| Calorimetry with deep learning: particle simulation and reconstruction for collider physics D Belayneh, F Carminati, A Farbin, B Hooberman, G Khattak, M Liu, J Liu, ... The European Physical Journal C 80 (7), 1-31, 2020 | 139 | 2020 |
| Gravitational wave denoising of binary black hole mergers with deep learning W Wei, EA Huerta Physics Letters B 800, 135081, 2020 | 106 | 2020 |
| Enabling real-time multi-messenger astrophysics discoveries with deep learning EA Huerta, G Allen, I Andreoni, JM Antelis, E Bachelet, GB Berriman, ... Nature Reviews Physics 1 (10), 600-608, 2019 | 80 | 2019 |
| Deep transfer learning for star cluster classification: I. application to the PHANGS–HST survey W Wei, EA Huerta, BC Whitmore, JC Lee, S Hannon, R Chandar, DA Dale, ... Monthly Notices of the Royal Astronomical Society 493 (3), 3178-3193, 2020 | 59 | 2020 |
| 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 | 56 | 2021 |
| 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 | 55 | 2021 |
| Calorimetry with deep learning: particle classification, energy regression, and simulation for high-energy physics F Carminati, G Khattak, M Pierini, S Vallecorsafa, A Farbin, B Hooberman, ... Workshop on deep learning for physical sciences (DLPS 2017), NIPS, 31, 2017 | 47 | 2017 |
| Deep learning for gravitational wave forecasting of neutron star mergers W Wei, EA Huerta Physics Letters B 816, 136185, 2021 | 45 | 2021 |
| Star cluster classification in the PHANGS–HST survey: Comparison between human and machine learning approaches BC Whitmore, JC Lee, R Chandar, DA Thilker, S Hannon, W Wei, ... Monthly Notices of the Royal Astronomical Society 506 (4), 5294-5317, 2021 | 40 | 2021 |
| Deep learning with quantized neural networks for gravitational-wave forecasting of eccentric compact binary coalescence W Wei, EA Huerta, M Yun, N Loutrel, MA Shaikh, P Kumar, R Haas, ... The Astrophysical Journal 919 (2), 82, 2021 | 32 | 2021 |
| Calorimetry with Deep Learning: Particle Classification, Energy Regression, and Simulation for High-Energy Physics, 2017. Deep Learning in Physical Sciences (NIPS workshop) B Hooberman, A Farbin, G Khattak, V Pacela, M Pierini, JR Vlimant, ... | 10 | |
| Star cluster classification using deep transfer learning with PHANGS-HST S Hannon, BC Whitmore, JC Lee, DA Thilker, S Deger, EA Huerta, W Wei, ... Monthly Notices of the Royal Astronomical Society 526 (2), 2991-3006, 2023 | 5 | 2023 |
| 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 |
| Vitorial, Maria Spiropulu, and Jean-roch Vlimant. Calorimetry with Deep Learning: Particle Classification, Energy Regression, and Simulation for High-Energy Physics F Carminati, G Khattak, M Pierini, S Vallecorsafa, A Farbin, B Hooberman, ... NIPS, 2017 | 2 | 2017 |
| Deep Transfer Learning for Star Cluster Classification W Wei, E Huerta, B Whitmore, J Lee, S Hannon Bulletin of the American Physical Society 65, 2020 | 1 | 2020 |
| Stellar Clusters and Associations in Nearby Galaxies: First Results from PHANGS-HST S Deger, J Lee, D Thilker, B Whitmore, M Boquien, R Chandar, D Dale, ... American Astronomical Society Meeting Abstracts# 235 235, 178.01, 2020 | 1 | 2020 |
| Applications of deep learning for gravitational wave physics W Wei University of Illinois at Urbana-Champaign, 2021 | | 2021 |
