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Topological Machine Learning with Persistence Indicator Functions

Topological Machine Learning with Persistence Indicator Functions

Mathematics and Visualization (MV), 2019
31 July 2019
Bastian Rieck
F. Sadlo
Heike Leitte
ArXiv (abs)PDFHTML

Papers citing "Topological Machine Learning with Persistence Indicator Functions"

17 / 17 papers shown
Democratic Recommendation with User and Item Representatives Produced by Graph Condensation
Democratic Recommendation with User and Item Representatives Produced by Graph Condensation
Jiahao Liang
Haoran Yang
Xiangyu Zhao
Zhiwen Yu
Guandong Xu
Wanyu Wang
Kaixiang Yang
77
0
0
23 Nov 2025
Image Classification using Combination of Topological Features and
  Neural Networks
Image Classification using Combination of Topological Features and Neural Networks
Mariana Dória Prata Lima
Gilson Antonio Giraldi
G. F. M. Junior
107
2
0
10 Nov 2023
Visualizing Topological Importance: A Class-Driven Approach
Visualizing Topological Importance: A Class-Driven Approach
Yu Qin
Brittany Terese Fasy
C. Wenk
Brian Summa
FAtt
175
1
0
22 Sep 2023
Higher-order topological kernels via quantum computation
Higher-order topological kernels via quantum computationInternational Conference on Quantum Computing and Engineering (QCE), 2023
Massimiliano Incudini
F. Martini
Alessandra Di Pierro
147
3
0
14 Jul 2023
On the Expressivity of Persistent Homology in Graph Learning
On the Expressivity of Persistent Homology in Graph LearningLOG IN (LOG IN), 2023
Bastian Rieck
Bastian Rieck
352
20
0
20 Feb 2023
Curvature Filtrations for Graph Generative Model Evaluation
Curvature Filtrations for Graph Generative Model EvaluationNeural Information Processing Systems (NeurIPS), 2023
Joshua Southern
Jeremy Wayland
Michael M. Bronstein
Bastian Rieck
365
21
0
30 Jan 2023
A Review of Topological Data Analysis for Cybersecurity
A Review of Topological Data Analysis for Cybersecurity
T. Davies
113
5
0
16 Feb 2022
The magnitude vector of images
The magnitude vector of imagesJournal of Applied and Computational Topology (JACT), 2021
Michael F. Adamer
E. Brouwer
Leslie O’Bray
Bastian Rieck
176
7
0
28 Oct 2021
A computationally efficient framework for vector representation of
  persistence diagrams
A computationally efficient framework for vector representation of persistence diagrams
Kit C. Chan
Umar Islambekov
A. Luchinsky
Rebecca Sanders
123
4
0
16 Sep 2021
Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and
  Practical Solutions
Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical SolutionsInternational Conference on Learning Representations (ICLR), 2021
Leslie O’Bray
Max Horn
Bastian Rieck
Karsten Borgwardt
371
49
0
02 Jun 2021
Scalar Field Comparison with Topological Descriptors: Properties and
  Applications for Scientific Visualization
Scalar Field Comparison with Topological Descriptors: Properties and Applications for Scientific Visualization
Lin Yan
Talha Bin Masood
Raghavendra Sridharamurthy
Farhan Rasheed
Vijay Natarajan
Ingrid Hotz
Bei Wang
232
84
0
01 Jun 2021
A Domain-Oblivious Approach for Learning Concise Representations of
  Filtered Topological Spaces for Clustering
A Domain-Oblivious Approach for Learning Concise Representations of Filtered Topological Spaces for ClusteringIEEE Transactions on Visualization and Computer Graphics (TVCG), 2021
Yuzhen Qin
Brittany Terese Fasy
C. Wenk
Brian Summa
328
4
0
25 May 2021
Characterizing and Measuring the Similarity of Neural Networks with
  Persistent Homology
Characterizing and Measuring the Similarity of Neural Networks with Persistent Homology
David Pérez-Fernández
Asier Gutiérrez-Fandiño
Jordi Armengol-Estapé
Marta Villegas
200
7
0
19 Jan 2021
A Progressive Approach to Scalar Field Topology
A Progressive Approach to Scalar Field TopologyIEEE Transactions on Visualization and Computer Graphics (TVCG), 2020
Jules Vidal
P. Guillou
Julien Tierny
201
8
0
29 Jul 2020
Fuzzy c-Means Clustering for Persistence Diagrams
Fuzzy c-Means Clustering for Persistence Diagrams
Thomas Davies
Jack Aspinall
Bryan Wilder
Long Tran-Thanh
381
4
0
04 Jun 2020
Progressive Wasserstein Barycenters of Persistence Diagrams
Progressive Wasserstein Barycenters of Persistence DiagramsIEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2019
Jules Vidal
J. Budin
Julien Tierny
163
46
0
10 Jul 2019
Persistence Curves: A canonical framework for summarizing persistence
  diagrams
Persistence Curves: A canonical framework for summarizing persistence diagrams
Yu-Min Chung
A. Lawson
213
87
0
16 Apr 2019
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