Guillaume Richard

According to our database, Guillaume Richard authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• 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

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

PASTA: Pretrained Action-State Transformer Agents.

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

Proceedings of the 1st Reinforcement Learning Conference, 2024

2023

DT-DS: CAN Intrusion Detection with Decision Tree Ensembles.

Jarul Mehta, Guillaume Richard, Loren Lugosch, Derek Yu, Brett H. Meyer

ACM Trans. Cyber Phys. Syst., January, 2023

PASTA: Pretrained Action-State Transformer Agents.

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

CoRR, 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

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

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

2021

Transfer Learning methods for temporal data. (Méthodes d'apprentissage statistique de type « Transfer Learning » pour des données temporelles multivariées).

Guillaume Richard

PhD thesis, 2021

Unsupervised Domain Adaptation for Constraining Star Formation Histories.

Sankalp Gilda, Antoine de Mathelin, Sabine Bellstedt, Guillaume Richard

CoRR, 2021

ADAPT : Awesome Domain Adaptation Python Toolbox.

Antoine de Mathelin, François Deheeger, Guillaume Richard, Mathilde Mougeot, Nicolas Vayatis

CoRR, 2021

Adversarial Weighting for Domain Adaptation in Regression.

Antoine de Mathelin, Guillaume Richard, François Deheeger, Mathilde Mougeot, Nicolas Vayatis

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2020

Adversarial Weighting for Domain Adaptation in Regression.

Antoine de Mathelin, Guillaume Richard, Mathilde Mougeot, Nicolas Vayatis

CoRR, 2020

Autoencoder-based time series clustering with energy applications.

Guillaume Richard, Benoît Grossin, Guillaume Germaine, Georges Hébrail, Anne de Moliner

CoRR, 2020

Unsupervised Multi-source Domain Adaptation for Regression.

Guillaume Richard, Antoine de Mathelin, Georges Hébrail, Mathilde Mougeot, Nicolas Vayatis

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020