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20192025
most citedDistributional loss for convolutional neural network regression and application to GNSS multi-path estimation

2 citations · 2 across the 2 of their papers we have counts for

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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…