| Benchmarking and scalability of machine-learning methods for photometric redshift estimation B Henghes, C Pettitt, J Thiyagalingam, T Hey, O Lahav Monthly Notices of the Royal Astronomical Society 505 (4), 4847-4856, 2021 | 29 | 2021 |
| Deep learning methods for obtaining photometric redshift estimations from images B Henghes, J Thiyagalingam, C Pettitt, T Hey, O Lahav Monthly Notices of the Royal Astronomical Society 512 (2), 1696-1709, 2022 | 21 | 2022 |
| Expediting DECam multimessenger counterpart searches with convolutional neural networks A Shandonay, R Morgan, K Bechtol, CR Bom, B Nord, A Garcia, ... The Astrophysical Journal 925 (1), 44, 2022 | 7 | 2022 |
| Machine learning for searching the dark energy survey for trans-Neptunian objects B Henghes, O Lahav, DW Gerdes, HW Lin, R Morgan, TMC Abbott, ... Publications of the Astronomical Society of the Pacific 133 (1019), 014501, 2020 | 7 | 2020 |
| Novel applications of machine learning in astronomy and beyond B Henghes UCL (University College London), 2022 | | 2022 |
| On the anti-correlation between COVID-19 infection rate and natural UV light in the UK A Blum, C Nicolaou, B Henghes, O Lahav medRxiv, 2020 | | 2020 |
| On the anti-correlation between COVID-19 infection rate and natural UV light in the UK (preprint) A Blum, C Nicolaou, B Henghes, O Lahav | | 2020 |
Ofer LahavPerren Professor of Astronomy, University College LondonVerified email at ucl.ac.uk
