a pioneering process of community-focused experimental design FB Bianco, Ž Ivezić, RL Jones, ML Graham, P Marshall, A Saha, ... The Astrophysical Journal Supplement Series 258 (1), 1, 2021 | 59 | 2021 |
| DeepSource: point source detection using deep learning A Vafaei Sadr, EE Vos, BA Bassett, Z Hosenie, N Oozeer, M Lochner Monthly Notices of the Royal Astronomical Society 484 (2), 2793-2806, 2019 | 48 | 2019 |
| MeerKLASS: MeerKAT large area synoptic survey MG Santos, M Cluver, M Hilton, M Jarvis, GIG Jozsa, L Leeuw, O Smirnov, ... arXiv preprint arXiv:1709.06099, 2017 | 41 | 2017 |
| Bayesian inference for radio observations M Lochner, I Natarajan, JTL Zwart, O Smirnov, BA Bassett, N Oozeer, ... Monthly Notices of the Royal Astronomical Society 450 (2), 1308-1319, 2015 | 33 | 2015 |
| 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 | 32 | 2022 |
| Unsupervised machine learning for transient discovery in deeper, wider, faster light curves S Webb, M Lochner, D Muthukrishna, J Cooke, C Flynn, A Mahabal, ... Monthly Notices of the Royal Astronomical Society 498 (3), 3077-3094, 2020 | 31 | 2020 |
| The photometric lsst astronomical time-series classification challenge plasticc: Selection of a performance metric for classification probabilities balancing diverse science goals AI Malz, R Hložek, T Allam, A Bahmanyar, R Biswas, M Dai, L Galbany, ... The Astronomical Journal 158 (5), 171, 2019 | 28 | 2019 |
| Wide-field multi-object spectroscopy to enhance dark energy science from LSST R Mandelbaum, J Blazek, NE Chisari, T Collett, L Galbany, E Gawiser, ... arXiv preprint arXiv:1903.09323, 2019 | 26 | 2019 |
| The impact of observing strategy on cosmological constraints with LSST M Lochner, D Scolnic, H Almoubayyed, T Anguita, H Awan, E Gawiser, ... The Astrophysical Journal Supplement Series 259 (2), 58, 2022 | 23 | 2022 |
| Extending BEAMS to incorporate correlated systematic uncertainties M Knights, BA Bassett, M Varughese, R Hlozek, M Kunz, M Smith, ... Journal of Cosmology and Astroparticle Physics 2013 (01), 039, 2013 | 21 | 2013 |
| Bayesian anomaly detection and classification E Roberts, BA Bassett, M Lochner arXiv preprint arXiv:1902.08627, 2019 | 20 | 2019 |
| zBEAMS: a unified solution for supernova cosmology with redshift uncertainties E Roberts, M Lochner, J Fonseca, BA Bassett, PY Lablanche, S Agarwal Journal of Cosmology and Astroparticle Physics 2017 (10), 036, 2017 | 19 | 2017 |
| Deep multi-object spectroscopy to enhance dark energy science from LSST JA Newman, J Blazek, NE Chisari, D Clowe, I Dell'Antonio, E Gawiser, ... arXiv preprint arXiv:1903.09325, 2019 | 18 | 2019 |
