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Guillaume Richard
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2020 – today
- 2024
- [j3]Raphaël Boige, Yannis Flet-Berliac, Lars C. P. M. Quaedvlieg, Arthur Flajolet, Guillaume Richard, Thomas Pierrot:
PASTA: Pretrained Action-State Transformer Agents. RLJ 3: 1511-1532 (2024) - [j2]Félix Chalumeau, Bryan Lim, Raphaël Boige, Maxime Allard, Luca Grillotti, Manon Flageat, Valentin Macé, Guillaume Richard, Arthur Flajolet, Thomas Pierrot, Antoine Cully:
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration. J. Mach. Learn. Res. 25: 108:1-108:16 (2024) - [i9]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:
Multi-modal Transfer Learning between Biological Foundation Models. CoRR abs/2406.14150 (2024) - 2023
- [j1]Jarul Mehta
DT-DS: CAN Intrusion Detection with Decision Tree Ensembles. ACM Trans. Cyber Phys. Syst. 7(1): 4:1-4:27 (2023) - [c5]Raphaël Boige
Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces. GECCO 2023: 119-128 - [c4]Valentin Macé
The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers. GECCO 2023: 1221-1229 - [i8]Valentin Macé, Raphaël Boige, Félix Chalumeau, Thomas Pierrot, Guillaume Richard, Nicolas Perrin-Gilbert:
The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers. CoRR abs/2303.16207 (2023) - [i7]Raphaël Boige, Guillaume Richard, Jérémie Donà, Thomas Pierrot, Antoine Cully:
Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces. CoRR abs/2306.05138 (2023) - [i6]Raphaël Boige, Yannis Flet-Berliac, Arthur Flajolet, Guillaume Richard, Thomas Pierrot:
PASTA: Pretrained Action-State Transformer Agents. CoRR abs/2307.10936 (2023) - 2022
- [c3]Thomas Pierrot, Guillaume Richard, Karim Beguir, Antoine Cully:
Multi-objective quality diversity optimization. GECCO 2022: 139-147 - [i5]Thomas Pierrot, Guillaume Richard, Karim Beguir, Antoine Cully:
Multi-Objective Quality Diversity Optimization. CoRR abs/2202.03057 (2022) - 2021
- [b1]Guillaume Richard:
Transfer Learning methods for temporal data. (Méthodes d'apprentissage statistique de type « Transfer Learning » pour des données temporelles multivariées). University of Paris-Saclay, France, 2021 - [c2]Antoine de Mathelin, Guillaume Richard, François Deheeger, Mathilde Mougeot, Nicolas Vayatis:
Adversarial Weighting for Domain Adaptation in Regression. ICTAI 2021: 49-56 - [i4]Antoine de Mathelin, François Deheeger, Guillaume Richard, Mathilde Mougeot, Nicolas Vayatis:
ADAPT : Awesome Domain Adaptation Python Toolbox. CoRR abs/2107.03049 (2021) - [i3]Sankalp Gilda, Antoine de Mathelin, Sabine Bellstedt
Unsupervised Domain Adaptation for Constraining Star Formation Histories. CoRR abs/2112.14072 (2021) - 2020
- [c1]Guillaume Richard, Antoine de Mathelin, Georges Hébrail, Mathilde Mougeot, Nicolas Vayatis:
Unsupervised Multi-source Domain Adaptation for Regression. ECML/PKDD (1) 2020: 395-411 - [i2]Guillaume Richard, Benoît Grossin, Guillaume Germaine, Georges Hébrail, Anne de Moliner:
Autoencoder-based time series clustering with energy applications. CoRR abs/2002.03624 (2020) - [i1]Antoine de Mathelin, Guillaume Richard, Mathilde Mougeot, Nicolas Vayatis:
Adversarial Weighting for Domain Adaptation in Regression. CoRR abs/2006.08251 (2020)
Coauthor Index
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