Sampling Real Algebraic Varieties for Topological Data Analysis. - Emilie Dufresne; Parker B. Edwards; Heather A. Harrington; Jonathan D. Hauenstein (ICMLA, 2019)

Certified Evaluations of Hölder Continuous Functions at Roots of Polynomials. - Parker B. Edwards; Jonathan D. Hauenstein; Clifford D. Smyth (MC, 2020)

TDAExplore: Quantitative analysis of fluorescence microscopy images through topology-based machine learning. - Parker B. Edwards; Kristen Skruber; Nikola Milicevic; James B. Heidings; Tracy-Ann Read; Peter Bubenik; Eric A. Vitriol (Patterns, 2021)

Aggregating community maps. - Erin W. Chambers; Moon Duchin; Ranthony A. C. Edmonds; Parker B. Edwards; JN Matthews; Anthony E. Pizzimenti; Chanel Richardson; Parker Rule; Ari Stern (SIGSPATIAL/GIS, 2022)

Graded Persistence Diagrams and Persistence Landscapes. - Leo Betthauser; Peter Bubenik; Parker B. Edwards (Discret. Comput. Geom., 2022)

Output Mode Switching for Parallel Five-bar Manipulators Using a Graph-based Path Planner. - Parker B. Edwards; Aravind Baskar; Caroline Hills; Mark M. Plecnik; Jonathan D. Hauenstein (ICRA, 2023)

Computing Geometric Feature Sizes for Algebraic Manifolds. - Sandra Di Rocco; Parker B. Edwards; David Eklund; Oliver Gäfvert; Jonathan D. Hauenstein (SIAM J. Appl. Algebra Geom., 2023)

On computing local monodromy and the numerical local irreducible decomposition. - Parker B. Edwards; Jonathan D. Hauenstein (CoRR, 2024)

Topological Machine Learning with Unreduced Persistence Diagrams. - Nicole Abreu; Parker B. Edwards; Francis Motta (CoRR, 2025)