| GWTC-3: compact binary coalescences observed by LIGO and Virgo during the second part of the third observing run R Abbott, TD Abbott, F Acernese, K Ackley, C Adams, N Adhikari, ... arXiv preprint arXiv:2111.03606, 2021 | 818 | 2021 |
| Enhancing gravitational-wave science with machine learning E Cuoco, J Powell, M Cavaglià, K Ackley, M Bejger, C Chatterjee, ... Machine Learning: Science and Technology 2 (1), 011002, 2020 | 167 | 2020 |
| Noise reduction in gravitational-wave data via deep learning R Ormiston, T Nguyen, M Coughlin, RX Adhikari, E Katsavounidis Physical Review Research 2 (3), 033066, 2020 | 77 | 2020 |
| Applications and techniques for fast machine learning in science AMC Deiana, N Tran, J Agar, M Blott, G Di Guglielmo, J Duarte, P Harris, ... Frontiers in big Data 5, 787421, 2022 | 48 | 2022 |
| Hardware-accelerated inference for real-time gravitational-wave astronomy A Gunny, D Rankin, J Krupa, M Saleem, T Nguyen, M Coughlin, P Harris, ... Nature Astronomy 6 (5), 529-536, 2022 | 11 | 2022 |
| Uncovering dark matter density profiles in dwarf galaxies with graph neural networks T Nguyen, S Mishra-Sharma, R Williams, L Necib Physical Review D 107 (4), 043015, 2023 | 1 | 2023 |
| FLORAH: A generative model for halo assembly histories T Nguyen, C Modi, LY Yung, RS Somerville arXiv preprint arXiv:2308.05145, 2023 | | 2023 |
| Synthetic Gaia DR3 surveys from the FIRE cosmological simulations of Milky-Way-mass galaxies T Nguyen, X Ou, N Panithanpaisal, N Shipp, L Necib, R Sanderson, ... arXiv preprint arXiv:2306.16475, 2023 | | 2023 |
