mlsanityData to 14 Oct 2026

Interactive Visualization of 2-D Persistence Modules

arXiv 1512.00180 ↗First posted 1 Dec 2015math.AT cs.CG math.ACcited by 19

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Abstract (arXiv)

The goal of this work is to extend the standard persistent homology pipeline for exploratory data analysis to the 2-D persistence setting, in a practical, computationally efficient way. To this end, we introduce RIVET, a software tool for the visualization of 2-D persistence modules, and present mathematical foundations for this tool. RIVET provides an interactive visualization of the barcodes of 1-D affine slices of a 2-D persistence module M. It also computes and visualizes the dimension of each vector space in M and the bigraded Betti numbers of M. At the heart of our computational approach is a novel data structure based on planar line arrangements, on which we can perform fast queries to find the barcode of any slice of M. We present an efficient algorithm for constructing this data structure and establish bounds on its complexity.

Key facts. Cited by 19 papers in the map (data through 14 Oct 2026). First posted on arXiv 1 Dec 2015.

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Citing papers per year: 2021: 2; 2022: 3; 2023: 4; 2024: 4; 2025: 3; 2026: 3.

19 papers.

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  1. 2021Category Theory in Machine Learningcited by 36
  2. 2022Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstructioncited by 14
  3. 2023Euler Characteristic Tools For Topological Data Analysiscited by 13
  4. 2023GRIL: A 2-parameter Persistence Based Vectorization for Machine Learningcited by 13
  5. 2021Augmenting Molecular Deep Generative Models with Topological Data Analysis Representationscited by 6
  6. 2024D-GRIL: End-to-End Topological Learning with 2-parameter Persistencecited by 5
  7. 2024EMP: Effective Multidimensional Persistence for Graph Representation Learningcited by 4
  8. 2022Time-inhomogeneous diffusion geometry and topologycited by 3
  9. 2023Stability for Inference with Persistent Homology Rank Functionscited by 1
  10. 2024Mix-GENEO: A Flexible Filtration for Multiparameter Persistent Homology Detects Digital Imagescited by 1
  11. 2024Filtration learning in exact multi-parameter persistent homology and classification of time-series datacited by 1
  12. 2025Quasi Zigzag Persistence: A Topological Framework for Analyzing Time-Varying Datacited by 1
7 more
  1. 2025CuMPerLay: Learning Cubical Multiparameter Persistence Vectorizationscited by 1
  2. 2025MCbiF: Measuring Topological Autocorrelation in Multiscale Clusterings via 2-Parameter Persistent Homologycited by 1
  3. 2026Multi-dimensional Persistent Sheaf Laplacians for Image Analysiscited by 1
  4. 2022Detection of Small Holes by the Scale-Invariant Robust Density-Aware Distance (RDAD) Filtrationcited by 0
  5. 2023FLASC: A Flare-Sensitive Clustering Algorithmcited by 0
  6. 2026COMPLEX: A Closed-Form Certified Embedding of Multiparameter Persistence Modulescited by 0
  7. 2026The sublevel Flood bifiltration: towards scalable 2-parameter persistent homologycited by 0