Victor-Emmanuel Brunel
Victor-Emmanuel Brunel publishes mostly in Artificial Intelligence, Statistics and Probability and Applied Mathematics, on topics such as Point processes and geometric inequalities, Machine Learning and Algorithms and Stochastic Gradient Optimization Techniques.
- World rank
- #1,604,137 of 1,633,909 ranked researchers
- Rank in France
- #94,582 of 96,116
- Works
- 17
- Citations
- 7
- Citations per work
- 0.4
What does Victor-Emmanuel Brunel research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence41% of their works
- 2Statistics and Probability24% of their works
- 3Applied Mathematics18% of their works
- 4Computational Mechanics6% of their works
- 5Discrete Mathematics and Combinatorics6% of their works
- 6Statistics, Probability and Uncertainty6% of their works
Research topics
- Point processes and geometric inequalities
- Machine Learning and Algorithms
- Stochastic Gradient Optimization Techniques
- Privacy-Preserving Technologies in Data
- Bayesian Modeling and Causal Inference
- Domain Adaptation and Few-Shot Learning
- Sparse and Compressive Sensing Techniques
- Advanced Combinatorial Mathematics
Which keywords describe Victor-Emmanuel Brunel's research?
The keywords of their largest research topics: Deep Learning, Convex Optimization, Machine Learning, Point Processes, Semi-Supervised Learning, Spatstat, Active Learning and Gaussian Processes.
- Transfer Learning
- Permutations
- Domain Adaptation
- Compressed Sensing
- Causal Inference
- Stochastic Gradient Descent
- Gaussian Processes
- Spatstat
- Point Processes
- Convex Optimization
- Deep Learning
- Machine Learning
- Semi-Supervised Learning
- Active Learning
- Random Projections
- Bayesian Networks
- Combinatorics
- Differential Privacy
- Federated Learning
- Sparse Representation
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 20 words, with their numbers
- Deep Learning42 topics
- Convex Optimization32 topics
- Machine Learning32 topics
- Point Processes31 topic
- Semi-Supervised Learning32 topics
- Spatstat31 topic
- Active Learning21 topic
- Gaussian Processes21 topic
- Random Projections21 topic
- Stochastic Gradient Descent21 topic
- Bayesian Networks11 topic
- Causal Inference11 topic
- Combinatorics11 topic
- Compressed Sensing11 topic
- Differential Privacy11 topic
- Domain Adaptation11 topic
- Federated Learning11 topic
- Permutations11 topic
- Sparse Representation11 topic
- Transfer Learning11 topic
Where does Victor-Emmanuel Brunel work?
Victor-Emmanuel Brunel's main affiliation in the publication record is ENSAE Paris, France.
How many publications and citations does Victor-Emmanuel Brunel have?
Science Explorer counts 17 works and 7 citations for Victor-Emmanuel Brunel, ranking #1,604,137 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.