David Wingate
About
David Wingate has authored 31 papers that have received a total of 529 indexed citations.
This includes 17 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Control and Systems Engineering. The topics of these papers are Bayesian Modeling and Causal Inference (6 papers), Reinforcement Learning in Robotics (5 papers) and Gaussian Processes and Bayesian Inference (5 papers). David Wingate is often cited by papers focused on Bayesian Modeling and Causal Inference (6 papers), Reinforcement Learning in Robotics (5 papers) and Gaussian Processes and Bayesian Inference (5 papers) and collaborates with scholars based in United States, United Kingdom and Canada. David Wingate's co-authors include Satinder Singh, Noah D. Goodman, Nancy Fulda, Joshua B. Tenenbaum and Lisa P. Argyle and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Journal of Machine Learning Research.
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