Jean-Bastien Grill

According to our database1, Jean-Bastien Grill authored at least 14 papers between 2015 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Emergent Communication: Generalization and Overfitting in Lewis Games.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

BYOL-Explore: Exploration by Bootstrapped Prediction.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the role of population heterogeneity in emergent communication.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Broaden Your Views for Self-Supervised Video Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
BYOL works even without batch statistics.
CoRR, 2020

Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

Monte-Carlo Tree Search as Regularized Policy Optimization.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
World Discovery Models.
CoRR, 2019

Planning in entropy-regularized Markov decision processes and games.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Optimistic optimization of a Brownian.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016
Blazing the trails before beating the path: Sample-efficient Monte-Carlo planning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Black-box optimization of noisy functions with unknown smoothness.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Predicting Performance on Dichotomous Questions: Comparing Models for Large-Scale Adaptive Testing.
Proceedings of the 8th International Conference on Educational Data Mining, 2015


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