Corentin Tallec

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 26

Top Venues

CoRR

ICML

NeurIPS

ICLR

University of Paris-Saclay, France (PHD)

Education History

University of Paris-Saclay, France

PHD

Publications

Daniel Jarrett, Corentin Tallec, Florent Altché, Thomas Mesnard, Rémi Munos, Michal Valko
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments. ICML (2023)
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
BYOL-Explore: Exploration by Bootstrapped Prediction. NeurIPS (2022)
Mathieu Rita, Corentin Tallec, Paul Michel, Jean-Bastien Grill, Olivier Pietquin, Emmanuel Dupoux, Florian Strub
Emergent Communication: Generalization and Overfitting in Lewis Games. NeurIPS (2022)
Zhaohan Daniel 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
BYOL-Explore: Exploration by Bootstrapped Prediction. CoRR (2022)
Daniel Jarrett, Corentin Tallec, Florent Altché, Thomas Mesnard, Rémi Munos, Michal Valko
Curiosity in hindsight. CoRR (2022)
Rahma Chaabouni, Florian Strub, Florent Altché, Eugene Tarassov, Corentin Tallec, Elnaz Davoodi, Kory Wallace Mathewson, Olivier Tieleman, Angeliki Lazaridou, Bilal Piot
Emergent Communication at Scale. ICLR (2022)
Robin Strudel, Corentin Tallec, Florent Altché, Yilun Du, Yaroslav Ganin, Arthur Mensch, Will Grathwohl, Nikolay Savinov, Sander Dieleman, Laurent Sifre, Rémi Leblond
Self-conditioned Embedding Diffusion for Text Generation. CoRR (2022)
Shantanu Thakoor, Corentin Tallec, Mohammad Gheshlaghi Azar, Mehdi Azabou, Eva L. Dyer, Rémi Munos, Petar Velickovic, Michal Valko
Large-Scale Representation Learning on Graphs via Bootstrapping. ICLR (2022)
Mathieu Rita, Corentin Tallec, Paul Michel, Jean-Bastien Grill, Olivier Pietquin, Emmanuel Dupoux, Florian Strub
Emergent Communication: Generalization and Overfitting in Lewis Games. CoRR (2022)
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
Shaking the foundations: delusions in sequence models for interaction and control. CoRR (2021)
Shantanu Thakoor, Corentin Tallec, Mohammad Gheshlaghi Azar, Rémi Munos, Petar Velickovic, Michal Valko
Bootstrapped Representation Learning on Graphs. CoRR (2021)
Adrià Recasens, Pauline Luc, Jean-Baptiste Alayrac, Luyu Wang, Florian Strub, Corentin Tallec, Mateusz Malinowski, Viorica Patraaucean, Florent Altché, Michal Valko, Jean-Bastien Grill, Aäron van den Oord, Andrew Zisserman
Broaden Your Views for Self-Supervised Video Learning. ICCV (2021)
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
Broaden Your Views for Self-Supervised Video Learning. CoRR (2021)
Léonard Blier, Corentin Tallec, Yann Ollivier
Learning Successor States and Goal-Dependent Values: A Mathematical Viewpoint. CoRR (2021)
Jean-Bastien Grill, Florian Strub, Florent Altché, Corentin Tallec, Pierre H. Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Ávila Pires, Zhaohan Daniel Guo, Mohammad Gheshlaghi Azar, Bilal Piot, Koray Kavukcuoglu, Rémi Munos, Michal Valko
Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning. CoRR (2020)
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
BYOL works even without batch statistics. CoRR (2020)
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
Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning. NeurIPS (2020)
Corentin Tallec, Léonard Blier, Yann Ollivier
Making Deep Q-learning methods robust to time discretization. CoRR (2019)
Corentin Tallec, Léonard Blier, Yann Ollivier
Making Deep Q-learning methods robust to time discretization. ICML (2019)
Corentin Tallec, Yann Ollivier
Can recurrent neural networks warp time? ICLR (Poster) (2018)
Thomas Lucas, Corentin Tallec, Jakob Verbeek, Yann Ollivier
Mixed batches and symmetric discriminators for GAN training. CoRR (2018)
Thomas Lucas, Corentin Tallec, Yann Ollivier, Jakob Verbeek
Mixed batches and symmetric discriminators for GAN training. ICML (2018)
Corentin Tallec, Yann Ollivier
Can recurrent neural networks warp time? CoRR (2018)
Corentin Tallec, Yann Ollivier
Unbiased Online Recurrent Optimization. ICLR (Poster) (2018)
Corentin Tallec, Yann Ollivier
Unbiasing Truncated Backpropagation Through Time. CoRR (2017)
Corentin Tallec, Yann Ollivier
Unbiased Online Recurrent Optimization. CoRR (2017)

Corentin Tallec.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Corentin Tallec