Unsupervised Multi-source Domain Adaptation for Regression. - Guillaume Richard; Antoine de Mathelin; Georges Hébrail; Mathilde Mougeot; Nicolas Vayatis (ECML/PKDD (1), 2020)

Autoencoder-based time series clustering with energy applications. - Guillaume Richard; Benoît Grossin; Guillaume Germaine; Georges Hébrail; Anne de Moliner (CoRR, 2020)

Adversarial Weighting for Domain Adaptation in Regression. - Antoine de Mathelin; Guillaume Richard; Mathilde Mougeot; Nicolas Vayatis (CoRR, 2020)

Adversarial Weighting for Domain Adaptation in Regression. - Antoine de Mathelin; Guillaume Richard; François Deheeger; Mathilde Mougeot; Nicolas Vayatis (ICTAI, 2021)

ADAPT : Awesome Domain Adaptation Python Toolbox. - Antoine de Mathelin; François Deheeger; Guillaume Richard; Mathilde Mougeot; Nicolas Vayatis (CoRR, 2021)

Unsupervised Domain Adaptation for Constraining Star Formation Histories. - Sankalp Gilda; Antoine de Mathelin; Sabine Bellstedt; Guillaume Richard (CoRR, 2021)

Transfer Learning methods for temporal data. (Méthodes d'apprentissage statistique de type « Transfer Learning » pour des données temporelles multivariées). - Guillaume Richard (2021)

Multi-objective quality diversity optimization. - Thomas Pierrot; Guillaume Richard; Karim Beguir; Antoine Cully (GECCO, 2022)

Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces. - Raphaël Boige; Guillaume Richard; Jérémie Donà; Thomas Pierrot; Antoine Cully (GECCO, 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 (GECCO, 2023)

PASTA: Pretrained Action-State Transformer Agents. - Raphaël Boige; Yannis Flet-Berliac; Arthur Flajolet; Guillaume Richard; Thomas Pierrot (CoRR, 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., 2023)

BulkRNABert: Cancer prognosis from bulk RNA-seq based language models. - Maxence Gélard; Guillaume Richard; Thomas Pierrot; Paul-Henry Cournède (ML4H@NeurIPS, 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 (NeurIPS, 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; Lorenz Hexemer; Christopher Blum; Stefan Laurent; Jan Grzegorzewski; Maren Lang; Thomas Pierrot; Guillaume Richard (CoRR, 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)