Corentin Tallec

Research Scientist, DeepMind

Joined

October 2020

Names

Corentin Tallec (Preferred)

Emails

****@google.com (Confirmed)

****@deepmind.com (Confirmed)

Personal Links

Google Scholar

Career & Education History

Research Scientist

DeepMind (deepmind.com)

2019 – Present

PhD student

UPSud/INRIA University Paris-Saclay (u-psud.fr)

2016 – 2019

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
Daniel Jarrett, Corentin Tallec, Florent Altché, Thomas Mesnard, Remi Munos, Michal Valko
- ICML 2023 Poster
- Readers: Everyone
Curiosity in Hindsight
Daniel Jarrett, Corentin Tallec, Florent Altché, Thomas Mesnard, Remi Munos, Michal Valko
- 08 Oct 2022 (modified: 05 May 2023)
- Deep RL Workshop 2022
- Readers: Everyone
Self-conditioned Embedding Diffusion for Text Generation
Robin Strudel, Corentin Tallec, Florent Altché, Yilun Du, Yaroslav Ganin, Arthur Mensch, Will Sussman Grathwohl, Nikolay Savinov, Sander Dieleman, Laurent Sifre, Rémi Leblond
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Emergent Communication: Generalization and Overfitting in Lewis Games
Mathieu Rita, Corentin Tallec, Paul Michel, Jean-Bastien Grill, Olivier Pietquin, Emmanuel Dupoux, Florian Strub
- Published: 31 Oct 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Accept
- Readers: Everyone
Large-Scale Representation Learning on Graphs via Bootstrapping
Shantanu Thakoor, Corentin Tallec, Mohammad Gheshlaghi Azar, Mehdi Azabou, Eva L Dyer, Remi Munos, Petar Veličković, Michal Valko
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Poster
- Readers: Everyone
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
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Spotlight
- Readers: Everyone
Density-Based Bonuses on Learned Representations for Reward-Free Exploration in Deep Reinforcement Learning
Omar Darwiche Domingues, Corentin Tallec, Remi Munos, Michal Valko
- Published: 22 Jul 2021, Last Modified: 05 May 2023
- URL 2021 Poster
- Readers: Everyone
Bootstrapped Representation Learning on Graphs
Shantanu Thakoor, Corentin Tallec, Mohammad Gheshlaghi Azar, Remi Munos, Petar Veličković, Michal Valko
- Published: 01 Apr 2021, Last Modified: 12 Oct 2025
- GTRL 2021 Poster
- Readers: Everyone
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
- 2021 (modified: 25 Jan 2026)
- CoRR 2021
- Readers: Everyone
Learning Successor States and Goal-Dependent Values: A Mathematical Viewpoint
Léonard Blier, Corentin Tallec, Yann Ollivier
- 2021 (modified: 03 Nov 2022)
- CoRR 2021
- Readers: Everyone

View all 18 publications

Co-Authors

View all 54 co-authors