Applied Mathematics
TBA
Non-Convex Harmonic Parameterization
Graph Convolutional Neural Networks and Graph Generation via Scattering
Hierarchical Recurrent Models of Neural Activity and Natural Behavior
Dictionary Design for Graph Signal Processing
Analog to digital compression
Estimating a manifold from noisy samples
Learning Graph Inverse Problems with Geometric Neural Networks
Learning from Highly Correlated Features using Graph Total Variation
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