activity
20222026
collaborators

6 papers

math.AT2026

Scalable persistence pairing graphs on scalar fields with an application to porous media

John Rick Manzanares

We present a scalable method for computing persistence pairing graphs from large cubical filtrations and use it to test whether graph organization among persistent classes contains…

math.AT2026

Persistence Pairing Graphs: Tracking Changes of Selected Homology Bases

John Rick Manzanares

Persistent homology summarizes a filtration by recording when homological features appear and disappear, but the resulting barcode does not determine a preferred homology basis or…

cs.CG2026

A Probabilistic Interpretation of the Ball Mapper Graph

John Rick Manzanares, Jay-Anne Bulauan

We introduce Probabilistic Ball Mapper, a formulation of Ball Mapper in which each data point is assigned a probability distribution supported only on the metric balls that contain…

cs.CG2026

Exact and Approximate Range Queries in Ball Mapper

Jay-Anne Bulauan, John Rick Manzanares

Ball Mapper summarizes a finite metric dataset by covering the sample with closed balls centered at selected landmarks and connecting landmarks whose balls share observations. Its…

q-bio.QM2025

Frame-invariant topological representations of trabecular bone microarchitecture for strength prediction

John Rick Manzanares, Richard Leslie Abel, Paweł Dłotko

Directional topological representations of trabecular bone should retain interpretable structural information without depending on an arbitrary transverse coordinate frame. We deve…

cs.CG2022

Stable Homology-Based Cycle Centrality Measures

John Rick D. Manzanares, Paul Samuel P. Ignacio

Network centrality measures play a crucial role in understanding graph structures, assessing the importance of nodes, paths, or cycles based on directed or reciprocal interactions…