@inproceedings{20729,
  abstract     = {Persistence modules (defined as a sequence of vector spaces and linear maps between them) are a key tool in topological data analysis. They are easy to interpret and fast to compute. However, when considering persistence maps (i.e. maps between persistence modules), these properties are lost. We propose a new invariant for persistence maps consisting of a partial matching such that: it is easy to interpret, it is more discriminative than the image of the persistence map, and can be calculated with cubical complexity.},
  author       = {Gonzalez-Diaz, Rocio and Soriano Trigueros, Manuel and Torras-Casas, Alvaro},
  booktitle    = {Proceedings of the 2025 International Symposium on Symbolic and Algebraic Computation},
  isbn         = {9798400720758},
  location     = {Guanajuato, Mexico},
  pages        = {188--196},
  publisher    = {Association for Computing Machinery},
  title        = {{Additive partial matchings for persistent homology}},
  doi          = {10.1145/3747199.3747561},
  year         = {2025},
}