Guillaume Renton

According to our database, Guillaume Renton authored at least 9 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

HybEA: Hybrid Attention Models for Entity Alignment.

Nikolaos Fanourakis, Fatia Lekbour, Vasilis Efthymiou, Guillaume Renton, Vassilis Christophides

CoRR, 2024

2022

A differentiable approximation for the Linear Sum Assignment Problem with Edition.

Luc Brun, Benoit Gaüzère, Guillaume Renton, Sébastien Bougleux, Florian Yger

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

Analyzing and improving graph neural networks. (Réseaux de neurones sur graphes: analyse et contributions).

Guillaume Renton

PhD thesis, 2021

Symbols Detection and Classification using Graph Neural Networks.

Guillaume Renton, Muhammet Balcilar, Pierre Héroux, Benoit Gaüzère, Paul Honeine, Sébastien Adam

Pattern Recognit. Lett., 2021

Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective.

Muhammet Balcilar, Guillaume Renton, Pierre Héroux, Benoit Gaüzère, Sébastien Adam, Paul Honeine

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks.

Muhammet Balcilar, Guillaume Renton, Pierre Héroux, Benoit Gaüzère, Sébastien Adam, Paul Honeine

CoRR, 2020

2019

Graph Neural Network for Symbol Detection on Document Images.

Guillaume Renton, Pierre Héroux, Benoit Gaüzère, Sébastien Adam

Proceedings of the 13th IAPR International Workshop on Graphics Recognition, 2019

2018

Fully convolutional network with dilated convolutions for handwritten text line segmentation.

Guillaume Renton, Yann Soullard, Clément Chatelain, Sébastien Adam, Christopher Kermorvant, Thierry Paquet

Int. J. Document Anal. Recognit., 2018

2017

Handwritten Text Line Segmentation Using Fully Convolutional Network.

Guillaume Renton, Clément Chatelain, Sébastien Adam, Christopher Kermorvant, Thierry Paquet

Proceedings of the First Workshop of Machine Learning, 2017