Pradeep Ravikumar
Pradeep Ravikumar publishes mostly in Artificial Intelligence, Statistics and Probability and Computational Mechanics, on topics such as Sparse and Compressive Sensing Techniques, Statistical Methods and Inference and Bayesian Modeling and Causal Inference.
- World rank
- #21,787 of 1,633,909 ranked researchers
- Rank in United States
- #10,290 of 358,040
- Works
- 49
- Citations
- 1k
- Citations per work
- 21.0
What does Pradeep Ravikumar research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence52% of their works
- 2Statistics and Probability12% of their works
- 3Computational Mechanics9% of their works
- 4Molecular Biology4% of their works
- 5Computer Vision and Pattern Recognition4% of their works
- 6Information Systems4% of their works
Research topics
- Sparse and Compressive Sensing Techniques
- Statistical Methods and Inference
- Bayesian Modeling and Causal Inference
- Machine Learning and Algorithms
- Adversarial Robustness in Machine Learning
- Gaussian Processes and Bayesian Inference
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Data Classification
Which keywords describe Pradeep Ravikumar's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Gaussian Processes, Semi-Supervised Learning, Compressed Sensing, Regularization, Sparse Representation and Variable Selection.
- Noisy Labels
- Domain Adaptation
- Sparse Regression
- Adversarial Examples
- Causal Inference
- Active Learning
- Variable Selection
- Regularization
- Semi-Supervised Learning
- Machine Learning
- Deep Learning
- Gaussian Processes
- Compressed Sensing
- Sparse Representation
- Meta-Learning
- Bayesian Networks
- Image Classification
- Robustness
- Variational Inference
- Hyperparameter Optimization
- Transfer Learning
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
- Deep Learning133 topics
- Machine Learning133 topics
- Gaussian Processes92 topics
- Semi-Supervised Learning82 topics
- Compressed Sensing71 topic
- Regularization71 topic
- Sparse Representation71 topic
- Variable Selection71 topic
- Meta-Learning62 topics
- Active Learning51 topic
- Bayesian Networks51 topic
- Causal Inference51 topic
- Image Classification51 topic
- Adversarial Examples41 topic
- Robustness41 topic
- Sparse Regression41 topic
- Variational Inference41 topic
- Domain Adaptation31 topic
- Hyperparameter Optimization31 topic
- Noisy Labels31 topic
- Transfer Learning31 topic
Where does Pradeep Ravikumar work?
Pradeep Ravikumar's main affiliation in the publication record is The University of Texas at Austin, United States.
How many publications and citations does Pradeep Ravikumar have?
Science Explorer counts 49 works and 1,030 citations for Pradeep Ravikumar, ranking #21,787 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.