Florian Strub

65 papers A* 14A 2Journal 39Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Sample, Predict, then Proceed: Self-Verification Sampling for Tool Use of LLMs.
CoRR
Shangmin Guo, Omar Darwiche Domingues, Raphaël Avalos, Aaron C. Courville, Florian Strub
2025 J jnl
ShiQ: Bringing back Bellman to LLMs.
CoRR
Pierre Clavier, Nathan Grinsztajn, Raphaël Avalos, Yannis Flet-Berliac, Irem Ergün, Omar Darwiche Domingues, Eugene Tarassov, Olivier Pietquin, Pierre H. Richemond, Florian Strub, Matthieu Geist
2024 J jnl
Averaging log-likelihoods in direct alignment.
CoRR
Nathan Grinsztajn, Yannis Flet-Berliac, Mohammad Gheshlaghi Azar, Florian Strub, Bill Wu, Eugene Choi, Chris Cremer, Arash Ahmadian, Yash Chandak, Olivier Pietquin, Matthieu Geist
2024 J jnl
Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier.
CoRR
John Dang, Shivalika Singh, Daniel D'souza, Arash Ahmadian, Alejandro Salamanca, Madeline Smith, Aidan Peppin, Sungjin Hong, Manoj Govindassamy, Terrence Zhao, Sandra Kublik, Meor Amer, Viraat Aryabumi, Jon Ander Campos, Yi Chern Tan, Tom Kocmi, Florian Strub, Nathan Grinsztajn, Yannis Flet-Berliac, Acyr Locatelli, Hangyu Lin, Dwarak Talupuru, Bharat Venkitesh, David Cairuz, Bowen Yang, Tim Chung, Wei-Yin Ko, Sylvie Shang Shi, Amir Shukayev, Sammie Bae, Aleksandra Piktus, Roman Castagné, Felipe Cruz-Salinas, Eddie Kim, Lucas Crawhall-Stein, Adrien Morisot, Sudip Roy, Phil Blunsom, Ivan Zhang, Aidan N. Gomez, Nick Frosst, Marzieh Fadaee, Beyza Ermis, Ahmet Üstün, Sara Hooker
2024 A* conf
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion.
EMNLP
Yannis Flet-Berliac, Nathan Grinsztajn, Florian Strub, Eugene Choi, Bill Wu, Chris Cremer, Arash Ahmadian, Yash Chandak, Mohammad Gheshlaghi Azar, Olivier Pietquin, Matthieu Geist
2024 J jnl
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion.
CoRR
Yannis Flet-Berliac, Nathan Grinsztajn, Florian Strub, Eugene Choi, Chris Cremer, Arash Ahmadian, Yash Chandak, Mohammad Gheshlaghi Azar, Olivier Pietquin, Matthieu Geist
2024 — conf
Countering Reward Over-Optimization in LLM with Demonstration-Guided Reinforcement Learning.
ACL (Findings)
Mathieu Rita, Florian Strub, Rahma Chaabouni, Paul Michel, Emmanuel Dupoux, Olivier Pietquin
2024 J jnl
Countering Reward Over-optimization in LLM with Demonstration-Guided Reinforcement Learning.
CoRR
Mathieu Rita, Florian Strub, Rahma Chaabouni, Paul Michel, Emmanuel Dupoux, Olivier Pietquin
2024 J jnl
Language Evolution with Deep Learning.
CoRR
Mathieu Rita, Paul Michel, Rahma Chaabouni, Olivier Pietquin, Emmanuel Dupoux, Florian Strub
2023 A* conf
Language Model Alignment with Elastic Reset.
NeurIPS
Michael Noukhovitch, Samuel Lavoie, Florian Strub, Aaron C. Courville
2023 J jnl
Language Model Alignment with Elastic Reset.
CoRR
Michael Noukhovitch, Samuel Lavoie, Florian Strub, Aaron C. Courville
2023 A* conf
SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations.
ICLR
Matko Bosnjak, Pierre Harvey Richemond, Nenad Tomasev, Florian Strub, Jacob C. Walker, Felix Hill, Lars Holger Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic
2023 J jnl
SemPPL: Predicting pseudo-labels for better contrastive representations.
