| Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques AM Sirunyan, A Tumasyan, W Adam, F Ambrogi, T Bergauer, ... Journal of Instrumentation 15 (06), P06005-P06005, 2020 | 266 | 2020 |
| JEDI-net: a jet identification algorithm based on interaction networks EA Moreno, O Cerri, JM Duarte, HB Newman, TQ Nguyen, A Periwal, ... The European Physical Journal C 80, 1-15, 2020 | 149 | 2020 |
| Interaction networks for the identification of boosted decays EA Moreno, TQ Nguyen, JR Vlimant, O Cerri, HB Newman, A Periwal, ... Physical Review D 102 (1), 012010, 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 |
| DarkQuest: A dark sector upgrade to SpinQuest at the 120 GeV Fermilab Main Injector A Apyan, B Batell, A Berlin, N Blinov, C Chaharom, S Cuadra, Z Demiragli, ... arXiv preprint arXiv:2203.08322, 2022 | 22 | 2022 |
| Accelerating recurrent neural networks for gravitational wave experiments Z Que, E Wang, U Marikar, E Moreno, J Ngadiuba, H Javed, ... 2021 IEEE 32nd International Conference on Application-specific Systems …, 2021 | 18 | 2021 |
| Source-agnostic gravitational-wave detection with recurrent autoencoders EA Moreno, B Borzyszkowski, M Pierini, JR Vlimant, M Spiropulu Machine Learning: Science and Technology 3 (2), 025001, 2022 | 15 | 2022 |
| Demonstration of Machine Learning-assisted real-time noise regression in gravitational wave detectors M Saleem, A Gunny, CJ Chou, LC Yang, SW Yeh, AHY Chen, R Magee, ... arXiv preprint arXiv:2306.11366, 2023 | 1 | 2023 |
| A machine-learning pipeline for real-time detection of gravitational waves from compact binary coalescences W Benoit, E Marx, A Gunny, R Omer, D Chatterjee, M Saleem, E Moreno, ... Bulletin of the American Physical Society, 2024 | | 2024 |
| A search for binary mergers in archival LIGO data using aframe, a machine learning detection pipeline E Marx, W Benoit, A Gunny, R Omer, D Chatterjee, M Saleem, E Moreno, ... Bulletin of the American Physical Society, 2024 | | 2024 |
| GWAK: gravitational-wave anomalous knowledge with recurrent autoencoders RJ Raikman, E Moreno, E Govorkova, E Marx, A Gunny, W Benoit, ... Machine Learning: Science and Technology, 2024 | | 2024 |
| A machine-learning pipeline for real-time detection of gravitational waves from compact binary coalescences E Marx, W Benoit, A Gunny, R Omer, D Chatterjee, RC Venterea, L Wills, ... arXiv preprint arXiv:2403.18661, 2024 | | 2024 |
| Ultra Fast Transformers on FPGAs for Particle Physics Experiments Z Jiang, D Yin, EE Khoda, V Loncar, E Govorkova, E Moreno, P Harris, ... arXiv preprint arXiv:2402.01047, 2024 | | 2024 |
| Applications of Deep Learning to physics workflows M Agarwal, J Alameda, J Audenaert, W Benoit, D Beveridge, ... arXiv preprint arXiv:2306.08106, 2023 | | 2023 |
| Sky localization of Un-modeled Gravitational Wave Sources with Machine Learning E Marx, D Chatterjee, A Gunny, W Benoit, R Omer, M Coughlin, ... APS April Meeting Abstracts 2023, P01. 013, 2023 | | 2023 |
| Bridging the machine learning deployment gap in gravitational wave physics A Gunny, E Marx, W Benoit, D Chatterjee, M Coughlin, E Katsavounidis, ... APS April Meeting Abstracts 2023, F09. 001, 2023 | | 2023 |
| Detecting Binary Black Hole Mergers with Effective Machine Learning Infrastructure W Benoit, A Gunny, E Marx, D Chatterjee, R Omer, M Coughlin, ... APS April Meeting Abstracts 2023, F09. 005, 2023 | | 2023 |
| DeepClean: Machine Learning-Assisted Noise Regression in Gravitational Wave Detectors M Cholayil, A Gunny, CJ Chou, LC Yang, M Coughlin, W Benoit, D Rankin, ... APS April Meeting Abstracts 2023, D10. 006, 2023 | | 2023 |
| Quasi-Anomalous Gravitational-Wave Detection with Recurrent Autoencoders R Raikman, E Moreno, E Katsavounidis, P Harris, E Marx, W Benoit, ... APS April Meeting Abstracts 2023, F09. 004, 2023 | | 2023 |
| IEEE: Accelerating Recurrent Neural Networks for Gravitational Wave Experiments Z Que, V Loncar, H Javed, E Wang, U Marikar, T Aarrestad, J Ngadiuba, ... | | 2021 |
