Boris Nectoux
Boris Nectoux publishes mostly in Artificial Intelligence, Statistical and Nonlinear Physics and Mathematical Physics, on topics such as Gaussian Processes and Bayesian Inference, Stochastic processes and statistical mechanics and Markov Chains and Monte Carlo Methods.
- World rank
- #1,625,133 of 1,633,909 ranked researchers
- Rank in France
- #95,557 of 96,116
- Works
- 17
- Citations
- 6
- Citations per work
- 0.4
What does Boris Nectoux research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence24% of their works
- 2Statistical and Nonlinear Physics24% of their works
- 3Mathematical Physics20% of their works
- 4Statistics and Probability12% of their works
- 5Molecular Biology4% of their works
- 6Atomic and Molecular Physics, and Optics4% of their works
Research topics
- Gaussian Processes and Bayesian Inference
- Stochastic processes and statistical mechanics
- Markov Chains and Monte Carlo Methods
- Quantum chaos and dynamical systems
- Diffusion and Search Dynamics
- Neural Networks and Applications
- Adversarial Robustness in Machine Learning
- Stochastic Gradient Optimization Techniques
Which keywords describe Boris Nectoux's research?
The keywords of their largest research topics: Deep Learning, Approximation Algorithms, Machine Learning, Neural Networks, Bayesian Monte Carlo, Gaussian Processes, Interacting Particle Systems and Lagrangian Coherent Structures.
- Stochastic Gradient Descent
- Robustness
- Protein-DNA Interaction
- Backpropagation Learning
- Variational Inference
- Quantum Chaos
- Lagrangian Coherent Structures
- Gaussian Processes
- Neural Networks
- Approximation Algorithms
- Deep Learning
- Machine Learning
- Bayesian Monte Carlo
- Interacting Particle Systems
- Markov Chain
- Scaling Limits
- Adversarial Examples
- Facilitated Diffusion
- Random Projections
- Self-Organizing Maps
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 Learning54 topics
- Approximation Algorithms32 topics
- Machine Learning32 topics
- Neural Networks33 topics
- Bayesian Monte Carlo21 topic
- Gaussian Processes21 topic
- Interacting Particle Systems21 topic
- Lagrangian Coherent Structures21 topic
- Markov Chain21 topic
- Quantum Chaos21 topic
- Scaling Limits21 topic
- Variational Inference21 topic
- Adversarial Examples11 topic
- Backpropagation Learning11 topic
- Facilitated Diffusion11 topic
- Protein-DNA Interaction11 topic
- Random Projections11 topic
- Robustness11 topic
- Self-Organizing Maps11 topic
- Stochastic Gradient Descent11 topic
Where does Boris Nectoux work?
Boris Nectoux's main affiliation in the publication record is Laboratoire de Mathématiques Blaise Pascal, France.
How many publications and citations does Boris Nectoux have?
Science Explorer counts 17 works and 6 citations for Boris Nectoux, ranking #1,625,133 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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