Hybrid Recommender System based on Autoencoders. - Florian Strub; Romaric Gaudel; Jérémie Mary (DLRS@RecSys, 2016)

Hybrid Collaborative Filtering with Neural Networks. - Florian Strub; Jérémie Mary; Romaric Gaudel (CoRR, 2016)

Learning Nash Equilibrium for General-Sum Markov Games from Batch Data. - Julien Pérolat; Florian Strub; Bilal Piot; Olivier Pietquin (AISTATS, 2017)

GuessWhat?! Visual Object Discovery through Multi-modal Dialogue. - Harm de Vries; Florian Strub; Sarath Chandar; Olivier Pietquin; Hugo Larochelle; Aaron C. Courville (CVPR, 2017)

End-to-end optimization of goal-driven and visually grounded dialogue systems. - Florian Strub; Harm de Vries; Jérémie Mary; Bilal Piot; Aaron C. Courville; Olivier Pietquin (IJCAI, 2017)

Modulating early visual processing by language. - Harm de Vries; Florian Strub; Jérémie Mary; Hugo Larochelle; Olivier Pietquin; Aaron C. Courville (NIPS, 2017)

Learning Visual Reasoning Without Strong Priors. - Ethan Perez; Harm de Vries; Florian Strub; Vincent Dumoulin; Aaron C. Courville (CoRR, 2017)

FiLM: Visual Reasoning with a General Conditioning Layer. - Ethan Perez; Florian Strub; Harm de Vries; Vincent Dumoulin; Aaron C. Courville (AAAI, 2018)

Visual Reasoning with Multi-hop Feature Modulation. - Florian Strub; Mathieu Seurin; Ethan Perez; Harm de Vries; Jérémie Mary; Philippe Preux; Aaron C. Courville; Olivier Pietquin (ECCV (5), 2018)

HoME: a Household Multimodal Environment. - Simon Brodeur; Ethan Perez; Ankesh Anand; Florian Golemo; Luca Celotti; Florian Strub; Jean Rouat; Hugo Larochelle; Aaron C. Courville (ICLR (Workshop), 2018)

Deep Reinforcement Learning and the Deadly Triad. - Hado van Hasselt; Yotam Doron; Florian Strub; Matteo Hessel; Nicolas Sonnerat; Joseph Modayil (CoRR, 2018)

Self-Educated Language Agent with Hindsight Experience Replay for Instruction Following. - Geoffrey Cideron; Mathieu Seurin; Florian Strub; Olivier Pietquin (ViGIL@NeurIPS, 2019)

Correction of Electron Back-scattered Diffraction datasets using an evolutionary algorithm. - Florian Strub; Marie-Agathe Charpagne; Tresa M. Pollock (CoRR, 2019)

Accurate reconstruction of EBSD datasets by a multimodal data approach using an evolutionary algorithm. - Marie-Agathe Charpagne; Florian Strub; Tresa M. Pollock (CoRR, 2019)

Supervised Seeded Iterated Learning for Interactive Language Learning. - Yuchen Lu; Soumye Singhal; Florian Strub; Olivier Pietquin; Aaron C. Courville (EMNLP (1), 2020)

Countering Language Drift with Seeded Iterated Learning. - Yuchen Lu; Soumye Singhal; Florian Strub; Aaron C. Courville; Olivier Pietquin (ICML, 2020)

A Machine of Few Words: Interactive Speaker Recognition with Reinforcement Learning. - Mathieu Seurin; Florian Strub; Philippe Preux; Olivier Pietquin (INTERSPEECH, 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; et al. (NeurIPS, 2020)

HIGhER: Improving instruction following with Hindsight Generation for Experience Replay. - Geoffrey Cideron; Mathieu Seurin; Florian Strub; Olivier Pietquin (SSCI, 2020)

The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction. - Alice Martin 001; Charles Ollion; Florian Strub; Sylvain Le Corff; Olivier Pietquin (CoRR, 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)

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)

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; et al. (ICCV, 2021)

Don't Do What Doesn't Matter: Intrinsic Motivation with Action Usefulness. - Mathieu Seurin; Florian Strub; Philippe Preux; Olivier Pietquin (IJCAI, 2021)

Learning Natural Language Generation from Scratch. - Alice Martin 001; Guillaume Quispe; Charles Ollion; Sylvain Le Corff; Florian Strub; Olivier Pietquin (CoRR, 2021)

Emergent Communication at Scale. - Rahma Chaabouni 001; Florian Strub; Florent Altché; Eugene Tarassov; Corentin Tallec; Elnaz Davoodi; Kory Wallace Mathewson; Olivier Tieleman; Angeliki Lazaridou; Bilal Piot (ICLR, 2022)

