Proximity of persistence modules and their diagrams
By Frédéric Chazal, David Cohen-Steiner, Marc Glisse, Leonidas J. Guibas, Steve Y. Oudot. SCG '09, 2009
536 citations recorded by the source corpus.
Subfields: Biological Psychiatry, Computational Theory and Mathematics, Mathematical Physics
View Paper: https://www.semanticscholar.org/paper/8fb71b5a8b420ca9cc98d5d6137ffbffa80cbc9a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- Frédéric Chazal
- Bertrand Michel
- Vin de Silva
- W. Crawley‐Boevey
- Chad Giusti
- Omer Bobrowski
- Jonathan E. Taylor
- Heather A. Harrington
In Mathematical Physics
- Frédéric Chazal
- Jun Zhang
- Vin de Silva
- W. Crawley‐Boevey
- Bertrand Michel
- Michael Usher
- Larry A. Wasserman
- Andrea Cerri
Citations in the corpus
- Decomposition of pointwise finite-dimensional persistence modules (2012, background): “Persistence modules indexed by the natural numbers were introduced in [11] as algebraic objects underlying persistent homology, but other indexing sets are of interest, especially the real numbers—see [1, 2, 3, 4, 8].”
- The Structure and Stability of Persistence Modules (2012, background): “We prove the nontrivial result (from [6]) that if two persistence modules are δ-interleaved, then they are connected in the space of persistence modules by a path of length δ.”
- Betti numbers in multidimensional persistent homology are stable functions (2013, background): “In these papers, it is gained as a direct consequence of assuming that the filtering functions [20] or the persistence modules [22] are tame.”
- Persistent homology and Floer-Novikov theory (2015, methodology): “originally established for the persistence modules associated to “tame” functions on topological spaces in [CEH07]; since then a variety of different proofs and generalizations have appeared (see e.g. [CCGGO09], [BL14]), and it now generally understoodas an algebraic statement in the abstract context”
- Asymptotic theory for density ridges (2014, background): “Second, as is shown in Genovese et al. (2014), when a topological assumption called tameness is assumed [CohenSteiner, Edelsbrunner and Harer (2007), Chazal et al. (2009, 2012)], then Rh and R have the same topology for small h.”
- A roadmap for the computation of persistent homology (2015, result): “This result was generalized in the papers [17,20,26].”
- An Introduction to Topological Data Analysis: Fundamental and Practical Aspects for Data Scientists (2017, background): “Under similar but slightly more technical conditions the Reconstruction Theorem can be extended to prove that the sublevel sets are indeed homeomorphic and even isotopic Chazal et al. (2009c, 2008).”
- Topological Consistency via Kernel Estimation (2014, background): “This alternating sequence is called ‘interleaving’ and the work in [15] provides means to bound the distance between the persistent homology computed for these two types of filtrations.”
- Persistence stability for geometric complexes (2012, background): “Following [4,7] we say that a persistence module V is q-tame if rank(vb a) < ∞ whenever a < b.”
- Clique topology reveals intrinsic geometric structure in neural correlations (2015, background): “Further work has broadened this result by developing more complete theoretical tools for the comparison of persistence structures, divorcing their stability from any underlying geometry [24, 25, 26].”
- Persistent Convolution: A Topological Framework for AI Alignment Testing and Semantic Space Characterization (2026, unknown): “Stable persistence diagrams can be constructed from q-tame persistence modules (Chazal et al., 2009) (Chazal et al., 2016).”