Sylvain Gelly
Impact in
- Artificial Intelligence top 1%
- Artificial Intelligence in Games
- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
- Domain Adaptation and Few-Shot Learning
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- Generative Adversarial Networks and Image Synthesis
- Multimodal Machine Learning Applications
Papers in
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- Artificial Intelligence in Games 10
- Reinforcement Learning in Robotics 10
- Metaheuristic Optimization Algorithms Research 10
- Evolutionary Algorithms and Applications 7
- Domain Adaptation and Few-Shot Learning 6
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- Generative Adversarial Networks and Image Synthesis 9
- Co-authors
- David Silver (5 shared papers)Olivier Bousquet (6 shared papers)Olivier Teytaud (18 shared papers)Bernhard Schölkopf (4 shared papers)Ilya Tolstikhin (3 shared papers)Yizao Wang (2 shared papers)Rémi Munos (1 shared paper)Mario Lučić (9 shared papers)
- Journals
- Neural Networks (1 paper)Artificial Intelligence (1 paper)Evolutionary Computation (1 paper)Journal of Machine Learning Research (1 paper)Communications of the ACM (1 paper)
- Partner nations
- FranceUnited StatesChina
In The Last Decade
Sylvain Gelly
46 papers receiving 1.6k citations
Sylvain Gelly's Hit Papers
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 1.2k
- Computer Vision and Pattern Recognition 591
- Management Science and Operations Research 147
- Economics and Econometrics 311
- Signal Processing 98
Countries citing papers authored by Sylvain Gelly
This map shows the geographic impact of Sylvain Gelly'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 Sylvain Gelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sylvain Gelly more than expected).
Fields of papers citing papers by Sylvain Gelly
This network shows the impact of papers produced by Sylvain Gelly. 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 Sylvain Gelly. The network helps show where Sylvain Gelly may publish in the future.
Co-authors
The 25 scholars most cited alongside Sylvain Gelly, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 267 | |
| 2 | Wasserstein Auto-Encoders Hit paper breakdown → | 2018 | 262 |
| 3 | 2011 | 206 | |
| 4 | Modification of UCT with Patterns in Monte-Carlo Go | 2006 | 173 |
| 5 | An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale | 2021 | 143 |
| 6 | 2012 | 82 | |
| 7 | 2007 | 73 | |
| 8 | 2017 | 72 | |
| 9 | Achieving master level play in 9×9 computer go | 2008 | 70 |
| 10 | 2018 | 52 | |
| 11 | FVD: A new Metric for Video Generation | 2019 | 27 |
| 12 | What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study | 2021 | 26 |
| 13 | Large Scale Learning of General Visual Representations for Transfer. | 2019 | 26 |
| 14 | Change Point Detection and Meta-Bandits for Online Learning in Dynamic Environments | 2007 | 23 |
| 15 | The Visual Task Adaptation Benchmark | 2019 | 22 |
| 16 | On the Parallelization of Monte-Carlo planning | 2008 | 20 |
| 17 | High-Fidelity Image Generation With Fewer Labels | 2019 | 16 |
| 18 | On Mutual Information Maximization for Representation Learning | 2020 | 15 |
| 19 | On Self Modulation for Generative Adversarial Networks | 2018 | 14 |
| 20 | Combining Online and Offline Learning in UCT | 2007 | 14 |
About Sylvain Gelly
Sylvain Gelly is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Economics and Econometrics, Management Science and Operations Research and Signal Processing, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Artificial Intelligence in Games (10 papers), Reinforcement Learning in Robotics (10 papers), Metaheuristic Optimization Algorithms Research (10 papers), Generative Adversarial Networks and Image Synthesis (9 papers), Evolutionary Algorithms and Applications (7 papers), Sports Analytics and Performance (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Advanced Bandit Algorithms Research (5 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Computer Vision and Pattern Recognition (591 citations), Management Science and Operations Research (147 citations), Economics and Econometrics (311 citations) and Signal Processing (98 citations). Sylvain Gelly has collaborated with scholars based in France, United States and China. Frequent co-authors include David Silver, Olivier Bousquet, Olivier Teytaud, Bernhard Schölkopf, Ilya Tolstikhin, Yizao Wang, Rémi Munos, Mario Lučić, Neil Houlsby and Xiaohua Zhai. Their work appears in journals such as Neural Networks, Artificial Intelligence, Evolutionary Computation, Journal of Machine Learning Research and Communications of the ACM.
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.