| Deep learning ensemble for real-time gravitational wave detection of spinning binary black hole mergers W Wei, A Khan, EA Huerta, X Huang, M Tian Physics Letters B 812, 136029, 2021 | 47 | 2021 |
| Accelerated, scalable and reproducible AI-driven gravitational wave detection EA Huerta, A Khan, X Huang, M Tian, M Levental, R Chard, W Wei, ... Nature Astronomy 5 (10), 1062-1068, 2021 | 44 | 2021 |
| Inference-optimized AI and high performance computing for gravitational wave detection at scale P Chaturvedi, A Khan, M Tian, EA Huerta, H Zheng Frontiers in Artificial Intelligence 5, 828672, 2022 | 14 | 2022 |
| Confluence of artificial intelligence and high performance computing for accelerated, scalable and reproducible gravitational wave detection E Huerta, A Khan, X Huang, M Tian, M Levental, R Chard, W Wei, ... | 5 | 2021 |
| Physics-inspired spatiotemporal-graph AI ensemble for gravitational wave detection M Tian, EA Huerta, H Zheng arXiv preprint arXiv:2306.15728, 2023 | 2 | 2023 |
| Physics-inspired spatiotemporal-graph AI ensemble for the detection of higher order wave mode signals of spinning binary black hole mergers M Tian, E Huerta, H Zheng, P Kumar Machine Learning: Science and Technology, 2024 | | 2024 |
| AI ensemble for signal detection of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers M Tian, EA Huerta, H Zheng arXiv preprint arXiv:2310.00052, 2023 | | 2023 |
| Physics-inspired spatiotemporal-graph AI ensemble for gravitational wave detection E Huerta, M Tian, H Zheng | | 2023 |
Eliu HuertaArgonne National Laboratory and The University of ChicagoVerified email at anl.gov