CoRR
Matko Bosnjak, Pierre H. Richemond, Nenad Tomasev, Florian Strub, Jacob C. Walker, Felix Hill, Lars Holger Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic
2023 A* conf
The Edge of Orthogonality: A Simple View of What Makes BYOL Tick.
ICML
Pierre Harvey Richemond, Allison C. Tam, Yunhao Tang, Florian Strub, Bilal Piot, Felix Hill
2023 J jnl
The Edge of Orthogonality: A Simple View of What Makes BYOL Tick.
CoRR
Pierre H. Richemond, Allison C. Tam, Yunhao Tang, Florian Strub, Bilal Piot, Felix Hill
2022 J jnl
Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments.
CoRR
Ian Gemp, Thomas W. Anthony, Yoram Bachrach, Avishkar Bhoopchand, Kalesha Bullard, Jerome T. Connor, Vibhavari Dasagi, Bart De Vylder, Edgar A. Duéñez-Guzmán, Romuald Elie, Richard Everett, Daniel Hennes, Edward Hughes, Mina Khan, Marc Lanctot, Kate Larson, Guy Lever, Siqi Liu, Luke Marris, Kevin R. McKee, Paul Muller, Julien Pérolat, Florian Strub, Andrea Tacchetti, Eugene Tarassov, Zhe Wang, Karl Tuyls
2022 J jnl
Developing, evaluating and scaling learning agents in multi-agent environments.
AI Commun.
Ian Gemp, Thomas W. Anthony, Yoram Bachrach, Avishkar Bhoopchand, Kalesha Bullard, Jerome T. Connor, Vibhavari Dasagi, Bart De Vylder, Edgar A. Duéñez-Guzmán, Romuald Elie, Richard Everett, Daniel Hennes, Edward Hughes, Mina Khan, Marc Lanctot, Kate Larson, Guy Lever, Siqi Liu, Luke Marris, Kevin R. McKee, Paul Muller, Julien Pérolat, Florian Strub, Andrea Tacchetti, Eugene Tarassov, Zhe Wang, Karl Tuyls
2022 A* conf
Emergent Communication at Scale.
ICLR
Rahma Chaabouni, Florian Strub, Florent Altché, Eugene Tarassov, Corentin Tallec, Elnaz Davoodi, Kory Wallace Mathewson, Olivier Tieleman, Angeliki Lazaridou, Bilal Piot
2022 A* conf
Emergent Communication: Generalization and Overfitting in Lewis Games.
NeurIPS
Mathieu Rita, Corentin Tallec, Paul Michel, Jean-Bastien Grill, Olivier Pietquin, Emmanuel Dupoux, Florian Strub
2022 J jnl
Emergent Communication: Generalization and Overfitting in Lewis Games.
CoRR
Mathieu Rita, Corentin Tallec, Paul Michel, Jean-Bastien Grill, Olivier Pietquin, Emmanuel Dupoux, Florian Strub
2022 — conf
Learning Natural Language Generation with Truncated Reinforcement Learning.
NAACL-HLT
Alice Martin, Guillaume Quispe, Charles Ollion, Sylvain Le Corff, Florian Strub, Olivier Pietquin
2022 J jnl
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning.
CoRR
Julien Pérolat, Bart De Vylder, Daniel Hennes, Eugene Tarassov, Florian Strub, Vincent de Boer, Paul Muller, Jerome T. Connor, Neil Burch, Thomas W. Anthony, Stephen McAleer, Romuald Elie, Sarah H. Cen, Zhe Wang, Audrunas Gruslys, Aleksandra Malysheva, Mina Khan, Sherjil Ozair, Finbarr Timbers, Toby Pohlen, Tom Eccles, Mark Rowland, Marc Lanctot, Jean-Baptiste Lespiau, Bilal Piot, Shayegan Omidshafiei, Edward Lockhart, Laurent Sifre, Nathalie Beauguerlange, Rémi Munos, David Silver, Satinder Singh, Demis Hassabis, Karl Tuyls
2022 A* conf
On the role of population heterogeneity in emergent communication.
ICLR
Mathieu Rita, Florian Strub, Jean-Bastien Grill, Olivier Pietquin, Emmanuel Dupoux
2022 J jnl
On the role of population heterogeneity in emergent communication.
