Thomas Pierrot

According to our database, Thomas Pierrot authored at least 26 papers between 2019 and 2024.

Collaborative distances:

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

2024

QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration.

Félix Chalumeau, Bryan Lim, Raphaël Boige, Maxime Allard, Luca Grillotti, Manon Flageat, Valentin Macé, Guillaume Richard, Arthur Flajolet, Thomas Pierrot, Antoine Cully

J. Mach. Learn. Res., 2024

Simple Guidance Mechanisms for Discrete Diffusion Models.

Yair Schiff, Subham Sekhar Sahoo, Hao Phung, Guanghan Wang, Sam Boshar, Hugo Dalla-torre, Bernardo P. de Almeida, Alexander Rush, Thomas Pierrot, Volodymyr Kuleshov

CoRR, 2024

Preference-Conditioned Gradient Variations for Multi-Objective Quality-Diversity.

Hannah Janmohamed, Maxence Faldor, Thomas Pierrot, Antoine Cully

CoRR, 2024

Multi-modal Transfer Learning between Biological Foundation Models.

Juan Jose Garau-Luis, Patrick Bordes, Liam Gonzalez, Masa Roller, Bernardo P. de Almeida, Lorenz Hexemer, Christopher Blum, Stefan Laurent, Jan Grzegorzewski, Maren Lang, Thomas Pierrot, Guillaume Richard

CoRR, 2024

Learning the Language of Protein Structure.

Benoit Gaujac, Jérémie Donà, Liviu Copoiu, Timothy Atkinson, Thomas Pierrot, Thomas D. Barrett

CoRR, 2024

PASTA: Pretrained Action-State Transformer Agents.

Raphaël Boige, Yannis Flet-Berliac, Lars C. P. M. Quaedvlieg, Arthur Flajolet, Guillaume Richard, Thomas Pierrot

RLJ, 2024

Multi-modal Transfer Learning between Biological Foundation Models.

Juan Jose Garau-Luis, Patrick Bordes, Liam Gonzalez, Masa Roller, Bernardo P. de Almeida, Christopher Blum, Lorenz Hexemer, Stefan Laurent, Maren Lang, Thomas Pierrot, Guillaume Richard

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Multi-Objective Quality-Diversity for Crystal Structure Prediction.

Hannah Janmohamed, Marta Wolinska, Shikha Surana, Thomas Pierrot, Aron Walsh, Antoine Cully

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023

Early computational detection of potential high-risk SARS-CoV-2 variants.

Karim Beguir, Marcin J. Skwark, Yunguan Fu, Thomas Pierrot, Nicolás López Carranza, Alexandre Laterre, Ibtissem Kadri, Abir Korched, Anna U. Lowegard, Bonny Gaby Lui, Bianca Sänger, Yunpeng Liu, Asaf Poran, Alexander Muik, Ugur Sahin

Comput. Biol. Medicine, March, 2023

QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration.

Félix Chalumeau, Bryan Lim, Raphaël Boige, Maxime Allard, Luca Grillotti, Manon Flageat, Valentin Macé, Arthur Flajolet, Thomas Pierrot, Antoine Cully

CoRR, 2023

PASTA: Pretrained Action-State Transformer Agents.

Raphaël Boige, Yannis Flet-Berliac, Arthur Flajolet, Guillaume Richard, Thomas Pierrot

CoRR, 2023

Evolving Populations of Diverse RL Agents with MAP-Elites.

Thomas Pierrot, Arthur Flajolet

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery.

Félix Chalumeau, Raphaël Boige, Bryan Lim, Valentin Macé, Maxime Allard, Arthur Flajolet, Antoine Cully, Thomas Pierrot

Proceedings of the Eleventh International Conference on Learning Representations, 2023

The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers.

Valentin Macé, Raphaël Boige, Félix Chalumeau, Thomas Pierrot, Guillaume Richard, Nicolas Perrin-Gilbert

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration.

Hannah Janmohamed, Thomas Pierrot, Antoine Cully

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces.

Raphaël Boige, Guillaume Richard, Jérémie Donà, Thomas Pierrot, Antoine Cully

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022

Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems.

Félix Chalumeau, Thomas Pierrot, Valentin Macé, Arthur Flajolet, Karim Beguir, Antoine Cully, Nicolas Perrin-Gilbert

CoRR, 2022

Fast Population-Based Reinforcement Learning on a Single Machine.

Arthur Flajolet, Claire Bizon Monroc, Karim Beguir, Thomas Pierrot

Proceedings of the International Conference on Machine Learning, 2022

Multi-objective quality diversity optimization.

Thomas Pierrot, Guillaume Richard, Karim Beguir, Antoine Cully

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Diversity policy gradient for sample efficient quality-diversity optimization.

Thomas Pierrot, Valentin Macé, Félix Chalumeau, Arthur Flajolet, Geoffrey Cideron, Karim Beguir, Antoine Cully, Olivier Sigaud, Nicolas Perrin-Gilbert

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2021

First-Order and Second-Order Variants of the Gradient Descent in a Unified Framework.

Thomas Pierrot, Nicolas Perrin-Gilbert, Olivier Sigaud

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

Designing a Prospective COVID-19 Therapeutic with Reinforcement Learning.

Marcin J. Skwark, Nicolás López Carranza, Thomas Pierrot, Joe Phillips, Slim Said, Alexandre Laterre, Amine Kerkeni, Ugur Sahin, Karim Beguir

CoRR, 2020

Offline Reinforcement Learning Hands-On.

Louis Monier, Jakub Kmec, Alexandre Laterre, Thomas Pierrot, Valentin Courgeau, Olivier Sigaud, Karim Beguir

CoRR, 2020

Learning Compositional Neural Programs for Continuous Control.

Thomas Pierrot, Nicolas Perrin, Feryal M. P. Behbahani, Alexandre Laterre, Olivier Sigaud, Karim Beguir, Nando de Freitas

CoRR, 2020

QD-RL: Efficient Mixing of Quality and Diversity in Reinforcement Learning.

Geoffrey Cideron, Thomas Pierrot, Nicolas Perrin, Karim Beguir, Olivier Sigaud

CoRR, 2020

2019

Learning Compositional Neural Programs with Recursive Tree Search and Planning.

Thomas Pierrot, Guillaume Ligner, Scott E. Reed, Olivier Sigaud, Nicolas Perrin, Alexandre Laterre, David Kas, Karim Beguir, Nando de Freitas

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019