Dustin Tran
About
Dustin Tran has authored 25 papers that have received a total of 679 indexed citations.
This includes 20 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Mechanics. The topics of these papers are Gaussian Processes and Bayesian Inference (8 papers), Machine Learning and Data Classification (6 papers) and Adversarial Robustness in Machine Learning (6 papers). Dustin Tran is often cited by papers focused on Gaussian Processes and Bayesian Inference (8 papers), Machine Learning and Data Classification (6 papers) and Adversarial Robustness in Machine Learning (6 papers) and collaborates with scholars based in United States, Canada and United Kingdom. Dustin Tran's co-authors include David M. Blei, Rajesh Ranganath, Danijar Hafner, Yeming Wen and Balaji Lakshminarayanan and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Machine Learning Research and Annals of Vascular Surgery.
In The Last Decade
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