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Rémi Leblond
Rémi Leblond
Research Scientist, DeepMind
在 google.com 的电子邮件经过验证 - 首页
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年份
Grandmaster level in StarCraft II using multi-agent reinforcement learning
O Vinyals, I Babuschkin, WM Czarnecki, M Mathieu, A Dudzik, J Chung, ...
Nature 575 (7782), 350-354, 2019
39592019
Competition-level code generation with alphacode
Y Li, D Choi, J Chung, N Kushman, J Schrittwieser, R Leblond, T Eccles, ...
Science 378 (6624), 1092-1097, 2022
724*2022
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
2112023
ASAGA: asynchronous parallel SAGA
R Leblond, F Pedregosa, S Lacoste-Julien
AISTATS 2017, 2016
1372016
Improved asynchronous parallel optimization analysis for stochastic incremental methods
R Leblond, F Pedregosa, S Lacoste-Julien
JMLR, 2018
712018
Machine Translation Decoding beyond Beam Search
R Leblond, JB Alayrac, L Sifre, M Pislar, JB Lespiau, I Antonoglou, ...
EMNLP 2021, 2021
592021
SEARNN: Training RNNs with global-local losses
R Leblond, JB Alayrac, A Osokin, S Lacoste-Julien
ICLR 2018, 2017
502017
Continuous diffusion for categorical data
S Dieleman, L Sartran, A Roshannai, N Savinov, Y Ganin, PH Richemond, ...
arXiv preprint arXiv:2211.15089, 2022
492022
Breaking the nonsmooth barrier: A scalable parallel method for composite optimization
F Pedregosa, R Leblond, S Lacoste-Julien
Advances in Neural Information Processing Systems 30, 2017
472017
OPtions as REsponses: Grounding Behavioural Hierarchies in Multi-Agent Reinforcement Learning
A Vezhnevets, Y Wu, M Eckstein, R Leblond, JZ Leibo
ICML, 2020
302020
Options as responses: Grounding behavioural hierarchies in multi-agent RL
AS Vezhnevets, Y Wu, R Leblond, JZ Leibo
arXiv preprint arXiv:1906.01470, 2019
182019
Cutoff phenomenon for the simple exclusion process on the complete graph
H Lacoin, R Leblond
ALEA 2011, 2010
172010
Self-conditioned embedding diffusion for text generation
R Strudel, C Tallec, F Altché, Y Du, Y Ganin, A Mensch, W Grathwohl, ...
arXiv preprint arXiv:2211.04236, 2022
162022
Asynchronous optimization for machine learning
R Leblond
Paris Sciences et Lettres (ComUE), 2018
22018
Computer code generation from task descriptions using neural networks
Y Li, DH Choi, J Chung, NA Kushman, J Schrittwieser, R Leblond, ...
US Patent App. 18/105,211, 2023
2023
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