Edouard Pauwels
Edouard Pauwels publishes mostly in Computational Theory and Mathematics, Numerical Analysis and Artificial Intelligence, on topics such as Advanced Optimization Algorithms Research, Optimization and Variational Analysis and Stochastic Gradient Optimization Techniques.
- World rank
- #1,605,702 of 1,633,909 ranked researchers
- Rank in France
- #94,658 of 96,116
- Works
- 17
- Citations
- 8
- Citations per work
- 0.5
What does Edouard Pauwels research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Computational Theory and Mathematics25% of their works
- 2Numerical Analysis20% of their works
- 3Artificial Intelligence20% of their works
- 4Statistical and Nonlinear Physics10% of their works
- 5Statistics and Probability10% of their works
- 6Computational Mechanics10% of their works
Research topics
- Advanced Optimization Algorithms Research
- Optimization and Variational Analysis
- Stochastic Gradient Optimization Techniques
- Polynomial and algebraic computation
- Sparse and Compressive Sensing Techniques
- Model Reduction and Neural Networks
- Bayesian Methods and Mixture Models
- Gaussian Processes and Bayesian Inference
Which keywords describe Edouard Pauwels's research?
The keywords of their largest research topics: Convex Optimization, Deep Learning, Optimization Software, Semidefinite Programming, Iterative Algorithms, Machine Learning, Nonlinear Operators and Bayesian Inference.
- Mixture Models
- Clustering
- Symbolic Computing
- Sparse Representation
- Partial Differential Equations
- Gröbner Bases
- Bayesian Inference
- Machine Learning
- Semidefinite Programming
- Deep Learning
- Convex Optimization
- Optimization Software
- Iterative Algorithms
- Nonlinear Operators
- Compressed Sensing
- Model Reduction
- Random Projections
- Stochastic Gradient Descent
- Variational Inference
- Gaussian Processes
- Sparse Regression
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
- Convex Optimization83 topics
- Deep Learning53 topics
- Optimization Software41 topic
- Semidefinite Programming41 topic
- Iterative Algorithms31 topic
- Machine Learning32 topics
- Nonlinear Operators31 topic
- Bayesian Inference22 topics
- Compressed Sensing21 topic
- Gröbner Bases21 topic
- Model Reduction21 topic
- Partial Differential Equations21 topic
- Random Projections21 topic
- Sparse Representation21 topic
- Stochastic Gradient Descent21 topic
- Symbolic Computing21 topic
- Variational Inference22 topics
- Clustering11 topic
- Gaussian Processes11 topic
- Mixture Models11 topic
- Sparse Regression11 topic
Where does Edouard Pauwels work?
Edouard Pauwels's main affiliation in the publication record is Institut de Recherche en Informatique de Toulouse, France.
How many publications and citations does Edouard Pauwels have?
Science Explorer counts 17 works and 8 citations for Edouard Pauwels, ranking #1,605,702 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.