Applied Mathematics
Group-equivariant Representation by Jointly Decomposed Convolution
Optimal Spectral Shrinkage and PCA with Heteroscedastic Noise
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
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