Articles

Subba Reddy Oota, Nathan Trouvain, Frederic Alexandre, Xavier Hinaut. 2023.
MEG Encoding Using Word Context Semantics in Listening Stories.
INTERSPEECH 2023. Dublin, Ireland.
DOI PDF
Nathan Trouvain, Nicolas Rougier, Xavier Hinaut. 2022.
Create Efficient and Complex Reservoir Computing Architectures with ReservoirPy.
SAB 2022. Cergy-Pontoise / Hybrid, France.
DOI PDF
Xavier Hinaut, Nathan Trouvain. 2021.
Which Hype for My New Task? Hints and Random Search for Echo State Networks Hyperparameters.
ICANN 2021. Bratislava, Slovakia.
DOI PDF
Silvia Pagliarini, Nathan Trouvain, Arthur Leblois, Xavier Hinaut. 2021.
What Does the Canary Say? Low-dimensional GAN Applied to Birdsong.
preprint
PDF CODE
Nathan Trouvain, Xavier Hinaut. 2021.
Canary Song Decoder: Transduction and Implicit Segmentation with ESNs and LTSMs.
ICANN 2021. Bratislava, Slovakia.
DOI PDF CODE
Nathan Trouvain, Luca Pedrelli, Thanh Trung Dinh, Xavier Hinaut. 2020.
ReservoirPy: An Efficient and User-Friendly Library to Design Echo State Networks.
ICANN 2020. Bratislava, Slovakia.
DOI PDF CODE

Posters

Subba Reddy Oota, Nathan Trouvain, Frédéric Alexandre, Xavier Hinaut. 2023.
Past Word Context Enables Better MEG Encoding Predictions than Current Word in Listening Stories.
NeuroFrance 2023. Lyon, France.
PDF

Presentations and events

Nathan Trouvain, Xavier Hinaut. 2022.
Reservoir Computing : de la théorie à la pratique avec ReservoirPy.
AI-DevTalks. Sorbonne Center for Articifial Intelligence (SCAI), Paris, France.
VIDEO SLIDES
Nathan Trouvain, Xavier Hinaut. 2022.
Reservoir Computing : traitement efficace de séries temporelles avec ReservoirPy.
Dataquitaine 2022. Bordeaux, France.
VIDEO
Nathan Trouvain, Deepayan Das, Xavier Hinaut. 2023.
ReservoirPy sprint: Amélioration de ReservoirPy, un outil simple de reservoir computing.
PyConFR 2023. Bordeaux, France.
EVENT