CoRR
Mathieu Rita, Florian Strub, Jean-Bastien Grill, Olivier Pietquin, Emmanuel Dupoux
2022 J jnl
Over-communicate no more: Situated RL agents learn concise communication protocols.
CoRR
Aleksandra Kalinowska, Elnaz Davoodi, Florian Strub, Kory W. Mathewson, Ivana Kajic, Michael Bowling, Todd D. Murphey, Patrick M. Pilarski
2021 A* conf
Broaden Your Views for Self-Supervised Video Learning.
ICCV
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 J jnl
Broaden Your Views for Self-Supervised Video Learning.
CoRR
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 A* conf
Don't Do What Doesn't Matter: Intrinsic Motivation with Action Usefulness.
IJCAI
Mathieu Seurin, Florian Strub, Philippe Preux, Olivier Pietquin
2021 J jnl
Don't Do What Doesn't Matter: Intrinsic Motivation with Action Usefulness.
CoRR
Mathieu Seurin, Florian Strub, Philippe Preux, Olivier Pietquin
2021 J jnl
Learning Natural Language Generation from Scratch.
CoRR
Alice Martin, Guillaume Quispe, Charles Ollion, Sylvain Le Corff, Florian Strub, Olivier Pietquin
2020 J jnl
A Machine of Few Words - Interactive Speaker Recognition with Reinforcement Learning.
CoRR
Mathieu Seurin, Florian Strub, Philippe Preux, Olivier Pietquin
2020 A conf
A Machine of Few Words: Interactive Speaker Recognition with Reinforcement Learning.
INTERSPEECH
Mathieu Seurin, Florian Strub, Philippe Preux, Olivier Pietquin
2020 J jnl
BYOL works even without batch statistics.
CoRR
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
2020 A* conf
Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning.
NeurIPS
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
2020 J jnl
Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning.
CoRR
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
2020 A* conf
Countering Language Drift with Seeded Iterated Learning.
ICML
Yuchen Lu, Soumye Singhal, Florian Strub, Aaron C. Courville, Olivier Pietquin
2020 J jnl
Countering Language Drift with Seeded Iterated Learning.
CoRR
Yuchen Lu, Soumye Singhal, Florian Strub, Olivier Pietquin, Aaron C. Courville
2020 — conf
HIGhER: Improving instruction following with Hindsight Generation for Experience Replay.
SSCI
Geoffrey Cideron, Mathieu Seurin, Florian Strub, Olivier Pietquin
2020 — —
Multimodal and Interactive Models for Visually Grounded Language Learning. (Développement de modèles multimodaux intéractifs pour l'apprentissage du language dans des environnements visuels).
Florian Strub
2020 — conf
Supervised Seeded Iterated Learning for Interactive Language Learning.
EMNLP (1)
Yuchen Lu, Soumye Singhal, Florian Strub, Olivier Pietquin, Aaron C. Courville
2020 J jnl
Supervised Seeded Iterated Learning for Interactive Language Learning.
CoRR
Yuchen Lu, Soumye Singhal, Florian Strub, Olivier Pietquin, Aaron C. Courville
2020 J jnl
The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction.
CoRR
Alice Martin, Charles Ollion, Florian Strub, Sylvain Le Corff, Olivier Pietquin
2019 J jnl
Accurate reconstruction of EBSD datasets by a multimodal data approach using an evolutionary algorithm.
CoRR
Marie-Agathe Charpagne, Florian Strub, Tresa M. Pollock
2019 J jnl
Correction of Electron Back-scattered Diffraction datasets using an evolutionary algorithm.
CoRR
Florian Strub, Marie-Agathe Charpagne, Tresa M. Pollock
2019 J jnl
Self-Educated Language Agent With Hindsight Experience Replay For Instruction Following.
CoRR
Geoffrey Cideron, Mathieu Seurin, Florian Strub, Olivier Pietquin
2019 — conf
Self-Educated Language Agent with Hindsight Experience Replay for Instruction Following.
ViGIL@NeurIPS
Geoffrey Cideron, Mathieu Seurin, Florian Strub, Olivier Pietquin
2018 J jnl
Deep Reinforcement Learning and the Deadly Triad.
