Pierre H. Richemond

According to our database, Pierre H. Richemond authored at least 17 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Human Alignment of Large Language Models through Online Preference Optimisation.

Daniele Calandriello, Daniel Guo, Rémi Munos, Mark Rowland, Yunhao Tang, Bernardo Ávila Pires, Pierre Harvey Richemond, Charline Le Lan, Michal Valko, Tianqi Liu, Rishabh Joshi, Zeyu Zheng, Bilal Piot

CoRR, 2024

Generalized Preference Optimization: A Unified Approach to Offline Alignment.

Yunhao Tang, Zhaohan Daniel Guo, Zeyu Zheng, Daniele Calandriello, Rémi Munos, Mark Rowland, Pierre Harvey Richemond, Michal Valko, Bernardo Ávila Pires, Bilal Piot

CoRR, 2024

2023

Understanding Self-Predictive Learning for Reinforcement Learning.

Yunhao Tang, Zhaohan Daniel Guo, Pierre Harvey Richemond, Bernardo Ávila Pires, Yash Chandak, Rémi Munos, Mark Rowland, Mohammad Gheshlaghi Azar, Charline Le Lan, Clare Lyle, András György, Shantanu Thakoor, Will Dabney, Bilal Piot, Daniele Calandriello, Michal Valko

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the International Conference on Machine Learning, 2023

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Continuous diffusion for categorical data.

Sander Dieleman, Laurent Sartran, Arman Roshannai, Nikolay Savinov, Yaroslav Ganin, Pierre H. Richemond, Arnaud Doucet, Robin Strudel, Chris Dyer, Conor Durkan, Curtis Hawthorne, Rémi Leblond, Will Grathwohl, Jonas Adler

CoRR, 2022

Categorical SDEs with Simplex Diffusion.

Pierre H. Richemond, Sander Dieleman, Arnaud Doucet

CoRR, 2022

Data Distributional Properties Drive Emergent In-Context Learning in Transformers.

Stephanie C. Y. Chan, Adam Santoro, Andrew K. Lampinen, Jane X. Wang, Aaditya K. Singh, Pierre H. Richemond, James L. McClelland, Felix Hill

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Zipfian Environments for Reinforcement Learning.

Stephanie C. Y. Chan, Andrew Kyle Lampinen, Pierre Harvey Richemond, Felix Hill

Proceedings of the Conference on Lifelong Learning Agents, 2022

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

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, Rémi Munos, Michal Valko

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Biologically inspired architectures for sample-efficient deep reinforcement learning.

Pierre H. Richemond, Arinbjörn Kolbeinsson, Yike Guo

CoRR, 2019

Static Activation Function Normalization.

Pierre H. Richemond, Yike Guo

CoRR, 2019

Combining learning rate decay and weight decay with complexity gradient descent - Part I.

Pierre H. Richemond, Yike Guo

CoRR, 2019

2017

A short variational proof of equivalence between policy gradients and soft Q learning.

Pierre H. Richemond, Brendan Maginnis

CoRR, 2017

On Wasserstein Reinforcement Learning and the Fokker-Planck equation.

Pierre H. Richemond, Brendan Maginnis

CoRR, 2017

Efficiently applying attention to sequential data with the Recurrent Discounted Attention unit.

Brendan Maginnis, Pierre H. Richemond

CoRR, 2017