Max Welling
Max Welling publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability, on topics such as Gaussian Processes and Bayesian Inference, Neural Networks and Applications and Generative Adversarial Networks and Image Synthesis.
- World rank
- #73,317 of 7,710,434 ranked researchers
- Rank in Netherlands
- #1,641 of 107,149
- Works
- 514
- Citations
- 63k
- Citations per work
- 122.7
What does Max Welling research?
Max Welling's work is mostly in Computer Science (58%), Mathematics (5%), Physics and Astronomy (4%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences34467.0%
- Computer Science30058.4%
- Mathematics244.6%
- Physics and Astronomy214.0%
- Everything else15830.7%
- Life Sciences122.3%
- 1Artificial Intelligence40% of their works
- 2Computer Vision and Pattern Recognition16% of their works
- 3Statistics and Probability5% of their works
- 4Statistical and Nonlinear Physics4% of their works
- 5Signal Processing3% of their works
- 6Molecular Biology2% of their works
Research topics
- Gaussian Processes and Bayesian Inference
- Neural Networks and Applications
- Generative Adversarial Networks and Image Synthesis
- Bayesian Methods and Mixture Models
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Algorithms
- Markov Chains and Monte Carlo Methods
- Bayesian Modeling and Causal Inference
Which keywords describe Max Welling's research?
The keywords of their largest research topics: Deep Learning, Bayesian Inference, Variational Inference, Neural Networks, Gaussian Processes, Machine Learning, Representation Learning and Unsupervised Learning.
- Bayesian Networks
- Bayesian Monte Carlo
- Active Learning
- Domain Adaptation
- Clustering
- Image Synthesis
- Backpropagation Learning
- Probabilistic Models
- Unsupervised Learning
- Machine Learning
- Neural Networks
- Bayesian Inference
- Deep Learning
- Variational Inference
- Gaussian Processes
- Representation Learning
- Semi-Supervised Learning
- Sparse Regression
- Generative Adversarial Networks
- Self-Organizing Maps
- Mixture Models
- Transfer Learning
- Image Classification
- Markov Chain
- Causal Inference
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 25 words, with their numbers
- Deep Learning2454 topics
- Bayesian Inference1352 topics
- Variational Inference1352 topics
- Neural Networks1282 topics
- Gaussian Processes1172 topics
- Machine Learning1172 topics
- Representation Learning1082 topics
- Unsupervised Learning1082 topics
- Semi-Supervised Learning822 topics
- Probabilistic Models791 topic
- Sparse Regression791 topic
- Backpropagation Learning641 topic
- Generative Adversarial Networks641 topic
- Image Synthesis641 topic
- Self-Organizing Maps641 topic
- Clustering561 topic
- Mixture Models561 topic
- Domain Adaptation441 topic
- Transfer Learning441 topic
- Active Learning381 topic
- Image Classification381 topic
- Bayesian Monte Carlo341 topic
- Markov Chain341 topic
- Bayesian Networks321 topic
- Causal Inference321 topic
Where does Max Welling work?
Max Welling's main affiliation in the publication record is University of Amsterdam, Netherlands.
How many publications and citations does Max Welling have?
OpenAlex counts 514 works and 63,047 citations for Max Welling, an h-index of 84, ranking #73,317 of 7,710,434 researchers worldwide on the quality 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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