Persistence Diagrams with Linear Machine Learning Models

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Persistence Diagrams with Linear Machine Learning Models

30 June 2017

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Papers citing "Persistence Diagrams with Linear Machine Learning Models"

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Title
Topology-Informed Machine Learning for Efficient Prediction of Solid Oxide Fuel Cell Electrode Polarization Maksym Szemer Szymon Buchaniec Tomasz Prokop G. Brus 37 0 0 04 Oct 2024
Periodic Implicit Representation, Design and Optimization of Porous Structures Using Periodic B-splines Depeng Gao Yang Gao Hongwei Lin AI4CE 22 4 0 19 Feb 2024
Euler Characteristic Tools For Topological Data Analysis Olympio Hacquard Vadim Lebovici 92 12 0 24 Mar 2023
Statistical learning on measures: an application to persistence diagrams Olympio Hacquard Gilles Blanchard Clément Levrard 134 3 0 15 Mar 2023
Persistent homology-based descriptor for machine-learning potential of amorphous structures E. Minamitani I. Obayashi Koji Shimizu S. Watanabe AI4CE 55 11 0 28 Jun 2022
On the effectiveness of persistent homology Renata Turkevs Guido Montúfar N. Otter 121 31 0 21 Jun 2022
Statistical embedding: Beyond principal components D. Tjøstheim Martin Jullum Anders Løland 59 2 0 03 Jun 2021
A Multi-parameter Persistence Framework for Mathematical Morphology Yu-Min Chung S. Day Chuan-Shen Hu 30 13 0 24 Mar 2021
Using Persistent Homology Topological Features to Characterize Medical Images: Case Studies on Lung and Brain Cancers Chul Moon Qiwei Li Guanghua Xiao 59 9 0 07 Dec 2020
Large Scale computation of Means and Clusters for Persistence Diagrams using Optimal Transport Théo Lacombe Marco Cuturi S. Oudot 65 72 0 22 May 2018
An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists Frédéric Chazal Bertrand Michel 107 598 0 11 Oct 2017