Éric Moulines
Éric Moulines publishes mostly in Artificial Intelligence, Statistics and Probability and Electrical and Electronic Engineering, on topics such as Statistical Methods and Inference, Markov Chains and Monte Carlo Methods and Stochastic Gradient Optimization Techniques.
- World rank
- #43,357 of 1,633,909 ranked researchers
- Rank in France
- #2,375 of 96,116
- Works
- 172
- Citations
- 1.6k
- Citations per work
- 9.3
What does Éric Moulines research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence21% of their works
- 2Statistics and Probability18% of their works
- 3Electrical and Electronic Engineering9% of their works
- 4Finance6% of their works
- 5Signal Processing5% of their works
- 6Control and Systems Engineering5% of their works
Research topics
- Statistical Methods and Inference
- Markov Chains and Monte Carlo Methods
- Stochastic Gradient Optimization Techniques
- Bayesian Methods and Mixture Models
- Gaussian Processes and Bayesian Inference
- Financial Risk and Volatility Modeling
- Sparse and Compressive Sensing Techniques
- Advanced MIMO Systems Optimization
Which keywords describe Éric Moulines's research?
The keywords of their largest research topics: Model Selection, Approximation Algorithms, Deep Learning, Convex Optimization, Bayesian Inference, Bayesian Monte Carlo, Markov Chain and Regularization.
- Sparse Representation
- Compressed Sensing
- Volatility
- Mixture Models
- Gaussian Processes
- Stochastic Gradient Descent
- Variational Inference
- Regularization
- Bayesian Monte Carlo
- Convex Optimization
- Approximation Algorithms
- Model Selection
- Deep Learning
- Bayesian Inference
- Markov Chain
- Variable Selection
- Random Projections
- Clustering
- Machine Learning
- GARCH Models
- Cellular Networks
- Massive MIMO
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 22 words, with their numbers
- Model Selection322 topics
- Approximation Algorithms272 topics
- Deep Learning192 topics
- Convex Optimization172 topics
- Bayesian Inference162 topics
- Bayesian Monte Carlo161 topic
- Markov Chain161 topic
- Regularization161 topic
- Variable Selection161 topic
- Variational Inference162 topics
- Random Projections111 topic
- Stochastic Gradient Descent111 topic
- Clustering81 topic
- Gaussian Processes81 topic
- Machine Learning81 topic
- Mixture Models81 topic
- GARCH Models71 topic
- Volatility71 topic
- Cellular Networks61 topic
- Compressed Sensing61 topic
- Massive MIMO61 topic
- Sparse Representation61 topic
Where does Éric Moulines work?
Éric Moulines's main affiliation in the publication record is École Polytechnique, France.
How many publications and citations does Éric Moulines have?
Science Explorer counts 172 works and 1,601 citations for Éric Moulines, ranking #43,357 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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