Volgen
Rémi Leblond
Rémi Leblond
Research Scientist, DeepMind
Geverifieerd e-mailadres voor google.com - Homepage
Titel
Geciteerd door
Geciteerd door
Jaar
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
47042019
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
16122023
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
1132*2022
ASAGA: asynchronous parallel SAGA
R Leblond, F Pedregosa, S Lacoste-Julien
AISTATS 2017, 2016
1372016
Continuous diffusion for categorical data
S Dieleman, L Sartran, A Roshannai, N Savinov, Y Ganin, PH Richemond, ...
arXiv preprint arXiv:2211.15089, 2022
772022
Improved asynchronous parallel optimization analysis for stochastic incremental methods
R Leblond, F Pedregosa, S Lacoste-Julien
JMLR, 2018
762018
Machine Translation Decoding beyond Beam Search
R Leblond, JB Alayrac, L Sifre, M Pislar, JB Lespiau, I Antonoglou, ...
EMNLP 2021, 2021
662021
OPtions as REsponses: Grounding Behavioural Hierarchies in Multi-Agent Reinforcement Learning
A Vezhnevets, Y Wu, M Eckstein, R Leblond, JZ Leibo
ICML, 2020
542020
SEARNN: Training RNNs with global-local losses
R Leblond, JB Alayrac, A Osokin, S Lacoste-Julien
ICLR 2018, 2017
532017
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
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
222022
Cutoff phenomenon for the simple exclusion process on the complete graph
H Lacoin, R Leblond
ALEA 2011, 2010
202010
Asynchronous optimization for machine learning
R Leblond
Université Paris sciences et lettres, 2018
32018
Beam search decoding with forward-looking scores
DJ Donato, CJ Dyer, R Leblond
US Patent App. 18/401,120, 2024
2024
Discrete token processing using diffusion models
R Strudel, R Leblond, L Sifre, SEL Dieleman, N Savinov, WS Grathwohl, ...
US Patent App. 18/374,447, 2024
2024
Sequence-to sequence neural network systems using look ahead tree search
RBF Leblond, JB Alayrac, L Sifre, M Pîslar, JB Lespiau, I Antonoglou, ...
US Patent App. 18/274,748, 2024
2024
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
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–17