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20162026
most citedManifold learning with bi-stochastic kernels

25 citations · 103 across the 19 of their papers we have counts for

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5 papers · 1 filter

math.NA2022★ 1 cited

Fast Principal Component Analysis for Cryo-EM Images

Nicholas F. Marshall, Oscar Mickelin, Yunpeng Shi +1

Principal component analysis (PCA) plays an important role in the analysis of cryo-EM images for various tasks such as classification, denoising, compression, and ab-initio modelin…

math.NA2022

Fast expansion into harmonics on the disk: a steerable basis with fast radial convolutions

Nicholas F. Marshall, Oscar Mickelin, Amit Singer

We present a fast and numerically accurate method for expanding digitized images representing functions on supported on the disk $\{x \in \mathbb{R}^2 : |x|…

math.NA2022

On a linearization of quadratic Wasserstein distance

Philip Greengard, Jeremy G. Hoskins, Nicholas F. Marshall +1

This paper studies the problem of computing a linear approximation of quadratic Wasserstein distance . In particular, we compute an approximation of the negative homogeneous w…

math.NA2022★ 1 cited

An optimal scheduled learning rate for a randomized Kaczmarz algorithm

Nicholas F. Marshall, Oscar Mickelin

We study how the learning rate affects the performance of a relaxed randomized Kaczmarz algorithm for solving , where is a consistent linear s…

math.NA2019★ 25 cited

A fast simple algorithm for computing the potential of charges on a line

Zydrunas Gimbutas, Nicholas F. Marshall, Vladimir Rokhlin

We present a fast method for evaluating expressions of the form where are…