| The llama 3 herd of models A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... arXiv preprint arXiv:2407.21783, 2024 | 3098 | 2024 |
| Jet-images—deep learning edition L de Oliveira, M Kagan, L Mackey, B Nachman, A Schwartzman Journal of High Energy Physics 2016 (7), 1-32, 2016 | 463 | 2016 |
| CaloGAN: Simulating 3D high energy particle showers in multilayer electromagnetic calorimeters with generative adversarial networks M Paganini, L de Oliveira, B Nachman Physical Review D 97 (1), 014021, 2018 | 430 | 2018 |
| Learning particle physics by example: location-aware generative adversarial networks for physics synthesis L de Oliveira, M Paganini, B Nachman Computing and Software for Big Science 1 (1), 4, 2017 | 342 | 2017 |
| Accelerating science with generative adversarial networks: an application to 3D particle showers in multilayer calorimeters M Paganini, L de Oliveira, B Nachman Physical review letters 120 (4), 042003, 2018 | 306 | 2018 |
| The llama 3 herd of models A Grattafiori, A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, ... arXiv e-prints, arXiv: 2407.21783, 2024 | 113 | 2024 |
| Controlling physical attributes in GAN-accelerated simulation of electromagnetic calorimeters L De Oliveira, M Paganini, B Nachman Journal of Physics: Conference Series 1085 (4), 042017, 2018 | 72 | 2018 |
| Image Processing, Computer Vision, and Deep Learning: new approaches to the analysis and physics interpretation of LHC events A Schwartzman, M Kagan, L Mackey, B Nachman, L De Oliveira Journal of Physics: Conference Series 762 (1), 012035, 2016 | 41 | 2016 |
| Electromagnetic showers beyond shower shapes L De Oliveira, B Nachman, M Paganini Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2020 | 37 | 2020 |
| Humor detection in yelp reviews L De Oliveira, AL Rodrigo Retrieved on December 15, 2019, 2015 | 27 | 2015 |
| Language model for abstractive summarization LP De Oliveira, AL Rodrigo US Patent 11,475,210, 2022 | 15 | 2022 |
| HEP Software Foundation Community White Paper Working Group-Detector Simulation HEP Foundation, J Apostolakis, M Asai, S Banerjee, R Bianchi, P Canal, ... arXiv preprint arXiv:1803.04165, 2018 | 11* | 2018 |
| Language model for abstractive summarization LP De Oliveira, AL Rodrigo US Patent 11,941,348, 2024 | 8 | 2024 |
| Transition-driven transcript search LP De Oliveira, U Akeel, AL Rodrigo, NA Amador, S Kumar, LB Dremer, ... US Patent 12,158,902, 2024 | 7 | 2024 |
| Tool for categorizing and extracting data from audio conversations AL Rodrigo, T Cole, U Akeel, LP De Oliveira US Patent 12,079,573, 2024 | 7 | 2024 |
| Tips and tricks for training GANs with physics constraints L de Oliveira, M Paganini, B Nachman Proceedings of the Deep Learning for Physical Sciences Workshop at NIPS, 2017 | 7 | 2017 |
| Boosted jet tagging with jet-images and deep neural networks M Kagan, L de Oliveira, L Mackey, B Nachman, A Schwartzman EPJ Web of Conferences 127, 00009, 2016 | 7 | 2016 |
| CodeDroid: a framework to develop context-aware applications LBR de Oliveira, AAF Loureiro CENTRIC 2011, 79, 2011 | 5 | 2011 |
| Text formatter AL Rodrigo, LP De Oliveira, U Akeel, T Cole US Patent 11,809,804, 2023 | 4 | 2023 |
| Survey of machine learning techniques for high energy electromagnetic shower classification M Paganini, L de Oliveira, B Nachman Deep Learning for Physical Sciences Workshop at the 31st Conference on …, 2017 | 4 | 2017 |
Benjamin NachmanStaff Scientist, Lawrence Berkeley National Laboratoryכתובת אימייל מאומתת בדומיין lbl.gov