2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.LG2025
Wasserstein distance based semi-supervised manifold learning and application to GNSS multi-path detection
Antoine Blais, Nicolas Couëllan
The main objective of this study is to propose an optimal transport based semi-supervised approach to learn from scarce labelled image data using deep convolutional networks. The p…
cs.CV2022★ 2 cited
Distributional loss for convolutional neural network regression and application to GNSS multi-path estimation
Thomas Gonzalez, Antoine Blais, Nicolas Couëllan +1
Convolutional Neural Network (CNN) have been widely used in image classification. Over the years, they have also benefited from various enhancements and they are now considered as…
eess.SP2019
Convolutional Neural Network for Multipath Detection in GNSS Receivers
Evgenii Munin, Antoine Blais, Nicolas Couellan
Global Navigation Satellite System (GNSS) signals are subject to different kinds of events causing significant errors in positioning. This work explores the application of Machine…