| fink, a new generation of broker for the LSST community A Möller, J Peloton, EEO Ishida, C Arnault, E Bachelet, T Blaineau, ... Monthly Notices of the Royal Astronomical Society 501 (3), 3272-3288, 2021 | 70 | 2021 |
| 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 |
| The photometric lsst astronomical time-series classification challenge (plasticc): Data set T Allam Jr, A Bahmanyar, R Biswas, M Dai, L Galbany, R Hložek, ... arXiv preprint arXiv:1810.00001, 2018 | 17 | 2018 |
| Results of the photometric lsst astronomical time-series classification challenge (plasticc) R Hložek, AI Malz, KA Ponder, M Dai, G Narayan, EEO Ishida, T Allam Jr, ... The Astrophysical Journal Supplement Series 267 (2), 25, 2023 | 16 | 2023 |
| Paying attention to astronomical transients: Introducing the time-series transformer for photometric classification T Allam Jr, JD McEwen arXiv preprint arXiv:2105.06178, 2021 | 10* | 2021 |
| Optimizing the lsst observing strategy for dark energy science: Desc recommendations for the wide-fast-deep survey M Lochner, DM Scolnic, H Awan, N Regnault, P Gris, R Mandelbaum, ... arXiv preprint arXiv:1812.00515, 2018 | 10 | 2018 |
| Considerations for optimizing the photometric classification of supernovae from the rubin observatory CS Alves, HV Peiris, M Lochner, JD McEwen, T Allam, R Biswas, ... The Astrophysical Journal Supplement Series 258 (2), 23, 2022 | 6 | 2022 |
| Optimizing the LSST Observing Strategy for Dark Energy Science: DESC Recommendations for the Deep Drilling Fields and other Special Programs DM Scolnic, M Lochner, P Gris, N Regnault, R Hložek, G Aldering, ... arXiv preprint arXiv:1812.00516, 2018 | 5 | 2018 |
| The Tiny Time-series Transformer: Low-latency High-throughput Classification of Astronomical Transients using Deep Model Compression T Allam Jr, J Peloton, JD McEwen arXiv preprint arXiv:2303.08951, 2023 | 1 | 2023 |
| Optimising the LSST Observing Strategy for Supernova Light Curve Classification with Machine Learning T Allam Jr, R Biswas, R Hlozek, M Lochner, JD McEwen, H Peiris, ... | 1 | 2018 |
| Efficient deep learning for real-time classification of astronomical transients T Allam Jr UCL (University College London), 2023 | | 2023 |
| snmachine: Photometric supernova classification M Lochner, C Alves, H Peiris, J McEwen, T Allam Jr, R Biswas, J Holland, ... Astrophysics Source Code Library, ascl: 2107.006, 2021 | | 2021 |
| Data Study Group Final Report: SenSat T Allam, O Bohdal, N Dong, I Erofeev, Q Hu, J Kuehnert, PM Laribière, ... Zenodo, 2020 | | 2020 |
| The Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC): Final Results K Ponder, R Hlozek, T Allam, A Bahmanyar, R Biswas, K Boone, M Dai, ... American Astronomical Society Meeting Abstracts# 235 235, 203.15, 2020 | | 2020 |
| The Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC) R Hlozek, R Kessler, T Allam, A Bahmanyar, R Biswas, M Dai, L Galbany, ... American Astronomical Society Meeting Abstracts# 233 233, 212.01, 2019 | | 2019 |
| Radio Interferometric Image Reconstruction for the Square Kilometer Array: A Deep Learning Approach T Allam Jr University College London, 2016 | | 2016 |
Jason McEwenUniversity College LondonVerified email at ucl.ac.uk
