Continuation of Point Clouds via Persistence Diagrams
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Abstract (arXiv)
In this paper, we present a mathematical and algorithmic framework for the continuation of point clouds by persistence diagrams. A key property used in the method is that the persistence map, which assigns a persistence diagram to a point cloud, is differentiable. This allows us to apply the Newton-Raphson continuation method in this setting. Given an original point cloud P, its persistence diagram D, and a target persistence diagram D', we gradually move from D to D', by successively computing intermediate point clouds until we finally find a point cloud P' having D' as its persistence diagram. Our method can be applied to a wide variety of situations in topological data analysis where it is necessary to solve an inverse problem, from persistence diagrams to point cloud data.
Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). First posted on arXiv 10 Jun 2015.
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Citing papers per year: 2021: 4; 2022: 1; 2023: 1; 2024: 2; 2025: 3; 2026: 2.
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- 2021Topological Graph Neural Networkscited by 87
- 2021Improving Metric Dimensionality Reduction with Distributed Topologycited by 11
- 2024Diffeomorphic interpolation for efficient persistence-based topological optimizationcited by 6
- 2025Enhancing Graph Representation Learning with Localized Topological Featurescited by 6
- 2021A Gradient Sampling Algorithm for Stratified Maps with Applications to Topological Data Analysiscited by 5
- 2023Topological Node2vec: Enhanced Graph Embedding via Persistent Homologycited by 5
- 2021Optimisation of Spectral Wavelets for Persistence-based Graph Classificationcited by 2
- 2024Topological Approach for Data Assimilationcited by 1
- 2022Convolutional Persistence Transformscited by 0
- 2025Hall Effect Thruster Forecasting using a Topological Approach for Data Assimilationcited by 0
- 2025Dynamical System Parameter Path Optimization using Persistent Homologycited by 0
- 2026Non-negative Matrix Factorisation with Topological Regularisationcited by 0
- 2026A differentiability framework for zigzag persistent homology via linear interpolation30 Sep 2026
- 2026Non-negative Matrix Factorisation with Topological Regularisation16 Jun 2026
- 2025Dynamical System Parameter Path Optimization using Persistent Homology1 May 2025
- 2025Hall Effect Thruster Forecasting using a Topological Approach for Data Assimilation8 Apr 2025
- 2025Enhancing Graph Representation Learning with Localized Topological Features15 Jan 2025
- 2024Topological Approach for Data Assimilation12 Nov 2024
- 2024Diffeomorphic interpolation for efficient persistence-based topological optimization29 May 2024
- 2023Topological Node2vec: Enhanced Graph Embedding via Persistent Homology15 Sep 2023
- 2022Convolutional Persistence Transforms3 Aug 2022
- 2021A Gradient Sampling Algorithm for Stratified Maps with Applications to Topological Data Analysis1 Sep 2021
- 2021Improving Metric Dimensionality Reduction with Distributed Topology14 Jun 2021
- 2021Topological Graph Neural Networks15 Feb 2021
1 more
- 2021Topological Graph Neural Networkscited by 87
- 2021Improving Metric Dimensionality Reduction with Distributed Topologycited by 11
- 2024Diffeomorphic interpolation for efficient persistence-based topological optimizationcited by 6
- 2025Enhancing Graph Representation Learning with Localized Topological Featurescited by 6
- 2021A Gradient Sampling Algorithm for Stratified Maps with Applications to Topological Data Analysiscited by 5
- 2023Topological Node2vec: Enhanced Graph Embedding via Persistent Homologycited by 5
- 2021Optimisation of Spectral Wavelets for Persistence-based Graph Classificationcited by 2
- 2024Topological Approach for Data Assimilationcited by 1
- 2022Convolutional Persistence Transformscited by 0
- 2025Hall Effect Thruster Forecasting using a Topological Approach for Data Assimilationcited by 0
- 2025Dynamical System Parameter Path Optimization using Persistent Homologycited by 0
- 2026Non-negative Matrix Factorisation with Topological Regularisationcited by 0
12 most cited of 13 All 13 (JSON)
- 2026A differentiability framework for zigzag persistent homology via linear interpolation30 Sep 2026
- 2026Non-negative Matrix Factorisation with Topological Regularisation16 Jun 2026
- 2025Dynamical System Parameter Path Optimization using Persistent Homology1 May 2025
- 2025Hall Effect Thruster Forecasting using a Topological Approach for Data Assimilation8 Apr 2025
- 2025Enhancing Graph Representation Learning with Localized Topological Features15 Jan 2025
- 2024Topological Approach for Data Assimilation12 Nov 2024
- 2024Diffeomorphic interpolation for efficient persistence-based topological optimization29 May 2024
- 2023Topological Node2vec: Enhanced Graph Embedding via Persistent Homology15 Sep 2023
- 2022Convolutional Persistence Transforms3 Aug 2022
- 2021A Gradient Sampling Algorithm for Stratified Maps with Applications to Topological Data Analysis1 Sep 2021
- 2021Improving Metric Dimensionality Reduction with Distributed Topology14 Jun 2021
- 2021Topological Graph Neural Networks15 Feb 2021
12 newest of 13 All 13 (JSON)