2026 Sylvain Gelly: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	45	6967	6765	3046	2931	114	33046

Overview

Sylvain Gelly is affiliated with Google in the United States and has published extensively in the field of computer science. Their research contributions span various subfields, with a focus on artificial intelligence, computer vision and pattern recognition, and interdisciplinary areas such as economics and radiology.

The research topics explored by Sylvain Gelly include:

Domain Adaptation and Few-Shot Learning
Adversarial Robustness in Machine Learning
Multimodal Machine Learning Applications
Advanced Neural Network Applications
Machine Learning and Data Classification
Digital Media Forensic Detection
Reinforcement Learning in Robotics

Frequent coauthors in their collaborative work include:

Olivier Bachem
Neil Houlsby
Mario Lučić
Xiaohua Zhai
Francesco Locatello

Their publication record features several prominent venues, notably:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
Lecture notes in computer science
Neural Networks

Key recent papers include:

"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale," 2020, arXiv (Cornell University)
"Big Transfer (BiT): General Visual Representation Learning," 2020, Lecture notes in computer science
"What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study," 2020, arXiv (Cornell University)
"Google Research Football: A Novel Reinforcement Learning Environment," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
"Predicting Neural Network Accuracy from Weights," 2020, arXiv (Cornell University)

Best Publications

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Alexey Dosovitskiy;Lucas Beyer;Alexander Kolesnikov;Dirk Weissenborn

21436
Citations
Parameter-Efficient Transfer Learning for NLP

Neil Houlsby;Andrei Giurgiu;Stanisław Kamil Jastrzębski;Bruna Halila Morrone

1223
Citations
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

Francesco Locatello;Stefan Bauer;Mario Lučić;Gunnar Rätsch

898
Citations
Big Transfer (BiT): General Visual Representation Learning

Alexander Kolesnikov;Lucas Beyer;Xiaohua Zhai;Joan Puigcerver

881
Citations
Are GANs Created Equal? A Large-Scale Study

Mario Lucic;Karol Kurach;Marcin Michalski;Sylvain Gelly

835
Citations
Combining online and offline knowledge in UCT

Sylvain Gelly;David Silver

763
Citations
Wasserstein Auto-Encoders

Ilya O. Tolstikhin;Olivier Bousquet;Sylvain Gelly;Bernhard Schölkopf

645
Citations
Modiﬁcation of UCT with Patterns in Monte-Carlo Go

Sylvain Gelly;Yizao Wang;Rémi Munos;Olivier Teytaud

521
Citations
Monte-Carlo tree search and rapid action value estimation in computer Go

Sylvain Gelly;David Silver

478
Citations
Assessing Generative Models via Precision and Recall

Mehdi S. M. Sajjadi;Olivier Bachem;Mario Lucic;Olivier Bousquet

347
Citations
On Mutual Information Maximization for Representation Learning

Michael Tschannen;Josip Djolonga;Paul K. Rubenstein;Sylvain Gelly

313
Citations
The grand challenge of computer Go: Monte Carlo tree search and extensions

Sylvain Gelly;Levente Kocsis;Marc Schoenauer;Michèle Sebag

303
Citations
Wasserstein Auto-Encoders

Ilya Tolstikhin;Olivier Bousquet;Sylvain Gelly;Bernhard Schoelkopf

294
Citations
Exploration exploitation in Go: UCT for Monte-Carlo Go

Sylvain Gelly;Yizao Wang

287
Citations
Towards Accurate Generative Models of Video: A New Metric & Challenges

Thomas Unterthiner;Sjoerd van Steenkiste;Karol Kurach;Raphaël Marinier

250
Citations
Google Research Football: A Novel Reinforcement Learning Environment

Karol Kurach;Anton Raichuk;Piotr Michal Stanczyk;Michał Zając

247
Citations
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark

Xiaohua Zhai;Joan Puigcerver;Alexander Kolesnikov;Pierre Ruyssen

206
Citations
Episodic Curiosity through Reachability

Nikolay Savinov;Anton Raichuk;Raphaël Marinier;Damien Vincent

188
Citations
Modifications of UCT and sequence-like simulations for Monte-Carlo Go

Yizao Wang;S. Gelly

181
Citations
AdaGAN: Boosting Generative Models

Ilya O. Tolstikhin;Sylvain Gelly;Olivier Bousquet;Carl-Johann Simon-Gabriel

173
Citations
FVD: A new Metric for Video Generation

Thomas Unterthiner;Sjoerd van Steenkiste;Karol Kurach;Raphaël Marinier

35
Citations

Frequent Co-Authors

Mario Lucic Google (United States)

Olivier Bousquet Google (United States)

Xiaohua Zhai Google (United States)

Bernhard Schölkopf Max Planck Institute for Intelligent Systems

Alexander Kolesnikov OpenAI

Gunnar Rätsch ETH Zurich

Marc Schoenauer French Institute for Research in Computer Science and Automation - INRIA

Daniel Keysers Google (United States)

Michèle Sebag University of Paris-Saclay

David Silver DeepMind (United Kingdom)

External Links

Personal website of Sylvain Gelly Google Scholar page

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