Dustin Tran
- Computational Theory and Mathematics top 2%
- Numerical Analysis top 2%
- Artificial Intelligence top 10%
- Geometry and Topology top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Van Hien NguyenR. ZimmermannYeming WenJimmy BaDavid M. BleiRajesh RanganathMichael W. DusenberryDanijar Hafner
- Topics
- Machine Learning and Data Classification (6 papers)Gaussian Processes and Bayesian Inference (6 papers)Adversarial Robustness in Machine Learning (5 papers)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Dustin Tran
25 papers receiving 458 citations
Peers
Comparison fields: 5 of 75
- Computational Theory and Mathematics 290
- Numerical Analysis 250
- Artificial Intelligence 118
- Geometry and Topology 112
- Computer Vision and Pattern Recognition 59
Countries citing papers authored by Dustin Tran
This map shows the geographic impact of Dustin Tran's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dustin Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dustin Tran more than expected).
Fields of papers citing papers by Dustin Tran
This network shows the impact of papers produced by Dustin Tran. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dustin Tran. The network helps show where Dustin Tran may publish in the future.
Co-authorship network of co-authors of Dustin Tran
This figure shows the co-authorship network connecting the top 25 collaborators of Dustin Tran. A scholar is included among the top collaborators of Dustin Tran based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dustin Tran. Dustin Tran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 33 | |
| 3 | Distilling Ensembles Improves Uncertainty Estimates | 1 |
| 4 | 6 | |
| 5 | 1 | |
| 6 | Why Are Bootstrapped Deep Ensembles Not Better | 1 |
| 7 | Bayesian Layers: A Module for Neural Network Uncertainty | 12 |
| 8 | Measuring Calibration in Deep Learning | 15 |
| 9 | Discrete Flows: Invertible Generative Models of Discrete Data | 11 |
| 10 | Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors | 12 |
| 11 | Noise Contrastive Priors for Functional Uncertainty | 4 |
| 12 | Simple, Distributed, and Accelerated Probabilistic Programming | 7 |
| 13 | Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches | 6 |
| 14 | Deep and Hierarchical Implicit Models. | 20 |
| 15 | Deep Probabilistic Programming | 9 |
| 16 | 1 | |
| 17 | Operator variational inference | 3 |
| 18 | Stability and optimality in stochastic gradient descent. | 2 |
| 19 | 282 | |
| 20 | 24 |
About Dustin Tran
Dustin Tran is a scholar working on Artificial Intelligence, General Social Sciences and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 481 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (6 papers), Gaussian Processes and Bayesian Inference (6 papers) and Adversarial Robustness in Machine Learning (5 papers). The work is most often cited by research in Numerical Analysis (250 citations), Computational Theory and Mathematics (290 citations) and Geometry and Topology (112 citations). Dustin Tran has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Van Hien Nguyen, R. Zimmermann, Yeming Wen, Jimmy Ba, David M. Blei, Rajesh Ranganath, Michael W. Dusenberry, Danijar Hafner, Alex Irpan and James Davidson. Their work appears in journals such as Journal of the American Statistical Association, Annals of Vascular Surgery and Optimization.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.