Andrew Gordon Wilson
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 2%
- Computational Theory and Mathematics top 2%
- Control and Systems Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Pavel IzmailovRyan P. AdamsTimur GaripovDmitry VetrovD. A. PodoprikhinBen AthiwaratkunHannes NickischEric P. Xing
- Topics
- Gaussian Processes and Bayesian Inference (21 papers)Machine Learning and Data Classification (10 papers)Domain Adaptation and Few-Shot Learning (8 papers)
- Journals
- Proceedings of the National Academy of SciencesMonthly Notices of the Royal Astronomical SocietyJournal of Machine Learning Research
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Andrew Gordon Wilson
52 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Artificial Intelligence 1.0k
- Computer Vision and Pattern Recognition 390
- Computational Theory and Mathematics 196
- Control and Systems Engineering 145
- Electrical and Electronic Engineering 100
Countries citing papers authored by Andrew Gordon Wilson
This map shows the geographic impact of Andrew Gordon Wilson'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 Andrew Gordon Wilson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Gordon Wilson more than expected).
Fields of papers citing papers by Andrew Gordon Wilson
This network shows the impact of papers produced by Andrew Gordon Wilson. 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 Andrew Gordon Wilson. The network helps show where Andrew Gordon Wilson may publish in the future.
Co-authorship network of co-authors of Andrew Gordon Wilson
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Gordon Wilson. A scholar is included among the top collaborators of Andrew Gordon Wilson 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 Andrew Gordon Wilson. Andrew Gordon Wilson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 27 | |
| 3 | What Are Bayesian Neural Network Posteriors Really Like | 3 |
| 4 | Randomly Projected Additive Gaussian Processes for Regression | 2 |
| 5 | Generalizing Convolutional Networks for Equivariance to Lie Groups on Arbitrary Continuous Data. | 1 |
| 6 | Learning Invariances in Neural Networks from Training Data. | 7 |
| 7 | Practical multi-fidelity Bayesian optimization for hyperparameter tuning | 12 |
| 8 | GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration | 57 |
| 9 | Product kernel interpolation for scalable gaussian processes | 5 |
| 10 | Improving Consistency-Based Semi-Supervised Learning with Weight Averaging. | 7 |
| 11 | Scaling Gaussian Process Regression with Derivatives | 8 |
| 12 | 166 | |
| 13 | Bayesian Optimization with Gradients | 9 |
| 14 | Bayesian GAN | 20 |
| 15 | Scalable gaussian processes for characterizing multidimensional change surfaces | 5 |
| 16 | The human kernel | 6 |
| 17 | Analisis Penyelesaian Traveling Salesman Problem dengan Metode Brute Force menggunakan Graphic Processing Unit | 3 |
| 18 | {Student-t Processes as Alternatives to Gaussian Processes} | 19 |
| 19 | Fast Kernel Learning for Multidimensional Pattern Extrapolation | 42 |
| 20 | Gaussian Process Covariance Kernels for Pattern Discovery and Extrapolation | 15 |
About Andrew Gordon Wilson
Andrew Gordon Wilson is a scholar working on Artificial Intelligence, Occupational Therapy and Computer Vision and Pattern Recognition, having authored 53 papers that have together received 1.8k indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (21 papers), Machine Learning and Data Classification (10 papers) and Domain Adaptation and Few-Shot Learning (8 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Computer Vision and Pattern Recognition (390 citations) and Health Informatics (21 citations). Andrew Gordon Wilson has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Pavel Izmailov, Ryan P. Adams, Timur Garipov, Dmitry Vetrov, D. A. Podoprikhin, Ben Athiwaratkun, Hannes Nickisch, Eric P. Xing, Christoph Dann and Anima Anandkumar. Their work appears in journals such as Proceedings of the National Academy of Sciences, Monthly Notices of the Royal Astronomical Society and Journal of Machine Learning Research.
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.