An unrolled alternating minimization algorithm for joint signal denoising and graph learning on multimodal graph signals that outperforms prior model-based and deep learning methods on synthetic and real data.
Playing with duality: An overview of recent primal-dual approaches for solving large-scale optimization problems,
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Algorithm Unrolling-based Denoising of Multimodal Graph Signals
An unrolled alternating minimization algorithm for joint signal denoising and graph learning on multimodal graph signals that outperforms prior model-based and deep learning methods on synthetic and real data.