On the role of population heterogeneity in emergent communication. - Mathieu Rita; Florian Strub; Jean-Bastien Grill; Olivier Pietquin; Emmanuel Dupoux (ICLR, 2022)

Learning Natural Language Generation with Truncated Reinforcement Learning. - Alice Martin 001; Guillaume Quispe; Charles Ollion; Sylvain Le Corff; Florian Strub; Olivier Pietquin (NAACL-HLT, 2022)

Emergent Communication: Generalization and Overfitting in Lewis Games. - Mathieu Rita; Corentin Tallec; Paul Michel; Jean-Bastien Grill; Olivier Pietquin; Emmanuel Dupoux; Florian Strub (NeurIPS, 2022)

Developing, evaluating and scaling learning agents in multi-agent environments. - Ian Gemp; Thomas W. Anthony 001; Yoram Bachrach; Avishkar Bhoopchand; Kalesha Bullard; Jerome T. Connor; Vibhavari Dasagi; Bart De Vylder; Edgar A. Duéñez-Guzmán; Romuald Elie; Richard Everett 001; Daniel Hennes; et al. (AI Commun., 2022)

Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning. - Julien Pérolat; Bart De Vylder; Daniel Hennes; Eugene Tarassov; Florian Strub; Vincent de Boer; Paul Muller; Jerome T. Connor; Neil Burch; Thomas W. Anthony 001; Stephen McAleer; Romuald Elie; et al. (CoRR, 2022)

Over-communicate no more: Situated RL agents learn concise communication protocols. - Aleksandra Kalinowska; Elnaz Davoodi; Florian Strub; Kory W. Mathewson; Ivana Kajic; Michael Bowling; Todd D. Murphey; Patrick M. Pilarski (CoRR, 2022)

Figure Data for the paper "Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning". - Julien Pérolat; Bart De Vylder; Daniel Hennes; Eugene Tarassov; Florian Strub; Vincent de Boer; Paul Muller; Jerome T. Connor; Neil Burch; Thomas Anthony 001; Stephen McAleer; Romuald Elie; et al. (Zenodo, 2022)

SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations. - Matko Bosnjak; Pierre Harvey Richemond; Nenad Tomasev; Florian Strub; Jacob C. Walker; Felix Hill; Lars Holger Buesing; Razvan Pascanu; Charles Blundell; Jovana Mitrovic (ICLR, 2023)

The Edge of Orthogonality: A Simple View of What Makes BYOL Tick. - Pierre Harvey Richemond; Allison C. Tam; Yunhao Tang; Florian Strub; Bilal Piot; Felix Hill (ICML, 2023)

Language Model Alignment with Elastic Reset. - Michael Noukhovitch; Samuel Lavoie; Florian Strub; Aaron C. Courville (NeurIPS, 2023)

Countering Reward Over-Optimization in LLM with Demonstration-Guided Reinforcement Learning. - Mathieu Rita; Florian Strub; Rahma Chaabouni 001; Paul Michel; Emmanuel Dupoux; Olivier Pietquin (ACL (Findings), 2024)

Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion. - Yannis Flet-Berliac; Nathan Grinsztajn; Florian Strub; Eugene Choi; Bill Wu; Chris Cremer; Arash Ahmadian; Yash Chandak; Mohammad Gheshlaghi Azar; Olivier Pietquin; Matthieu Geist (EMNLP, 2024)

Language Evolution with Deep Learning. - Mathieu Rita; Paul Michel; Rahma Chaabouni 001; Olivier Pietquin; Emmanuel Dupoux; Florian Strub (CoRR, 2024)

Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion. - Yannis Flet-Berliac; Nathan Grinsztajn; Florian Strub; Eugene Choi; Chris Cremer; Arash Ahmadian; Yash Chandak; Mohammad Gheshlaghi Azar; Olivier Pietquin; Matthieu Geist (CoRR, 2024)

Averaging log-likelihoods in direct alignment. - Nathan Grinsztajn; Yannis Flet-Berliac; Mohammad Gheshlaghi Azar; Florian Strub; Bill Wu; Eugene Choi; Chris Cremer; Arash Ahmadian; Yash Chandak; Olivier Pietquin; Matthieu Geist (CoRR, 2024)

Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier. - 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; et al. (CoRR, 2024)

ShiQ: Bringing back Bellman to LLMs. - 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 (CoRR, 2025)

Sample, Predict, then Proceed: Self-Verification Sampling for Tool Use of LLMs. - Shangmin Guo; Omar Darwiche Domingues; Raphaël Avalos; Aaron C. Courville; Florian Strub (CoRR, 2025)