| System and method for dynamically issuing and processing transaction specific digital credit or debit cards G Mockett, D Wingate US Patent App. 09/777,723, 2001 | 473 | 2001 |
| Out of one, many: Using language models to simulate human samples LP Argyle, EC Busby, N Fulda, JR Gubler, C Rytting, D Wingate Political Analysis 31 (3), 337-351, 2023 | 464 | 2023 |
| Lightweight implementations of probabilistic programming languages via transformational compilation D Wingate, A Stuhlmüller, N Goodman Proceedings of the Fourteenth International Conference on Artificial …, 2011 | 216 | 2011 |
| A Bayesian sampling approach to exploration in reinforcement learning J Asmuth, L Li, ML Littman, A Nouri, D Wingate arXiv preprint arXiv:1205.2664, 2012 | 209 | 2012 |
| Learning nonlinear dynamic models of soft robots for model predictive control with neural networks MT Gillespie, CM Best, EC Townsend, D Wingate, MD Killpack 2018 IEEE International Conference on Soft Robotics (RoboSoft), 39-45, 2018 | 177 | 2018 |
| Automated variational inference in probabilistic programming D Wingate, T Weber arXiv preprint arXiv:1301.1299, 2013 | 163 | 2013 |
| Leveraging large language models for multiple choice question answering J Robinson, D Wingate The Eleventh International Conference on Learning Representations, ICLR, 2023 | 152* | 2023 |
| Acoustic source tracking and selection D Wingate, ND Stein, B Vigoda, P Ohiomoba, B Donnelly US Patent App. 14/847,818, 2016 | 147 | 2016 |
| An information-theoretic approach to prompt engineering without ground truth labels T Sorensen, J Robinson, CM Rytting, AG Shaw, KJ Rogers, AP Delorey, ... arXiv preprint arXiv:2203.11364, 2022 | 145 | 2022 |
| Machine-learned multi-system surrogate models for materials prediction C Nyshadham, M Rupp, B Bekker, AV Shapeev, T Mueller, ... npj Computational Materials 5 (1), 51, 2019 | 136 | 2019 |
| Prioritization Methods for Accelerating MDP Solvers. D Wingate, KD Seppi, S Mahadevan Journal of Machine Learning Research 6 (5), 2005 | 121 | 2005 |
| Leveraging AI for democratic discourse: Chat interventions can improve online political conversations at scale LP Argyle, CA Bail, EC Busby, JR Gubler, T Howe, C Rytting, T Sorensen, ... Proceedings of the National Academy of Sciences 120 (41), e2311627120, 2023 | 93* | 2023 |
| What can you do with a rock? affordance extraction via word embeddings N Fulda, D Ricks, B Murdoch, D Wingate arXiv preprint arXiv:1703.03429, 2017 | 92 | 2017 |
| System and method for a server-side browser including markup language graphical user interface, dynamic markup language rewriter engine and profile engine G Mockett, D Wingate US Patent App. 09/777,728, 2001 | 86 | 2001 |
| Model-based control of soft actuators using learned non-linear discrete-time models P Hyatt, D Wingate, MD Killpack Frontiers in Robotics and AI 6, 22, 2019 | 78 | 2019 |
| A physics-based model prior for object-oriented mdps J Scholz, M Levihn, C Isbell, D Wingate International Conference on Machine Learning, 1089-1097, 2014 | 77 | 2014 |
| Apparatus, systems, and methods for providing intelligent vehicular systems and services D Wingate, H Weinberg, B Vigoda US Patent App. 15/121,435, 2016 | 73 | 2016 |
| Apparatus, systems and methods for providing cloud based blind source separation services D Wingate, B Vigoda, P Ohiomoba, B Donnelly, ND Stein US Patent App. 15/129,802, 2017 | 66 | 2017 |
| Signal source separation D Wingate, N Stein US Patent 9,460,732, 2016 | 58 | 2016 |
| Prompt compression and contrastive conditioning for controllability and toxicity reduction in language models D Wingate, M Shoeybi, T Sorensen arXiv preprint arXiv:2210.03162, 2022 | 52 | 2022 |
Nancy FuldaBrigham Young University在 cs.byu.edu 的电子邮件经过验证
