Kernel method for persistence diagrams via kernel embedding and weight factor

Journal of machine learning research (JMLR), 2017

12 June 2017

Papers citing "Kernel method for persistence diagrams via kernel embedding and weight factor"

31 / 31 papers shown

Title
Persistence Spheres: Bi-continuous Representations of Persistence Diagrams Matteo Pegoraro 54 0 0 21 Sep 2025
Scalable Sobolev IPM for Probability Measures on a Graph Tam Le Truyen V. Nguyen H. Hino Kenji Fukumizu 319 2 0 02 Feb 2025
Topology-Informed Machine Learning for Efficient Prediction of Solid Oxide Fuel Cell Electrode PolarizationEnergy and AI (EA), 2024 Maksym Szemer Szymon Buchaniec Tomasz Prokop G. Brus 101 10 0 04 Oct 2024
PI-Att: Topology Attention for Segmentation Networks through Adaptive Persistence Image Representation Mehmet Bahadir Erden S. Unver I. A. Gurses R. Turkay C. Gunduz-Demir 174 0 0 15 Aug 2024
Persistence kernels for classification: A comparative study Cinzia Bandiziol Stefano De Marchi 121 0 0 09 Aug 2024
Sparse Portfolio Selection via Topological Data Analysis based Clustering Anubha Goel Damir Filipović P. Pasricha 49 3 0 30 Jan 2024
Two-sample tests for relevant differences in persistence diagrams Johannes Krebs Daniel Rademacher 112 1 0 18 Jan 2024
Optimal Transport for Measures with Noisy Tree Metric Tam Le Truyen V. Nguyen Kenji Fukumizu OT 305 7 0 20 Oct 2023
Adaptive Topological Feature via Persistent Homology: Filtration Learning for Point CloudsNeural Information Processing Systems (NeurIPS), 2023 Naoki Nishikawa Yuichi Ike Kenji Yamanishi 3DPC 101 11 0 18 Jul 2023
Do Neural Networks Trained with Topological Features Learn Different Internal Representations? Sarah McGuire Shane Jackson Tegan H. Emerson Henry Kvinge 122 5 0 14 Nov 2022
Reliable Malware Analysis and Detection using Topology Data Analysis L. Tidjon Foutse Khomh 141 3 0 03 Nov 2022
Sobolev Transport: A Scalable Metric for Probability Measures with Graph MetricsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Tam Le Truyen V. Nguyen Dinh Q. Phung Viet Anh Nguyen OT 204 20 0 22 Feb 2022
Persformer: A Transformer Architecture for Topological Machine Learning Raphael Reinauer Matteo Caorsi Nicolas Berkouk 190 18 0 30 Dec 2021
Generalized Shape Metrics on Neural RepresentationsNeural Information Processing Systems (NeurIPS), 2021 Alex H. Williams Erin M Kunz Simon Kornblith Scott W. Linderman MedIm 159 132 0 27 Oct 2021
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 180 81 0 01 Jun 2021
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 275 4 0 25 May 2021
Entropy Partial Transport with Tree Metrics: Theory and PracticeInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Tam Le Truyen V. Nguyen OT 135 17 0 24 Jan 2021
A Sheaf and Topology Approach to Generating Local Branch Numbers in Digital Images Chuan-Shen Hu Yu-Min Chung 121 0 0 27 Nov 2020
Adaptive Partitioning for Template Functions on Persistence DiagramsInternational Conference on Machine Learning and Applications (ICMLA), 2019 Sarah Tymochko E. Munch Firas A. Khasawneh 91 8 0 18 Oct 2019
Persistence B-Spline Grids: Stable Vector Representation of Persistence Diagrams Based on Data FittingMachine-mediated learning (ML), 2019 Zhetong Dong Hongwei Lin Chi Zhou 124 7 0 17 Sep 2019
Topological Feature Vectors for Chatter Detection in Turning ProcessesThe International Journal of Advanced Manufacturing Technology (Int J Adv Manuf Technol), 2019 Melih C. Yesilli Firas A. Khasawneh Andreas Otto 162 32 0 21 May 2019
Same But Different: Distance Correlations Between Topological Summaries Katharine Turner Gard Spreemann 148 17 0 04 Mar 2019
Topological Bayesian Optimization with Persistence Diagrams T. Shiraishi Tam Le H. Kashima M. Yamada 114 2 0 26 Feb 2019
Approximating Continuous Functions on Persistence Diagrams Using Template Functions Jose A. Perea E. Munch Firas A. Khasawneh 177 29 0 19 Feb 2019
Tree-Sliced Variants of Wasserstein DistancesNeural Information Processing Systems (NeurIPS), 2019 Tam Le M. Yamada Kenji Fukumizu Marco Cuturi OT 298 91 0 01 Feb 2019
On the Metric Distortion of Embedding Persistence Diagrams into separable Hilbert spaces Mathieu Carrière Ulrich Bauer 95 32 0 19 Jun 2018
On the Expectation of a Persistence Diagram by the Persistence Weighted Kernel G. Kusano 166 3 0 22 Mar 2018
Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams Tam Le M. Yamada 226 81 0 10 Feb 2018
An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists Frédéric Chazal Bertrand Michel 319 697 0 11 Oct 2017
Persistence Diagrams with Linear Machine Learning Models I. Obayashi Y. Hiraoka 142 96 0 30 Jun 2017
Sliced Wasserstein Kernel for Persistence DiagramsInternational Conference on Machine Learning (ICML), 2017 Mathieu Carrière Marco Cuturi S. Oudot 166 251 0 11 Jun 2017