Jean–Michel Loubes
Jean–Michel Loubes publishes mostly in Artificial Intelligence, Statistics and Probability and Computer Vision and Pattern Recognition, on topics such as Adversarial Robustness in Machine Learning, Statistical Methods and Inference and Bayesian Methods and Mixture Models.
- World rank
- #1,005,125 of 1,633,909 ranked researchers
- Rank in France
- #62,243 of 96,116
- Works
- 62
- Citations
- 76
- Citations per work
- 1.2
What does Jean–Michel Loubes 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 Probability14% of their works
- 3Computer Vision and Pattern Recognition9% of their works
- 4Applied Mathematics8% of their works
- 5Statistics, Probability and Uncertainty6% of their works
- 6Management Science and Operations Research4% of their works
Research topics
- Adversarial Robustness in Machine Learning
- Statistical Methods and Inference
- Bayesian Methods and Mixture Models
- Image and Signal Denoising Methods
- Statistical and numerical algorithms
- Probabilistic and Robust Engineering Design
- Anomaly Detection Techniques and Applications
- Explainable Artificial Intelligence (XAI)
Which keywords describe Jean–Michel Loubes's research?
The keywords of their largest research topics: Deep Learning, High-Dimensional Data, Neural Networks, Adversarial Examples, Regularization, Robustness, Variable Selection and Clustering.
- Machine Learning Interpretability
- Anomaly Detection
- Total Least Squares
- Singular Spectrum Analysis
- Mixture Models
- Clustering
- Robustness
- Adversarial Examples
- High-Dimensional Data
- Deep Learning
- Neural Networks
- Regularization
- Variable Selection
- Image Denoising
- Sensitivity Analysis
- Sparse Representations
- Uncertainty Quantification
- Interpretable Models
- Unsupervised
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 19 words, with their numbers
- Deep Learning93 topics
- High-Dimensional Data62 topics
- Neural Networks62 topics
- Adversarial Examples41 topic
- Regularization41 topic
- Robustness41 topic
- Variable Selection41 topic
- Clustering31 topic
- Image Denoising31 topic
- Mixture Models31 topic
- Sensitivity Analysis31 topic
- Singular Spectrum Analysis31 topic
- Sparse Representations31 topic
- Total Least Squares31 topic
- Uncertainty Quantification31 topic
- Anomaly Detection21 topic
- Interpretable Models21 topic
- Machine Learning Interpretability21 topic
- Unsupervised21 topic
Where does Jean–Michel Loubes work?
Jean–Michel Loubes's main affiliation in the publication record is Institut de Mathématiques de Toulouse, France.
How many publications and citations does Jean–Michel Loubes have?
Science Explorer counts 62 works and 76 citations for Jean–Michel Loubes, ranking #1,005,125 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.