Philipp Hennig
Philipp Hennig publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics, on topics such as Gaussian Processes and Bayesian Inference, Adversarial Robustness in Machine Learning and Neural Networks and Applications.
- World rank
- #975,764 of 1,633,909 ranked researchers
- Rank in Germany
- #56,782 of 86,443
- Works
- 61
- Citations
- 115
- Citations per work
- 1.9
What does Philipp Hennig research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence50% of their works
- 2Computer Vision and Pattern Recognition6% of their works
- 3Computational Mechanics5% of their works
- 4Statistical and Nonlinear Physics4% of their works
- 5Management Science and Operations Research4% of their works
- 6Control and Systems Engineering3% of their works
Research topics
- Gaussian Processes and Bayesian Inference
- Adversarial Robustness in Machine Learning
- Neural Networks and Applications
- Stochastic Gradient Optimization Techniques
- Bayesian Methods and Mixture Models
- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- Model Reduction and Neural Networks
Which keywords describe Philipp Hennig's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Bayesian Inference, Neural Networks, Variational Inference, Gaussian Processes, Sparse Regression and Adversarial Examples.
- Model Reduction
- Image Synthesis
- Generative Adversarial Networks
- Clustering
- Self-Organizing Maps
- Backpropagation Learning
- Adversarial Examples
- Gaussian Processes
- Neural Networks
- Machine Learning
- Deep Learning
- Bayesian Inference
- Variational Inference
- Sparse Regression
- Robustness
- Random Projections
- Stochastic Gradient Descent
- Convolutional Neural Networks
- Image Recognition
- Mixture Models
- Partial Differential Equations
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 Learning437 topics
- Machine Learning273 topics
- Bayesian Inference202 topics
- Neural Networks204 topics
- Variational Inference202 topics
- Gaussian Processes171 topic
- Sparse Regression171 topic
- Adversarial Examples71 topic
- Robustness71 topic
- Backpropagation Learning51 topic
- Random Projections51 topic
- Self-Organizing Maps51 topic
- Stochastic Gradient Descent51 topic
- Clustering31 topic
- Convolutional Neural Networks31 topic
- Generative Adversarial Networks31 topic
- Image Recognition31 topic
- Image Synthesis31 topic
- Mixture Models31 topic
- Model Reduction31 topic
- Partial Differential Equations31 topic
Where does Philipp Hennig work?
Philipp Hennig's main affiliation in the publication record is Max Planck Institute for Intelligent Systems, Germany.
How many publications and citations does Philipp Hennig have?
Science Explorer counts 61 works and 115 citations for Philipp Hennig, ranking #975,764 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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