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06/30/2020
Multi-way Graph Signal Processing on Tensors: Integrative analysis of irregular geometries
Graph signal processing (GSP) is an important methodology for studying a...
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01/31/2019
Compressed Diffusion
Diffusion maps are a commonly used kernel-based method for manifold lear...
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09/30/2018
Graph Spectral Regularization for Neural Network Interpretability
Deep neural networks can learn meaningful representations of data. Howev...
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09/30/2018
Manifold Alignment with Feature Correspondence
We propose a novel framework for combining datasets via alignment of the...
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02/14/2018