
Learning Graphs from Smooth and GraphStationary Signals with Hidden Variables
Networktopology inference from (vertex) signal observations is a promin...
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Joint inference of multiple graphs with hidden variables from stationary graph signals
Learning graphs from sets of nodal observations represents a prominent p...
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A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters
Graph convolutional neural networks (GCNNs) are popular deep learning ar...
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Untrained Graph Neural Networks for Denoising
A fundamental problem in signal processing is to denoise a signal. While...
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An Underparametrized Deep Decoder Architecture for Graph Signals
While deep convolutional architectures have achieved remarkable results ...
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Samuel Rey
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