Gregory Henselman-Petrusek
Gregory Henselman-Petrusek
Associate Research Scholar, Princeton University
Verified email at princeton.edu - Homepage
Title
Cited by
Cited by
Year
Matroid Filtrations and Computational Persistent Homology
G Henselman, R Ghrist
https://arxiv.org/abs/1606.00199v2, 2016
452016
Feasibility of topological data analysis for event-related fMRI
CT Ellis, M Lesnick, G Henselman-Petrusek, B Keller, JD Cohen
Network Neuroscience 3 (3), 695-706, 2019
82019
Performance enhancement of a computational persistent homology package
A Hylton, G Henselman-Petrusek, J Sang, R Short
2017 IEEE 36th international performance computing and communications …, 2017
52017
Matroids and Canonical Forms: Theory and Applications
G Henselman-Petrusek
arXiv preprint arXiv:1710.06084, 2017
52017
Tuning the performance of a computational persistent homology package
A Hylton, G Henselman‐Petrusek, J Sang, R Short
Software: Practice and Experience 49 (5), 885-905, 2019
32019
Decomposition of nonlinear persistence modules
G Henselman-Petrusek, R Ghrist
Preprint available at gregoryhenselman. org, 2019
12019
Semitopological coproducts and free objects on N totally ordered sets in some categories of complete, distributive, modular, and algebraic lattices
G Henselman-Petrusek
12019
Limitations of Topological Data Analysis for event-related fMRI
CT Ellis, M Lesnick, G Henselman-Petrusek, B Keller, JD Cohen
bioRxiv, 457747, 2018
12018
Geometry of Shared Representations
G Henselman-Petrusek, S Segert, B Keller, M Tepper, JD Cohen
1*
Visual hierarchy relates to impressions of good design
Y Urano, A Kurosu, G Henselman-Petrusek, A Todorov
PsyArXiv, 2021
2021
Minimal Cycle Representatives in Persistent Homology using Linear Programming: an Empirical Study with User's Guide
L Li, C Thompson, G Henselman-Petrusek, C Giusti, L Ziegelmeier
arXiv preprint arXiv:2105.07025, 2021
2021
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