Corentin Tallec

According to our database, Corentin Tallec authored at least 19 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments.

Daniel Jarrett, Corentin Tallec, Florent Altché, Thomas Mesnard, Rémi Munos, Michal Valko

Proceedings of the International Conference on Machine Learning, 2023

2022

Curiosity in hindsight.

Daniel Jarrett, Corentin Tallec, Florent Altché, Thomas Mesnard, Rémi Munos, Michal Valko

CoRR, 2022

Self-conditioned Embedding Diffusion for Text Generation.

Robin Strudel, Corentin Tallec, Florent Altché, Yilun Du, Yaroslav Ganin, Arthur Mensch, Will Grathwohl, Nikolay Savinov, Sander Dieleman, Laurent Sifre, Rémi Leblond

CoRR, 2022

Emergent Communication: Generalization and Overfitting in Lewis Games.

Mathieu Rita, Corentin Tallec, Paul Michel, Jean-Bastien Grill, Olivier Pietquin, Emmanuel Dupoux, Florian Strub

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

BYOL-Explore: Exploration by Bootstrapped Prediction.

Zhaohan Guo, Shantanu Thakoor, Miruna Pislar, Bernardo Ávila Pires, Florent Altché, Corentin Tallec, Alaa Saade, Daniele Calandriello, Jean-Bastien Grill, Yunhao Tang, Michal Valko, Rémi Munos, Mohammad Gheshlaghi Azar, Bilal Piot

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Large-Scale Representation Learning on Graphs via Bootstrapping.

Shantanu Thakoor, Corentin Tallec, Mohammad Gheshlaghi Azar, Mehdi Azabou, Eva L. Dyer, Rémi Munos, Petar Velickovic, Michal Valko

Proceedings of the Tenth International Conference on Learning Representations, 2022

Emergent Communication at Scale.

Rahma Chaabouni, Florian Strub, Florent Altché, Eugene Tarassov, Corentin Tallec, Elnaz Davoodi, Kory Wallace Mathewson, Olivier Tieleman, Angeliki Lazaridou, Bilal Piot

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Shaking the foundations: delusions in sequence models for interaction and control.

Pedro A. Ortega, Markus Kunesch, Grégoire Delétang, Tim Genewein, Jordi Grau-Moya, Joel Veness, Jonas Buchli, Jonas Degrave, Bilal Piot, Julien Pérolat, Tom Everitt, Corentin Tallec, Emilio Parisotto, Tom Erez, Yutian Chen, Scott E. Reed, Marcus Hutter, Nando de Freitas, Shane Legg

CoRR, 2021

Bootstrapped Representation Learning on Graphs.

Shantanu Thakoor, Corentin Tallec, Mohammad Gheshlaghi Azar, Rémi Munos, Petar Velickovic, Michal Valko

CoRR, 2021

Learning Successor States and Goal-Dependent Values: A Mathematical Viewpoint.

Léonard Blier, Corentin Tallec, Yann Ollivier

CoRR, 2021

Broaden Your Views for Self-Supervised Video Learning.

Adrià Recasens, Pauline Luc, Jean-Baptiste Alayrac, Luyu Wang, Florian Strub, Corentin Tallec, Mateusz Malinowski, Viorica Patraucean, Florent Altché, Michal Valko, Jean-Bastien Grill, Aäron van den Oord, Andrew Zisserman

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

BYOL works even without batch statistics.

Pierre H. Richemond, Jean-Bastien Grill, Florent Altché, Corentin Tallec, Florian Strub, Andrew Brock, Samuel L. Smith, Soham De, Razvan Pascanu, Bilal Piot, Michal Valko

CoRR, 2020

Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning.

Jean-Bastien Grill, Florian Strub, Florent Altché, Corentin Tallec, Pierre H. Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Ávila Pires, Zhaohan Guo, Mohammad Gheshlaghi Azar, Bilal Piot, Koray Kavukcuoglu, Rémi Munos, Michal Valko

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Recurrent Neural Networks and Reinforcement Learning: Dynamic Approaches. (Réseaux Récurrents et Apprentissage par Renforcement: Approches Dynamiques).

Corentin Tallec

PhD thesis, 2019

Making Deep Q-learning methods robust to time discretization.

Corentin Tallec, Léonard Blier, Yann Ollivier

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Mixed batches and symmetric discriminators for GAN training.

Thomas Lucas, Corentin Tallec, Yann Ollivier, Jakob Verbeek

Proceedings of the 35th International Conference on Machine Learning, 2018

Can recurrent neural networks warp time?

Corentin Tallec, Yann Ollivier

Proceedings of the 6th International Conference on Learning Representations, 2018

Unbiased Online Recurrent Optimization.

Corentin Tallec, Yann Ollivier

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Unbiasing Truncated Backpropagation Through Time.

Corentin Tallec, Yann Ollivier

CoRR, 2017