Guillaume Richard

21 papers A* 1A 3B 1Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Surfer 2: The Next Generation of Cross-Platform Computer Use Agents.
CoRR
Mathieu Andreux, Märt Bakler, Yanael Barbier, Hamza Benchekroun, Emilien Biré, Antoine Bonnet, Riaz Bordie, Nathan Bout, Matthias Brunel, Aleix Cambray, Pierre-Louis Cedoz, Antoine Chassang, Gautier Cloix, Ethan Connelly, Alexandra D. Constantinou, Ramzi De Coster, Hubert de La Jonquière, Aurélien Delfosse, Maxime Delpit, Alexis Deprez, Augustin Derupti, Mathieu Diaz, Shannon D'Souza, Julie Dujardin, Abai Edmund, Michael Eickenberg, Armand Fatalot, Wissem Felissi, Isaac Herring, Xavier Koegler, Erwan Le Jumeau de Kergaradec, Aurélien Lac, Maxime Langevin, Corentin Lauverjat, Antonio Loison, Avshalom Manevich, Axel Moyal, Axel Nguyen Kerbel, Marinela Parovic, Julien Revelle, Guillaume Richard, Mats L. Richter, Ronan Riochet, María Santos, Romain Savidan, Laurent Sifre, Maxime Theillard, Marc Thibault, Ivan Valentini, Tony Wu, Laura Yie, Kai Yuan, Jevgenij Zubovskij
2024 — conf
BulkRNABert: Cancer prognosis from bulk RNA-seq based language models.
ML4H@NeurIPS
Maxence Gélard, Guillaume Richard, Thomas Pierrot, Paul-Henry Cournède
2024 A* conf
Multi-modal Transfer Learning between Biological Foundation Models.
NeurIPS
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
2024 J jnl
Multi-modal Transfer Learning between Biological Foundation Models.
CoRR
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
2024 J jnl
PASTA: Pretrained Action-State Transformer Agents.
RLJ
Raphaël Boige, Yannis Flet-Berliac, Lars C. P. M. Quaedvlieg, Arthur Flajolet, Guillaume Richard, Thomas Pierrot
2024 J jnl
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration.
J. Mach. Learn. Res.
Félix Chalumeau, Bryan Lim, Raphaël Boige, Maxime Allard, Luca Grillotti, Manon Flageat, Valentin Macé, Guillaume Richard, Arthur Flajolet, Thomas Pierrot, Antoine Cully
2023 J jnl
DT-DS: CAN Intrusion Detection with Decision Tree Ensembles.
ACM Trans. Cyber Phys. Syst.
Jarul Mehta, Guillaume Richard, Loren Lugosch, Derek Yu, Brett H. Meyer
2023 A conf
Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces.
GECCO
Raphaël Boige, Guillaume Richard, Jérémie Donà, Thomas Pierrot, Antoine Cully
2023 J jnl
Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces.
CoRR
Raphaël Boige, Guillaume Richard, Jérémie Donà, Thomas Pierrot, Antoine Cully
2023 J jnl
PASTA: Pretrained Action-State Transformer Agents.
CoRR
Raphaël Boige, Yannis Flet-Berliac, Arthur Flajolet, Guillaume Richard, Thomas Pierrot
2023 A conf
The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers.
GECCO
Valentin Macé, Raphaël Boige, Félix Chalumeau, Thomas Pierrot, Guillaume Richard, Nicolas Perrin-Gilbert
2023 J jnl
The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers.
CoRR
Valentin Macé, Raphaël Boige, Félix Chalumeau, Thomas Pierrot, Guillaume Richard, Nicolas Perrin-Gilbert
2022 J jnl
Multi-Objective Quality Diversity Optimization.
CoRR
Thomas Pierrot, Guillaume Richard, Karim Beguir, Antoine Cully
2022 A conf
Multi-objective quality diversity optimization.
GECCO
Thomas Pierrot, Guillaume Richard, Karim Beguir, Antoine Cully
2021 J jnl
ADAPT : Awesome Domain Adaptation Python Toolbox.
CoRR
Antoine de Mathelin, François Deheeger, Guillaume Richard, Mathilde Mougeot, Nicolas Vayatis
2021 B conf
Adversarial Weighting for Domain Adaptation in Regression.
ICTAI
Antoine de Mathelin, Guillaume Richard, François Deheeger, Mathilde Mougeot, Nicolas Vayatis
2021 — —
Transfer Learning methods for temporal data. (Méthodes d'apprentissage statistique de type « Transfer Learning » pour des données temporelles multivariées).
Guillaume Richard
2021 J jnl
Unsupervised Domain Adaptation for Constraining Star Formation Histories.
CoRR
Sankalp Gilda, Antoine de Mathelin, Sabine Bellstedt, Guillaume Richard
2020 J jnl
Adversarial Weighting for Domain Adaptation in Regression.
CoRR
Antoine de Mathelin, Guillaume Richard, Mathilde Mougeot, Nicolas Vayatis
2020 J jnl
Autoencoder-based time series clustering with energy applications.
CoRR
Guillaume Richard, Benoît Grossin, Guillaume Germaine, Georges Hébrail, Anne de Moliner
2020 — conf
Unsupervised Multi-source Domain Adaptation for Regression.
ECML/PKDD (1)
Guillaume Richard, Antoine de Mathelin, Georges Hébrail, Mathilde Mougeot, Nicolas Vayatis