Nicholas F. Marshall

According to our database, Nicholas F. Marshall authored at least 14 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

From the binomial reshuffling model to Poisson distribution of money.

Fei Cao, Nicholas F. Marshall

Networks Heterog. Media, 2024

Fast expansion into harmonics on the ball.

Joe Kileel, Nicholas F. Marshall, Oscar Mickelin, Amit Singer

CoRR, 2024

Learning equivariant tensor functions with applications to sparse vector recovery.

Wilson Gregory, Josué Tonelli-Cueto, Nicholas F. Marshall, Andrew S. Lee, Soledad Villar

CoRR, 2024

Laplace-HDC: Understanding the geometry of binary hyperdimensional computing.

Saeid Pourmand, Wyatt D. Whiting, Alireza Aghasi, Nicholas F. Marshall

CoRR, 2024

Randomized Kaczmarz with geometrically smoothed momentum.

Seth J. Alderman, Roan W. Luikart, Nicholas F. Marshall

CoRR, 2024

2023

Fast Expansion into Harmonics on the Disk: A Steerable Basis with Fast Radial Convolutions.

Nicholas F. Marshall, Oscar Mickelin, Amit Singer

SIAM J. Sci. Comput., October, 2023

A Common Variable Minimax Theorem for Graphs.

Ronald R. Coifman, Nicholas F. Marshall, Stefan Steinerberger

Found. Comput. Math., April, 2023

An Optimal Scheduled Learning Rate for a Randomized Kaczmarz Algorithm.

Nicholas F. Marshall, Oscar Mickelin

SIAM J. Matrix Anal. Appl., March, 2023

2022

Fast Principal Component Analysis for Cryo-EM Images.

Nicholas F. Marshall, Oscar Mickelin, Yunpeng Shi, Amit Singer

CoRR, 2022

On a linearization of quadratic Wasserstein distance.

Philip Greengard, Jeremy G. Hoskins, Nicholas F. Marshall, Amit Singer

CoRR, 2022

2021

Multi-target detection with rotations.

Tamir Bendory, Ti-Yen Lan, Nicholas F. Marshall, Iris Rukshin, Amit Singer

CoRR, 2021

2020

Image Recovery from Rotational And Translational Invariants.

Nicholas F. Marshall, Ti-Yen Lan, Tamir Bendory, Amit Singer

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

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

Zydrunas Gimbutas, Nicholas F. Marshall, Vladimir Rokhlin

CoRR, 2019

2016

Time Coupled Diffusion Maps.

Nicholas F. Marshall, Matthew J. Hirn

CoRR, 2016