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Corentin Tallec
Corentin Tallec
DeepMind
Verified email at google.com
Title
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Cited by
Year
Bootstrap your own latent-a new approach to self-supervised learning
JB Grill, F Strub, F Altché, C Tallec, P Richemond, E Buchatskaya, ...
Advances in neural information processing systems 33, 21271-21284, 2020
60702020
koray kavukcuoglu, Remi Munos, and Michal Valko. Bootstrap your own latent-a new approach to self-supervised learning
JB Grill, F Strub, F Altché, C Tallec, P Richemond, E Buchatskaya, ...
Advances in neural information processing systems 33, 21271-21284, 2020
4522020
Bootstrapped representation learning on graphs
S Thakoor, C Tallec, MG Azar, R Munos, P Veličković, M Valko
ICLR 2021 Workshop on Geometrical and Topological Representation Learning, 2021
2052021
Large-scale representation learning on graphs via bootstrapping
S Thakoor, C Tallec, MG Azar, M Azabou, EL Dyer, R Munos, P Veličković, ...
arXiv preprint arXiv:2102.06514, 2021
1932021
Can recurrent neural networks warp time?
C Tallec, Y Ollivier
arXiv preprint arXiv:1804.11188, 2018
1602018
Broaden your views for self-supervised video learning
A Recasens, P Luc, JB Alayrac, L Wang, F Strub, C Tallec, M Malinowski, ...
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
1292021
Creating artificial human genomes using generative neural networks
B Yelmen, A Decelle, L Ongaro, D Marnetto, C Tallec, F Montinaro, ...
PLoS genetics 17 (2), e1009303, 2021
1032021
Unbiased online recurrent optimization
C Tallec, Y Ollivier
arXiv preprint arXiv:1702.05043, 2017
952017
Byol works even without batch statistics
PH Richemond, JB Grill, F Altché, C Tallec, F Strub, A Brock, S Smith, ...
arXiv preprint arXiv:2010.10241, 2020
932020
Making deep q-learning methods robust to time discretization
C Tallec, L Blier, Y Ollivier
International Conference on Machine Learning, 6096-6104, 2019
932019
Unbiasing truncated backpropagation through time
C Tallec, Y Ollivier
arXiv preprint arXiv:1705.08209, 2017
852017
Byol-explore: Exploration by bootstrapped prediction
Z Guo, S Thakoor, M Pîslar, B Avila Pires, F Altché, C Tallec, A Saade, ...
Advances in neural information processing systems 35, 31855-31870, 2022
582022
Emergent communication at scale
R Chaabouni, F Strub, F Altché, E Tarassov, C Tallec, E Davoodi, ...
International conference on learning representations, 2022
562022
Training recurrent networks online without backtracking
Y Ollivier, C Tallec, G Charpiat
arXiv preprint arXiv:1507.07680, 2015
522015
Shaking the foundations: delusions in sequence models for interaction and control
PA Ortega, M Kunesch, G Delétang, T Genewein, J Grau-Moya, J Veness, ...
arXiv preprint arXiv:2110.10819, 2021
482021
Mixed batches and symmetric discriminators for GAN training
T Lucas, C Tallec, Y Ollivier, J Verbeek
International Conference on Machine Learning, 2844-2853, 2018
432018
Learning successor states and goal-dependent values: A mathematical viewpoint
L Blier, C Tallec, Y Ollivier
arXiv preprint arXiv:2101.07123, 2021
262021
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
212022
Emergent communication: Generalization and overfitting in lewis games
M Rita, C Tallec, P Michel, JB Grill, O Pietquin, E Dupoux, F Strub
Advances in neural information processing systems 35, 1389-1404, 2022
172022
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
D Jarrett, C Tallec, F Altché, T Mesnard, R Munos, M Valko
arXiv preprint arXiv:2211.10515, 2022
122022
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Articles 1–20