CoRR
Hado van Hasselt, Yotam Doron, Florian Strub, Matteo Hessel, Nicolas Sonnerat, Joseph Modayil
2018 A* conf
FiLM: Visual Reasoning with a General Conditioning Layer.
AAAI
Ethan Perez, Florian Strub, Harm de Vries, Vincent Dumoulin, Aaron C. Courville
2018 — conf
HoME: a Household Multimodal Environment.
ICLR (Workshop)
Simon Brodeur, Ethan Perez, Ankesh Anand, Florian Golemo, Luca Celotti, Florian Strub, Jean Rouat, Hugo Larochelle, Aaron C. Courville
2018 — conf
Visual Reasoning with Multi-hop Feature Modulation.
ECCV (5)
Florian Strub, Mathieu Seurin, Ethan Perez, Harm de Vries, Jérémie Mary, Philippe Preux, Aaron C. Courville, Olivier Pietquin
2018 J jnl
Visual Reasoning with Multi-hop Feature Modulation.
CoRR
Florian Strub, Mathieu Seurin, Ethan Perez, Harm de Vries, Jérémie Mary, Philippe Preux, Aaron C. Courville, Olivier Pietquin
2017 A* conf
End-to-end optimization of goal-driven and visually grounded dialogue systems.
IJCAI
Florian Strub, Harm de Vries, Jérémie Mary, Bilal Piot, Aaron C. Courville, Olivier Pietquin
2017 J jnl
End-to-end optimization of goal-driven and visually grounded dialogue systems.
CoRR
Florian Strub, Harm de Vries, Jérémie Mary, Bilal Piot, Aaron C. Courville, Olivier Pietquin
2017 J jnl
FiLM: Visual Reasoning with a General Conditioning Layer.
CoRR
Ethan Perez, Florian Strub, Harm de Vries, Vincent Dumoulin, Aaron C. Courville
2017 A* conf
GuessWhat?! Visual Object Discovery through Multi-modal Dialogue.
CVPR
Harm de Vries, Florian Strub, Sarath Chandar, Olivier Pietquin, Hugo Larochelle, Aaron C. Courville
2017 J jnl
HoME: a Household Multimodal Environment.
CoRR
Simon Brodeur, Ethan Perez, Ankesh Anand, Florian Golemo, Luca Celotti, Florian Strub, Jean Rouat, Hugo Larochelle, Aaron C. Courville
2017 A conf
Learning Nash Equilibrium for General-Sum Markov Games from Batch Data.
AISTATS
Julien Pérolat, Florian Strub, Bilal Piot, Olivier Pietquin
2017 J jnl
Learning Visual Reasoning Without Strong Priors.
CoRR
Ethan Perez, Harm de Vries, Florian Strub, Vincent Dumoulin, Aaron C. Courville
2017 — conf
Modulating early visual processing by language.
NIPS
Harm de Vries, Florian Strub, Jérémie Mary, Hugo Larochelle, Olivier Pietquin, Aaron C. Courville
2017 J jnl
Modulating early visual processing by language.
CoRR
Harm de Vries, Florian Strub, Jérémie Mary, Hugo Larochelle, Olivier Pietquin, Aaron C. Courville
2016 J jnl
GuessWhat?! Visual object discovery through multi-modal dialogue.
CoRR
Harm de Vries, Florian Strub, Sarath Chandar, Olivier Pietquin, Hugo Larochelle, Aaron C. Courville
2016 J jnl
Hybrid Collaborative Filtering with Neural Networks.
CoRR
Florian Strub, Jérémie Mary, Romaric Gaudel
2016 — conf
Hybrid Recommender System based on Autoencoders.
DLRS@RecSys
Florian Strub, Romaric Gaudel, Jérémie Mary
2016 J jnl
Hybrid Recommender System based on Autoencoders.
CoRR
Florian Strub, Jérémie Mary, Romaric Gaudel
2016 J jnl
Learning Nash Equilibrium for General-Sum Markov Games from Batch Data.
CoRR
Julien Pérolat, Florian Strub, Bilal Piot, Olivier Pietquin