Pascal Germain
Pascal Germain publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics, on topics such as Machine Learning and Algorithms, Domain Adaptation and Few-Shot Learning and Stochastic Gradient Optimization Techniques.
- World rank
- #1,539,926 of 1,633,909 ranked researchers
- Rank in France
- #91,547 of 96,116
- Works
- 25
- Citations
- 14
- Citations per work
- 0.6
What does Pascal Germain research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence76% of their works
- 2Computer Vision and Pattern Recognition10% of their works
- 3Computational Mechanics3% of their works
- 4Sociology and Political Science3% of their works
- 5Ocean Engineering3% of their works
- 6Management Science and Operations Research3% of their works
Research topics
- Machine Learning and Algorithms
- Domain Adaptation and Few-Shot Learning
- Stochastic Gradient Optimization Techniques
- Neural Networks and Applications
- Machine Learning and Data Classification
- Gaussian Processes and Bayesian Inference
- Speech Recognition and Synthesis
- Intelligent Tutoring Systems and Adaptive Learning
Which keywords describe Pascal Germain's research?
The keywords of their largest research topics: Deep Learning, Semi-Supervised Learning, Gaussian Processes, Machine Learning, Meta-Learning, Neural Networks, Active Learning and Image Classification.
- Intelligent Tutoring Systems
- Acoustic Modeling
- Sparse Regression
- Noisy Labels
- Backpropagation Learning
- Stochastic Gradient Descent
- Domain Adaptation
- Image Classification
- Neural Networks
- Machine Learning
- Semi-Supervised Learning
- Deep Learning
- Gaussian Processes
- Meta-Learning
- Active Learning
- Deep Neural Networks
- Random Projections
- Transfer Learning
- Hyperparameter Optimization
- Self-Organizing Maps
- Variational Inference
- Affective States
- Speaker Verification
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 23 words, with their numbers
- Deep Learning114 topics
- Semi-Supervised Learning72 topics
- Gaussian Processes62 topics
- Machine Learning62 topics
- Meta-Learning52 topics
- Neural Networks52 topics
- Active Learning41 topic
- Image Classification41 topic
- Deep Neural Networks32 topics
- Domain Adaptation31 topic
- Random Projections31 topic
- Stochastic Gradient Descent31 topic
- Transfer Learning31 topic
- Backpropagation Learning21 topic
- Hyperparameter Optimization21 topic
- Noisy Labels21 topic
- Self-Organizing Maps21 topic
- Sparse Regression21 topic
- Variational Inference21 topic
- Acoustic Modeling11 topic
- Affective States11 topic
- Intelligent Tutoring Systems11 topic
- Speaker Verification11 topic
Where does Pascal Germain work?
Pascal Germain's main affiliation in the publication record is Laboratoire Hubert Curien, France.
How many publications and citations does Pascal Germain have?
Science Explorer counts 25 works and 14 citations for Pascal Germain, ranking #1,539,926 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.