Laurent Sifre
Cited by
Cited by
Mastering the game of Go with deep neural networks and tree search
D Silver, A Huang, CJ Maddison, A Guez, L Sifre, G Van Den Driessche, ...
nature 529 (7587), 484-489, 2016
Mastering the game of go without human knowledge
D Silver, J Schrittwieser, K Simonyan, I Antonoglou, A Huang, A Guez, ...
nature 550 (7676), 354-359, 2017
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
D Silver, T Hubert, J Schrittwieser, I Antonoglou, M Lai, A Guez, M Lanctot, ...
Science 362 (6419), 1140-1144, 2018
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
Improved protein structure prediction using potentials from deep learning
AW Senior, R Evans, J Jumper, J Kirkpatrick, L Sifre, T Green, C Qin, ...
Nature 577 (7792), 706-710, 2020
Mastering chess and shogi by self-play with a general reinforcement learning algorithm
D Silver, T Hubert, J Schrittwieser, I Antonoglou, M Lai, A Guez, M Lanctot, ...
arXiv preprint arXiv:1712.01815, 2017
Mastering atari, go, chess and shogi by planning with a learned model
J Schrittwieser, I Antonoglou, T Hubert, K Simonyan, L Sifre, S Schmitt, ...
Nature 588 (7839), 604-609, 2020
Learning to navigate in complex environments
P Mirowski, R Pascanu, F Viola, H Soyer, A Ballard, A Banino, M Denil, ...
International Conference on Learning Representations (ICLR) 2017, 2017
Rigid-motion scattering for texture classification
L Sifre, S Mallat
arXiv preprint arXiv:1403.1687, 2014
Rotation, scaling and deformation invariant scattering for texture discrimination
L Sifre, S Mallat
Computer Vision and Pattern Recognition (CVPR) 2013, 1233-1240, 2013
Alphastar: Mastering the real-time strategy game starcraft ii
O Vinyals, I Babuschkin, J Chung, M Mathieu, M Jaderberg, ...
DeepMind blog 2, 2019
Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13)
AW Senior, R Evans, J Jumper, J Kirkpatrick, L Sifre, T Green, C Qin, ...
Proteins: Structure, Function, and Bioinformatics 87 (12), 1141-1148, 2019
Scaling language models: Methods, analysis & insights from training gopher
JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ...
arXiv preprint arXiv:2112.11446, 2021
De novo structure prediction with deeplearning based scoring
R Evans, J Jumper, J Kirkpatrick, L Sifre, T Green, C Qin, A Zidek, ...
Annu Rev Biochem 77 (363-382), 6, 2018
Improving language models by retrieving from trillions of tokens
S Borgeaud, A Mensch, J Hoffmann, T Cai, E Rutherford, K Millican, ...
arXiv preprint arXiv:2112.04426, 2021
Combined scattering for rotation invariant texture analysis
L Sifre, S Mallat
European Symposium on Artificial Neural Networks (ESANN) 2012, 2012
Generic Deep Networks with Wavelet Scattering
E Oyallon, S Mallat, L Sifre
International Conference on Learning Representations (ICLR) 2014 Workshop track, 2014
Muesli: Combining improvements in policy optimization
M Hessel, I Danihelka, F Viola, A Guez, S Schmitt, L Sifre, T Weber, ...
International Conference on Machine Learning, 4214-4226, 2021
Machine translation decoding beyond beam search
R Leblond, JB Alayrac, L Sifre, M Pislar, JB Lespiau, I Antonoglou, ...
arXiv preprint arXiv:2104.05336, 2021
J Andén, L Sifre, S Mallat, M Kapoko, V Lostanlen, E Oyallon
Computer Software, 2014
The system can't perform the operation now. Try again later.
Articles 1–20