Ivan Kobyzev
Impact in
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- Generative Adversarial Networks and Image Synthesis
- Advanced Image Processing Techniques
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
- Gaussian Processes and Bayesian Inference
- Topic Modeling
Papers in
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- Topic Modeling 7
- Natural Language Processing Techniques 5
- Domain Adaptation and Few-Shot Learning 4
- Speech Recognition and Synthesis 2
- Gaussian Processes and Bayesian Inference 2
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- Multimodal Machine Learning Applications 3
- Generative Adversarial Networks and Image Synthesis 3
- Co-authors
- Marcus A. Brubaker (4 shared papers)Simon J. D. Prince (1 shared paper)Mehdi Rezagholizadeh (8 shared papers)Ali Ghodsi (4 shared papers)Yaoliang Yu (2 shared papers)Priyank Jaini (2 shared papers)Simon Prince (1 shared paper)Pascal Poupart (4 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)Symmetry Integrability and Geometry Methods and Applications (1 paper)Journal of Mathematical Sciences (1 paper)arXiv (Cornell University) (2 papers)
In The Last Decade
Ivan Kobyzev
12 papers receiving 665 citations
Ivan Kobyzev's Hit Papers
Peers
Comparison fields: 5 of 103
- Computer Vision and Pattern Recognition 187
- Artificial Intelligence 277
- Signal Processing 77
- Statistical and Nonlinear Physics 80
- Statistics, Probability and Uncertainty 36
Countries citing papers authored by Ivan Kobyzev
This map shows the geographic impact of Ivan Kobyzev'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 Ivan Kobyzev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Kobyzev more than expected).
Fields of papers citing papers by Ivan Kobyzev
This network shows the impact of papers produced by Ivan Kobyzev. 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 Ivan Kobyzev. The network helps show where Ivan Kobyzev may publish in the future.
Co-authors
The 19 scholars most cited alongside Ivan Kobyzev, 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 | Normalizing Flows: An Introduction and Review of Current Methods Hit paper breakdown → | 2020 | 616 |
| 2 | 2023 | 37 | |
| 3 | Relational Representation Learning for Dynamic (Knowledge) Graphs: A Survey. | 2019 | 10 |
| 4 | Tails of Lipschitz Triangular Flows | 2020 | 8 |
| 5 | Normalizing Flows: Introduction and Ideas. | 2019 | 8 |
| 6 | 2022 | 4 | |
| 7 | 2022 | 2 | |
| 8 | Tails of Triangular Flows. | 2019 | 2 |
| 9 | 2023 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2018 | 1 | |
| 12 | 2019 | 1 | |
| 13 | 2024 | 0 | |
| 14 | 2023 | 0 | |
| 15 | 2024 | 0 | |
| 16 | 2013 | 0 |
About Ivan Kobyzev
Ivan Kobyzev is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Mathematical Physics, Geometry and Topology and Molecular Biology, having authored 16 papers that have together received 691 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Multimodal Machine Learning Applications (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Algebraic structures and combinatorial models (2 papers), Speech Recognition and Synthesis (2 papers) and Gaussian Processes and Bayesian Inference (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (187 citations), Artificial Intelligence (277 citations), Signal Processing (77 citations), Statistical and Nonlinear Physics (80 citations) and Statistics, Probability and Uncertainty (36 citations). Ivan Kobyzev has collaborated with scholars based in Canada, Sweden and Ireland. Frequent co-authors include Marcus A. Brubaker, Simon J. D. Prince, Mehdi Rezagholizadeh, Ali Ghodsi, Yaoliang Yu, Priyank Jaini, Simon Prince, Pascal Poupart, Peng Lu and Seyed Mehran Kazemi. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Symmetry Integrability and Geometry Methods and Applications, Journal of Mathematical Sciences and arXiv (Cornell University).
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.