Botond Cseke
Botond Cseke publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability, on topics such as Gaussian Processes and Bayesian Inference, Bayesian Methods and Mixture Models and Generative Adversarial Networks and Image Synthesis.
- World rank
- #1,964,726 of 7,710,434 ranked researchers
- Rank in Netherlands
- #42,864 of 107,149
- Works
- 36
- Citations
- 1.6k
- Citations per work
- 44.5
What does Botond Cseke research?
Botond Cseke's work is mostly in Computer Science (58%), Mathematics (11%), Engineering (10%).
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 Sciences2979.5%
- Computer Science2158.1%
- Mathematics411.2%
- Engineering410.2%
- Everything else412.3%
- Life Sciences38.2%
- 1Artificial Intelligence36% of their works
- 2Computer Vision and Pattern Recognition17% of their works
- 3Statistics and Probability11% of their works
- 4Control and Systems Engineering10% of their works
- 5Molecular Biology8% of their works
- 6Signal Processing5% of their works
Research topics
- Gaussian Processes and Bayesian Inference
- Bayesian Methods and Mixture Models
- Generative Adversarial Networks and Image Synthesis
- Statistical Methods and Bayesian Inference
- Bayesian Modeling and Causal Inference
- Domain Adaptation and Few-Shot Learning
- Human Pose and Action Recognition
- Robot Manipulation and Learning
Which keywords describe Botond Cseke's research?
The keywords of their largest research topics: Deep Learning, Bayesian Inference, Variational Inference, Representation Learning, Unsupervised Learning, Gaussian Processes, Machine Learning and Clustering.
- Robot Learning
- Grasping
- Causal Inference
- Action Recognition
- Image Synthesis
- Bayesian Modeling
- Clustering
- Gaussian Processes
- Representation Learning
- Bayesian Inference
- Deep Learning
- Variational Inference
- Unsupervised Learning
- Machine Learning
- Mixture Models
- Generative Adversarial Networks
- Multiple Imputation
- Bayesian Networks
- Domain Adaptation
- Pose Estimation
- Transfer Learning
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 Learning234 topics
- Bayesian Inference162 topics
- Variational Inference162 topics
- Representation Learning102 topics
- Unsupervised Learning102 topics
- Gaussian Processes91 topic
- Machine Learning91 topic
- Clustering71 topic
- Mixture Models71 topic
- Bayesian Modeling61 topic
- Generative Adversarial Networks61 topic
- Image Synthesis61 topic
- Multiple Imputation61 topic
- Action Recognition41 topic
- Bayesian Networks41 topic
- Causal Inference41 topic
- Domain Adaptation41 topic
- Grasping41 topic
- Pose Estimation41 topic
- Robot Learning41 topic
- Transfer Learning41 topic
Where does Botond Cseke work?
Botond Cseke's main affiliation in the publication record is Radboud University Nijmegen, Netherlands.
How many publications and citations does Botond Cseke have?
OpenAlex counts 36 works and 1,603 citations for Botond Cseke, an h-index of 12, ranking #1,964,726 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.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
Discussion
Ask a question or share a note about Botond Cseke. Posts are plain text and can be reported.