Botond Cseke
Impact in
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- Advanced Image and Video Retrieval Techniques
Papers in
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- Gaussian Processes and Bayesian Inference 6
- Bayesian Methods and Mixture Models 4
- Bayesian Modeling and Causal Inference 3
- Neural Networks and Applications 2
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- Statistical Methods and Bayesian Inference 4
- Statistical Methods and Inference 2
- Co-authors
- Guido Sanguinetti (7 shared papers)Manfred Opper (2 shared papers)Tom Heskes (9 shared papers)Marcel van Gerven (2 shared papers)Floris P. de Lange (1 shared paper)David Tollervey (1 shared paper)Grzegorz Kudla (1 shared paper)Patrick van der Smagt (3 shared papers)
- Journals
- BMC Genomics (1 paper)Science (1 paper)NeuroImage (1 paper)IEEE Transactions on Robotics (1 paper)Journal of Machine Learning Research (1 paper)
- Partner nations
- NetherlandsUnited KingdomGermany
In The Last Decade
Botond Cseke
15 papers receiving 640 citations
Botond Cseke's Hit Papers
Peers
Comparison fields: 5 of 130
- Computer Vision and Pattern Recognition 173
- Computational Mathematics 5
- Statistics and Probability 62
- Artificial Intelligence 213
- Cognitive Neuroscience 72
Countries citing papers authored by Botond Cseke
This map shows the geographic impact of Botond Cseke's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Botond Cseke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Botond Cseke more than expected).
Fields of papers citing papers by Botond Cseke
This network shows the impact of papers produced by Botond Cseke. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Botond Cseke. The network helps show where Botond Cseke may publish in the future.
Co-authors
The 19 scholars most cited alongside Botond Cseke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Advances in Neural Information Processing Systems 26 (NIPS 2013) Hit paper breakdown → | 2013 | 351 |
| 2 | 2016 | 81 | |
| 3 | 2009 | 71 | |
| 4 | 2021 | 34 | |
| 5 | Approximate Marginals in Latent Gaussian Models | 2011 | 26 |
| 6 | 2013 | 24 | |
| 7 | Bayesian Source Localization with the Multivariate Laplace Prior | 2009 | 24 |
| 8 | Continual Learning with Bayesian Neural Networks for Non-Stationary Data | 2020 | 16 |
| 9 | Discussion of ``Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations'' by H. Rue, S. Martino and N. Chopin | 2009 | 6 |
| 10 | Improving posterior marginal approximations in latent Gaussian models | 2010 | 6 |
| 11 | Approximate inference in latent Gaussian-Markov models from continuous time observations | 2013 | 5 |
| 12 | 2017 | 5 | |
| 13 | 2015 | 5 | |
| 14 | 2012 | 2 | |
| 15 | Sparse approximations in spatio-temporal point-process models | 2013 | 1 |
| 16 | Kernel Principal Component Ranking: Robust Ranking on Noisy Data | 2009 | 0 |
| 17 | 2026 | 0 |
About Botond Cseke
Botond Cseke is a scholar working on Artificial Intelligence, Statistics and Probability, Molecular Biology, Signal Processing and Control and Systems Engineering, having authored 17 papers that have together received 657 indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (6 papers), Statistical Methods and Bayesian Inference (4 papers), Bayesian Methods and Mixture Models (4 papers), Bayesian Modeling and Causal Inference (3 papers), Neural Networks and Applications (2 papers), Statistical Methods and Inference (2 papers), Blind Source Separation Techniques (2 papers) and Point processes and geometric inequalities (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (173 citations), Computational Mathematics (5 citations), Statistics and Probability (62 citations), Artificial Intelligence (213 citations) and Cognitive Neuroscience (72 citations). Botond Cseke has collaborated with scholars based in Netherlands, United Kingdom and Germany. Frequent co-authors include Guido Sanguinetti, Manfred Opper, Tom Heskes, Marcel van Gerven, Floris P. de Lange, David Tollervey, Grzegorz Kudla, Patrick van der Smagt, Alexandros Paraschos and F. Frank. Their work appears in journals such as BMC Genomics, Science, NeuroImage, IEEE Transactions on Robotics and Journal of Machine Learning Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.