Ulrich Paquet
Ulrich Paquet publishes mostly in Artificial Intelligence, Statistics and Probability and Signal Processing, on topics such as Gaussian Processes and Bayesian Inference, Bayesian Methods and Mixture Models and Bayesian Modeling and Causal Inference.
- World rank
- #495,174 of 1,633,909 ranked researchers
- Rank in United Kingdom
- #41,114 of 90,785
- Works
- 16
- Citations
- 132
- Citations per work
- 8.3
What does Ulrich Paquet research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence56% of their works
- 2Statistics and Probability11% of their works
- 3Signal Processing6% of their works
- 4Statistical and Nonlinear Physics6% of their works
- 5Infectious Diseases6% of their works
- 6Computer Vision and Pattern Recognition6% of their works
Research topics
- Gaussian Processes and Bayesian Inference
- Bayesian Methods and Mixture Models
- Bayesian Modeling and Causal Inference
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Data Classification
- Machine Learning and Algorithms
- Generative Adversarial Networks and Image Synthesis
- Recommender Systems and Techniques
Which keywords describe Ulrich Paquet's research?
The keywords of their largest research topics: Deep Learning, Bayesian Inference, Variational Inference, Gaussian Processes, Machine Learning, Probabilistic Models, Sparse Regression and Bayesian Networks.
- Transfer Learning
- Matrix Factorization
- Image Classification
- Generative Adversarial Networks
- Collaborative Filtering
- Unsupervised Learning
- Neural Networks
- Clustering
- Bayesian Networks
- Probabilistic Models
- Gaussian Processes
- Bayesian Inference
- Deep Learning
- Variational Inference
- Machine Learning
- Sparse Regression
- Causal Inference
- Mixture Models
- Semi-Supervised Learning
- Active Learning
- Domain Adaptation
- Hyperparameter Optimization
- Image Synthesis
- Noisy Labels
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 24 words, with their numbers
- Deep Learning64 topics
- Bayesian Inference52 topics
- Variational Inference52 topics
- Gaussian Processes42 topics
- Machine Learning42 topics
- Probabilistic Models31 topic
- Sparse Regression31 topic
- Bayesian Networks21 topic
- Causal Inference21 topic
- Clustering21 topic
- Mixture Models21 topic
- Neural Networks22 topics
- Semi-Supervised Learning22 topics
- Unsupervised Learning22 topics
- Active Learning11 topic
- Collaborative Filtering11 topic
- Domain Adaptation11 topic
- Generative Adversarial Networks11 topic
- Hyperparameter Optimization11 topic
- Image Classification11 topic
- Image Synthesis11 topic
- Matrix Factorization11 topic
- Noisy Labels11 topic
- Transfer Learning11 topic
Where does Ulrich Paquet work?
Ulrich Paquet's main affiliation in the publication record is Microsoft Research (United Kingdom), United Kingdom.
How many publications and citations does Ulrich Paquet have?
Science Explorer counts 16 works and 132 citations for Ulrich Paquet, ranking #495,174 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.
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