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Understanding Graph Neural Networks with Asymmetric Geometric Scattering Transforms
The scattering transform is a multilayered wavelet-based deep learning a...
11/14/2019 ∙ by Michael Perlmutter, et al. ∙
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Inverting Spectrogram Measurements via Aliased Wigner Distribution Deconvolution and Angular Synchronization
We propose a two-step approach for reconstructing a signal x∈C^d from s...
07/24/2019 ∙ by Michael Perlmutter, et al. ∙
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Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds
The Euclidean scattering transform was introduced nearly a decade ago to...
05/24/2019 ∙ by Michael Perlmutter, et al. ∙
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Scattering Statistics of Generalized Spatial Poisson Point Processes
We present a machine learning model for the analysis of randomly generat...
02/10/2019 ∙ by Michael Perlmutter, et al. ∙
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Geometric Scattering on Manifolds
We present a mathematical model for geometric deep learning based upon a...
12/15/2018 ∙ by Michael Perlmutter, et al. ∙
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