Sylvain Gelly
Sylvain Gelly
Google Brain Zurich
Verified email at m4x.org
TitleCited byYear
Combining online and offline knowledge in UCT
S Gelly, D Silver
Proceedings of the 24th international conference on Machine learning, 273-280, 2007
6202007
Modification of UCT with patterns in Monte-Carlo Go
S Gelly, Y Wang, O Teytaud, MU Patterns, P Tao
4722006
Monte-Carlo tree search and rapid action value estimation in computer Go
S Gelly, D Silver
Artificial Intelligence 175 (11), 1856-1875, 2011
3022011
Exploration exploitation in go: UCT for Monte-Carlo go
S Gelly, Y Wang
NIPS: Neural Information Processing Systems Conference On-line trading of …, 2006
2562006
Exploration exploitation in go: UCT for Monte-Carlo go
S Gelly, Y Wang
NIPS: Neural Information Processing Systems Conference On-line trading of …, 2006
2562006
Wasserstein auto-encoders
I Tolstikhin, O Bousquet, S Gelly, B Schoelkopf
arXiv preprint arXiv:1711.01558, 2017
2492017
Are gans created equal? a large-scale study
M Lucic, K Kurach, M Michalski, S Gelly, O Bousquet
Advances in neural information processing systems, 700-709, 2018
2382018
The grand challenge of computer Go: Monte Carlo tree search and extensions
S Gelly, L Kocsis, M Schoenauer, M Sebag, D Silver, C Szepesvári, ...
Communications of the ACM 55 (3), 106-113, 2012
2162012
Achieving Master Level Play in 9 x 9 Computer Go.
S Gelly, D Silver
AAAI 8, 1537-1540, 2008
1472008
Modifications of UCT and sequence-like simulations for Monte-Carlo Go
Y Wang, S Gelly
2007 IEEE Symposium on Computational Intelligence and Games, 175-182, 2007
1462007
Adagan: Boosting generative models
IO Tolstikhin, S Gelly, O Bousquet, CJ Simon-Gabriel, B Schölkopf
Advances in Neural Information Processing Systems, 5424-5433, 2017
1142017
Challenging common assumptions in the unsupervised learning of disentangled representations
F Locatello, S Bauer, M Lucic, G Rätsch, S Gelly, B Schölkopf, O Bachem
arXiv preprint arXiv:1811.12359, 2018
672018
The gan landscape: Losses, architectures, regularization, and normalization
K Kurach, M Lucic, X Zhai, M Michalski, S Gelly
arXiv preprint arXiv:1807.04720, 2018
652018
Multi-armed bandit, dynamic environments and meta-bandits
C Hartland, S Gelly, N Baskiotis, O Teytaud, M Sebag
652006
On the parallelization of Monte-Carlo planning
S Gelly, JB Hoock, A Rimmel, O Teytaud, Y Kalemkarian
ICINCO, 2008
642008
On the parallelization of Monte-Carlo planning
S Gelly, JB Hoock, A Rimmel, O Teytaud, Y Kalemkarian
ICINCO, 2008
642008
General lower bounds for evolutionary algorithms
O Teytaud, S Gelly
Parallel Problem Solving from Nature-PPSN IX, 21-31, 2006
602006
From optimal transport to generative modeling: the VEGAN cookbook
O Bousquet, S Gelly, I Tolstikhin, CJ Simon-Gabriel, B Schoelkopf
arXiv preprint arXiv:1705.07642, 2017
552017
Assessing generative models via precision and recall
MSM Sajjadi, O Bachem, M Lucic, O Bousquet, S Gelly
Advances in Neural Information Processing Systems, 5228-5237, 2018
442018
Change point detection and meta-bandits for online learning in dynamic environments
C Hartland, N Baskiotis, S Gelly, M Sebag, O Teytaud
412007
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