Ryan P. Adams
Ryan P. Adams publishes mostly in Artificial Intelligence, Statistics and Probability and Computational Theory and Mathematics, on topics such as Gaussian Processes and Bayesian Inference, Neural Networks and Applications and Machine Learning and Algorithms.
- World rank
- #5,352 of 1,633,909 ranked researchers
- Rank in United States
- #2,555 of 358,040
- Works
- 60
- Citations
- 2k
- Citations per work
- 33.8
What does Ryan P. Adams research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence27% of their works
- 2Statistics and Probability10% of their works
- 3Computational Theory and Mathematics5% of their works
- 4Computer Vision and Pattern Recognition5% of their works
- 5Geometry and Topology4% of their works
- 6Genetics4% of their works
Research topics
Which keywords describe Ryan P. Adams's research?
The keywords of their largest research topics: Deep Learning, Gaussian Processes, Machine Learning, Bayesian Inference, Variational Inference, Probabilistic Models, Sparse Regression and Model Selection.
- Dirichlet Process
- Time Series
- Self-Organizing Maps
- Neural Networks
- Markov Chain
- Dynamic Time Warping
- Active Learning
- Model Selection
- Probabilistic Models
- Bayesian Inference
- Gaussian Processes
- Deep Learning
- Machine Learning
- Variational Inference
- Sparse Regression
- Clustering
- Bayesian Monte Carlo
- Geometric Morphometrics
- Morphological Integration
- Regularization
- Semi-Supervised Learning
- Variable Selection
- Mixture Models
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 23 words, with their numbers
- Deep Learning164 topics
- Gaussian Processes102 topics
- Machine Learning102 topics
- Bayesian Inference92 topics
- Variational Inference92 topics
- Probabilistic Models71 topic
- Sparse Regression71 topic
- Model Selection62 topics
- Clustering52 topics
- Active Learning31 topic
- Bayesian Monte Carlo31 topic
- Dynamic Time Warping31 topic
- Geometric Morphometrics31 topic
- Markov Chain31 topic
- Morphological Integration31 topic
- Neural Networks31 topic
- Regularization31 topic
- Self-Organizing Maps31 topic
- Semi-Supervised Learning31 topic
- Time Series31 topic
- Variable Selection31 topic
- Dirichlet Process21 topic
- Mixture Models21 topic
Where does Ryan P. Adams work?
Ryan P. Adams's main affiliation in the publication record is Harvard University Press, United States.
How many publications and citations does Ryan P. Adams have?
Science Explorer counts 60 works and 2,025 citations for Ryan P. Adams, ranking #5,352 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.