David Wingate
David Wingate
Associate professor of Computer Science, Brigham Young University
Verifierad e-postadress på cs.byu.edu - Startsida
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Citeras av
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
Lightweight implementations of probabilistic programming languages via transformational compilation
D Wingate, A Stuhlmüller, N Goodman
Proceedings of the Fourteenth International Conference on Artificial …, 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
Automated variational inference in probabilistic programming
D Wingate, T Weber
arXiv preprint arXiv:1301.1299, 2013
Prioritization Methods for Accelerating MDP Solvers.
D Wingate, KD Seppi, S Mahadevan
Journal of Machine Learning Research 6 (5), 2005
Acoustic source tracking and selection
D Wingate, ND Stein, B Vigoda, P Ohiomoba, B Donnelly
US Patent App. 14/847,818, 2016
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
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
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
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
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
Apparatus, systems, and methods for providing intelligent vehicular systems and services
D Wingate, H Weinberg, B Vigoda
US Patent App. 15/121,435, 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
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
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
Nonparametric Bayesian policy priors for reinforcement learning
F Doshi-Velez, D Wingate, N Roy, J Tenenbaum
Advances in Neural Information Processing Systems 23, 2010
Infinite dynamic Bayesian networks
F Doshi-Velez, D Wingate, J Tenenbaum, N Roy
International Machine Learning Society, 2011
Nonstandard interpretations of probabilistic programs for efficient inference
D Wingate, N Goodman, A Stuhlmüller, J Siskind
Advances in Neural Information Processing Systems 24, 2011
Out of One, Many: Using Language Models to Simulate Human Samples
LP Argyle, EC Busby, N Fulda, J Gubler, C Rytting, D Wingate
arXiv preprint arXiv:2209.06899, 2022
Signal source separation
D Wingate, N Stein
US Patent 9,460,732, 2016
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