Predicting Performance on Dichotomous Questions: Comparing Models for Large-Scale Adaptive Testing. - Jill-Jênn Vie; Fabrice Popineau; Jean-Bastien Grill; Eric Bruillard; Yolaine Bourda (EDM, 2015)

Black-box optimization of noisy functions with unknown smoothness. - Jean-Bastien Grill; Michal Valko; Rémi Munos (NIPS, 2015)

Blazing the trails before beating the path: Sample-efficient Monte-Carlo planning. - Jean-Bastien Grill; Michal Valko; Rémi Munos (NIPS, 2016)

Optimistic optimization of a Brownian. - Jean-Bastien Grill; Michal Valko; Rémi Munos (NeurIPS, 2018)

Planning in entropy-regularized Markov decision processes and games. - Jean-Bastien Grill; Omar Darwiche Domingues; Pierre Ménard; Rémi Munos; Michal Valko (NeurIPS, 2019)

World Discovery Models. - Mohammad Gheshlaghi Azar; Bilal Piot; Bernardo A. Pires; Jean-Bastien Grill; Florent Altché; Rémi Munos (CoRR, 2019)

Tree search applied to optimization and planning. (Exploration d'arbres appliquée à l'optimisation et à la prise de décision). - Jean-Bastien Grill (2019)

Monte-Carlo Tree Search as Regularized Policy Optimization. - Jean-Bastien Grill; Florent Altché; Yunhao Tang; Thomas Hubert; Michal Valko; Ioannis Antonoglou; Rémi Munos (ICML, 2020)

Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning. - Zhaohan Daniel Guo; Bernardo Ávila Pires; Bilal Piot; Jean-Bastien Grill; Florent Altché; Rémi Munos; Mohammad Gheshlaghi Azar (ICML, 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)

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)

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)

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

Stepping on the Edge: Curvature Aware Learning Rate Tuners. - Vincent Roulet; Atish Agarwala; Jean-Bastien Grill; Grzegorz Swirszcz; Mathieu Blondel; Fabian Pedregosa (NeurIPS, 2024)

Gemma 2: Improving Open Language Models at a Practical Size. - Morgane Rivière; Shreya Pathak; Pier Giuseppe Sessa; Cassidy Hardin; Surya Bhupatiraju; Léonard Hussenot; Thomas Mesnard; Bobak Shahriari; Alexandre Ramé; Johan Ferret; Peter Liu; Pouya Tafti; et al. (CoRR, 2024)

Gemma 3 Technical Report. - Aishwarya Kamath; Johan Ferret; Shreya Pathak; Nino Vieillard; Ramona Merhej; Sarah Perrin; Tatiana Matejovicova; Alexandre Ramé; Morgane Rivière; Louis Rouillard; Thomas Mesnard; Geoffrey Cideron; et al. (CoRR, 2025)

MedGemma Technical Report. - Andrew Sellergren; Sahar Kazemzadeh; Tiam Jaroensri; Atilla P. Kiraly; Madeleine Traverse; Timo Kohlberger; Shawn Xu; Fayaz Jamil; Cían Hughes; Charles Lau; Justin Chen; Fereshteh Mahvar; et al. (CoRR, 2025)