Computational Persistence 2023
Sep 25 - 29, Purdue University, Indiana

Photo taken on the final day of the workshop (West Lafayette, IN, Sep 29, 2023)



About the Workshop

The 3rd workshop on Computational Persistence (ComPer 2023) will take place from Sep 25 to Sep 29 in hybrid mode at Purdue University, West Lafayette, Indiana. This workshop provides a forum to exchange ideas on computational aspects of topological persistence that fertilize advances in topological data analysis.

The schedule will be composed of invited and contributed talks on computational aspects of topological data analysis. Contributed talks can be suggested in the form of an abstract of at most two pages. A scientific committee will check the submissions and make a selection.

The first two issues of the workshop were online conferences - the upcoming workshop is the first one where on-site participation is possible. We encourage this option, but equally welcome submissions of researchers that attend remotely.




Local Organizers

  • Tamal K. Dey, Soham Mukherjee, Shreyas Samaga (Purdue), Tao Hou (DePaul)


Scientific Committee

  • Tamal Dey (Purdue University)
  • Tao Hou (DePaul University)
  • Michael Kerber (Graz University of Technology)
  • Steve Oudot (INRIA Saclay)
  • Yusu Wang (Univ of California, San Diego)


Date and Time

  • September 25-29, 2023, 10am—1:30pm EST


Invited Speakers

  • Michael Lesnick (U. Albany)
  • Peter Bubenik (U. Florida)
  • Guo-Wei Wei (Michigan State U.)
  • Omer Bobrowski (Technion Institute)
  • Andrew Blumberg (Columbia U.)
  • Sarah Tymochko (UCLA)
  • Brittany Fasy (Montana State)
  • Teresa Heiss (IST, Austria)


Accepted Contributed Talks

*(presenter is in bold)

  • Tim Downing and Alexander D. Rahm. New tools for studying the topology of bacterial protein interaction networks
  • Wenwen Li. Multiparameter persistence homology and topological robotics
  • Isaac Ren. Computing relative Betti diagrams of multipersistence modules using Koszul complexes
  • Hana Dal Poz Kourimska, Mathijs Wintraecken, Dominique Attali, Andre Lieutier, Christopher Fillmore, Ishika Ghosh and Elizabeth Stephenson. Tight bounds for the learning of homotopy a la Niyogi, Smale, and Weinberger for subsets of Euclidean spaces and of Riemannian manifolds
  • Jiajie Luo and Gregory Henselman-Petrusek. Algorithmic Interval Decomposition for Persistence Modules of Free Abelian Groups
  • Chunyin Siu, Gennady Samorodnitsky, Christina Lee Yu and Rongyi He. The Asymptotics of the Expected Betti Numbers of Preferential Attachment Clique Complexes -- Theory and Computational Challenges
  • Marc Ethier, Patrizio Frosini, Nicola Quercioli and Francesca Tombari. Geometry of the matching distance for 2D filtering functions
  • Håvard Bakke Bjerkevik. Stabilizing decomposition of multiparameter persistence modules
  • Tamal Dey and Abhishek Rathod. Cup Product Persistence and Its Efficient Computation
  • Barbara Giunti and Jānis Lazovskis. Pruning vineyards: updating barcodes by removing simplices
  • Matt Piekenbrock and Jose A. Perea. Spectral families of persistent rank invariants
  • Elizabeth Munch, Erin Chambers, Sarah Percival and Bei Wang. Bounding the Interleaving Distance for Geometric Graphs with a Loss Function
  • Sarah McGuire, Elizabeth Munch and Matthew Hirn. NervePool: a simplicial pooling layer
  • Sunia Tanweer, Firas Khasawneh, Elizabeth Munch and Joshua Templeman. A Topological Framework for Identifying Phenomenological Bifurcations in Stochastic Dynamical Systems
  • Xinyi Wang, Elizabeth Munch, Erin Wolf Chambers and Sarah Percival. A Distance for Geometric Graphs via the Labeled Merge Tree Interleaving Distance
  • Audun Myers, David Munoz, Firas Khasawneh and Elizabeth Munch. Temporal Network Analysis Using Zigzag Persistence