Nicolas Le Roux
Nicolas Le Roux publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics, on topics such as Stochastic Gradient Optimization Techniques, Face and Expression Recognition and Sparse and Compressive Sensing Techniques.
- World rank
- #66,437 of 1,633,909 ranked researchers
- Rank in Canada
- #2,081 of 38,960
- Works
- 53
- Citations
- 374
- Citations per work
- 7.1
What does Nicolas Le Roux research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence40% of their works
- 2Computer Vision and Pattern Recognition9% of their works
- 3Computational Mechanics8% of their works
- 4Electrical and Electronic Engineering6% of their works
- 5Management Science and Operations Research6% of their works
- 6Biomedical Engineering4% of their works
Research topics
Which keywords describe Nicolas Le Roux's research?
The keywords of their largest research topics: Deep Learning, Convex Optimization, Neural Networks, Random Projections, Sparse Representation, Stochastic Gradient Descent, Machine Learning and Compressed Sensing.
- Bioeconomy
- Robustness
- Reinforcement Learning
- Bandit Optimization
- Active Learning
- Face Recognition
- Compressed Sensing
- Stochastic Gradient Descent
- Random Projections
- Convex Optimization
- Deep Learning
- Neural Networks
- Sparse Representation
- Machine Learning
- Dimensionality Reduction
- Signal Recovery
- Adversarial Examples
- Bayesian Optimization
- Robotics
- Semi-Supervised Learning
- Biomass
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
- Deep Learning124 topics
- Convex Optimization113 topics
- Neural Networks103 topics
- Random Projections61 topic
- Sparse Representation62 topics
- Stochastic Gradient Descent61 topic
- Machine Learning42 topics
- Compressed Sensing31 topic
- Dimensionality Reduction31 topic
- Face Recognition31 topic
- Signal Recovery31 topic
- Active Learning21 topic
- Adversarial Examples21 topic
- Bandit Optimization21 topic
- Bayesian Optimization21 topic
- Reinforcement Learning21 topic
- Robotics21 topic
- Robustness21 topic
- Semi-Supervised Learning21 topic
- Bioeconomy11 topic
- Biomass11 topic
Where does Nicolas Le Roux work?
Nicolas Le Roux's main affiliation in the publication record is Université de Montréal, Canada.
How many publications and citations does Nicolas Le Roux have?
Science Explorer counts 53 works and 374 citations for Nicolas Le Roux, ranking #66,437 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.
Other researchers named Nicolas Le Roux
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