Francis Bach
Francis Bach publishes mostly in Artificial Intelligence, Statistics and Probability and Computational Mechanics, on topics such as Stochastic Gradient Optimization Techniques, Sparse and Compressive Sensing Techniques and Statistical Methods and Inference.
- World rank
- #64,889 of 1,633,909 ranked researchers
- Rank in France
- #3,445 of 96,116
- Works
- 115
- Citations
- 1.3k
- Citations per work
- 11.4
What does Francis Bach research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence34% of their works
- 2Statistics and Probability13% of their works
- 3Computational Mechanics13% of their works
- 4Computer Vision and Pattern Recognition10% of their works
- 5Signal Processing5% of their works
- 6Computational Theory and Mathematics4% of their works
Research topics
- Stochastic Gradient Optimization Techniques
- Sparse and Compressive Sensing Techniques
- Statistical Methods and Inference
- Machine Learning and Algorithms
- Markov Chains and Monte Carlo Methods
- Privacy-Preserving Technologies in Data
- Adversarial Robustness in Machine Learning
- Advanced Optimization Algorithms Research
Which keywords describe Francis Bach's research?
The keywords of their largest research topics: Convex Optimization, Deep Learning, Approximation Algorithms, Neural Networks, Random Projections, Stochastic Gradient Descent, Compressed Sensing and Sparse Representation.
- Semidefinite Programming
- Robustness
- Federated Learning
- Markov Chain
- Semi-Supervised Learning
- Variable Selection
- Model Selection
- Sparse Representation
- Stochastic Gradient Descent
- Neural Networks
- Deep Learning
- Convex Optimization
- Approximation Algorithms
- Random Projections
- Compressed Sensing
- Machine Learning
- Regularization
- Active Learning
- Bayesian Monte Carlo
- Differential Privacy
- Adversarial Examples
- Optimization Software
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
- Convex Optimization523 topics
- Deep Learning383 topics
- Approximation Algorithms322 topics
- Neural Networks302 topics
- Random Projections251 topic
- Stochastic Gradient Descent251 topic
- Compressed Sensing231 topic
- Sparse Representation231 topic
- Machine Learning193 topics
- Model Selection192 topics
- Regularization121 topic
- Variable Selection121 topic
- Active Learning81 topic
- Semi-Supervised Learning81 topic
- Bayesian Monte Carlo71 topic
- Markov Chain71 topic
- Differential Privacy61 topic
- Federated Learning61 topic
- Adversarial Examples51 topic
- Robustness51 topic
- Optimization Software41 topic
- Semidefinite Programming41 topic
Where does Francis Bach work?
Francis Bach's main affiliation in the publication record is Institut national de recherche en sciences et technologies du numérique, France.
How many publications and citations does Francis Bach have?
Science Explorer counts 115 works and 1,308 citations for Francis Bach, ranking #64,889 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 Francis Bach
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