David Wingate

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Nancy FuldaBrigham Young UniversityVerified email at cs.byu.edu
Christopher Michael RyttingPostdoctoral Scholar, University of WashingtonVerified email at cs.washington.edu
Kevin SeppiProfessor of Computer Science, Brigham Young UniversityVerified email at cs.byu.edu
Joshua R. GublerAssociate Professor, Department of Political Science, Brigham Young UniversityVerified email at byu.edu
Lisa P. ArgyleAssistant Professor of Political Science, Brigham Young UniversityVerified email at byu.edu
Ethan C. BusbyAssistant Professor, Brigham Young UniversityVerified email at byu.edu
Marc KillpackAssociate Professor in Mechanical Engineering at BYUVerified email at byu.edu
Taylor SorensenCS PhD @ University of WashingtonVerified email at cs.washington.edu
Joshua B. TenenbaumMITVerified email at mit.edu
Noah D. GoodmanStanford UniversityVerified email at stanford.edu
Satinder SinghGoogle DeepMind / U. of MichiganVerified email at umich.edu
Michael LittmanBrown UniversityVerified email at brown.edu
Lihong Li (李力鸿)AmazonVerified email at amazon.com
Benjamin MurdochArmorBloxVerified email at armorblox.com
Anant AgarwalFounder and CEO of edX, Professor of Electrical Engineering and Computer Science at MITVerified email at mit.edu
Andreas StuhlmüllerElicitVerified email at elicit.com
Gus L. W. HartBrigham Young University, Physics and AstronomyVerified email at byu.edu
Chandramouli NyshadhamKebotix Inc.Verified email at kebotix.com
John AsmuthRutgers UniversityVerified email at cs.rutgers.edu
Theophane WeberResearch Scientist at DeepMindVerified email at google.com

David Wingate

Associate professor of Computer Science, Brigham Young University

Verified email at cs.byu.edu - Homepage

Language models deep learning machine learning


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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	466	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	390	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	214	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	206	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	160	2018
Automated variational inference in probabilistic programming D Wingate, T Weber arXiv preprint arXiv:1301.1299, 2013	159	2013
Acoustic source tracking and selection D Wingate, ND Stein, B Vigoda, P Ohiomoba, B Donnelly US Patent App. 14/847,818, 2016	143	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	135	2022
Leveraging large language models for multiple choice question answering J Robinson, D Wingate The Eleventh International Conference on Learning Representations, ICLR, 2023	130*	2023
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	128	2019
Prioritization Methods for Accelerating MDP Solvers. D Wingate, KD Seppi, S Mahadevan Journal of Machine Learning Research 6 (5), 2005	121	2005
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	91	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
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	76	2014
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	71	2019
Apparatus, systems, and methods for providing intelligent vehicular systems and services D Wingate, H Weinberg, B Vigoda US Patent App. 15/121,435, 2016	69	2016
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	68*	2023
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	57	2016
Bayesian policy search with policy priors D Wingate, ND Goodman, DM Roy, LP Kaelbling, JB Tenenbaum Twenty-second international joint conference on artificial intelligence, 2011	52	2011

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