Yee Whye Teh
Yee Whye Teh publishes mostly in Artificial Intelligence, Statistics and Probability and Computer Vision and Pattern Recognition, on topics such as Bayesian Methods and Mixture Models, Machine Learning and Data Classification and Gaussian Processes and Bayesian Inference.
- World rank
- #14,038 of 1,633,909 ranked researchers
- Rank in United Kingdom
- #1,278 of 90,785
- Works
- 103
- Citations
- 1.3k
- Citations per work
- 12.6
What does Yee Whye Teh research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence51% of their works
- 2Statistics and Probability12% of their works
- 3Computer Vision and Pattern Recognition10% of their works
- 4Statistical and Nonlinear Physics3% of their works
- 5Computational Theory and Mathematics2% of their works
- 6Signal Processing2% of their works
Research topics
Which keywords describe Yee Whye Teh's research?
The keywords of their largest research topics: Bayesian Inference, Deep Learning, Variational Inference, Neural Networks, Clustering, Mixture Models, Model Selection and Gaussian Processes.
- Machine Translation
- Self-Organizing Maps
- Markov Chain
- Backpropagation Learning
- Machine Learning
- Hyperparameter Optimization
- Gaussian Processes
- Mixture Models
- Neural Networks
- Deep Learning
- Bayesian Inference
- Variational Inference
- Clustering
- Model Selection
- Generative Adversarial Networks
- Image Synthesis
- Noisy Labels
- Bayesian Monte Carlo
- Regularization
- Variable Selection
- Word Representation
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 21 words, with their numbers
- Bayesian Inference172 topics
- Deep Learning173 topics
- Variational Inference172 topics
- Neural Networks153 topics
- Clustering111 topic
- Mixture Models111 topic
- Model Selection102 topics
- Gaussian Processes61 topic
- Generative Adversarial Networks61 topic
- Hyperparameter Optimization61 topic
- Image Synthesis61 topic
- Machine Learning61 topic
- Noisy Labels61 topic
- Backpropagation Learning51 topic
- Bayesian Monte Carlo51 topic
- Markov Chain51 topic
- Regularization51 topic
- Self-Organizing Maps51 topic
- Variable Selection51 topic
- Machine Translation41 topic
- Word Representation41 topic
Where does Yee Whye Teh work?
Yee Whye Teh's main affiliation in the publication record is University of Oxford, United Kingdom.
How many publications and citations does Yee Whye Teh have?
Science Explorer counts 103 works and 1,293 citations for Yee Whye Teh, ranking #14,038 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.