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20182023
most citedParallel Transport Convolution: A New Tool for Convolutional Neural Networks on Manifolds

17 citations · 40 across the 8 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

math.AT2022★ 3 cited

Spherical Coordinates from Persistent Cohomology

Nikolas C. Schonsheck, Stefan C. Schonsheck

We describe a method to obtain spherical parameterizations of arbitrary data through the use of persistent cohomology and variational optimization. We begin by computing the second…

cs.LG2022★ 3 cited

Semi-Supervised Manifold Learning with Complexity Decoupled Chart Autoencoders

Stefan C. Schonsheck, Scott Mahan, Timo Klock +2

Autoencoding is a popular method in representation learning. Conventional autoencoders employ symmetric encoding-decoding procedures and a simple Euclidean latent space to detect h…