EDBT 2026 Demo / reviewers in the wild / expert
Marian Mrozek
dblp:31/1491
· DBLP profile ↗
11ranked-venue papers
6as first author
3since 2021 · last 2026
0000-0002-0619-6417ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 6 · 2 first-author · 3 since 2021Graphics, computer vision, multimedia, augmented reality and games · 3 · 2 first-authorArtificial intelligence and machine learning · 1 · 1 first-authorComputer networks · 1 · 1 first-author
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | The Depth Poset Under Transpositions in the FilterabstractThe depth poset of a filtered Lefschetz complex reflects the dependencies between the cancellations of different shallow birth-death pairs. Using the fast algorithms for computing the depth poset in the present work and for updating the persistence diagram under transpositions (Vineyard persistence), we give a complete case analysis of how transpositions of cells in the filter affect the depth poset. In addition, we present statistics on the depth poset for random point data and its sensitivity to the transpositions that occur in random straight-line homotopies. Herbert Edelsbrunner, Michal Lipinski, Marian Mrozek, M. Soriano-Trigueros, Fedor Zimin |
SoCG | 3 |
| 2022 | Tracking Dynamical Features via Continuation and PersistenceabstractMultivector fields and combinatorial dynamical systems have recently become a subject of interest due to their potential for use in computational methods. In this paper, we develop a method to track an isolated invariant set - a salient feature of a combinatorial dynamical system - across a sequence of multivector fields. This goal is attained by placing the classical notion of the "continuation" of an isolated invariant set in the combinatorial setting. In particular, we give a "Tracking Protocol" that, when given a seed isolated invariant set, finds a canonical continuation of the seed across a sequence of multivector fields. In cases where it is not possible to continue, we show how to use zigzag persistence to track homological features associated with the isolated invariant sets. This construction permits viewing continuation as a special case of persistence. Tamal K. Dey, Michal Lipinski, Marian Mrozek, Ryan Slechta |
SoCG | 3 |
| 2021 | A topological method for finding invariant sets of continuous systems
Laurent Fribourg, Eric Goubault, Sameh Mohamed, Marian Mrozek, Sylvie Putot |
Inf. Comput. | 4 |
| 2020 | Persistence of the Conley Index in Combinatorial Dynamical SystemsabstractA combinatorial framework for dynamical systems provides an avenue for connecting classical dynamics with data-oriented, algorithmic methods. Combinatorial vector fields introduced by Forman and their recent generalization to multivector fields have provided a starting point for building such a connection. In this work, we strengthen this relationship by placing the Conley index in the persistent homology setting. Conley indices are homological features associated with so-called isolated invariant sets, so a change in the Conley index is a response to perturbation in an underlying multivector field. We show how one can use zigzag persistence to summarize changes to the Conley index, and we develop techniques to capture such changes in the presence of noise. We conclude by developing an algorithm to track features in a changing multivector field. Tamal K. Dey, Marian Mrozek, Ryan Slechta |
SoCG | 2 |
| 2012 | Homological methods for extraction and analysis of linear features in multidimensional images
Marian Mrozek, Marcin Zelawski, A. Gryglewski, A. Krajniak |
Pattern Recognit. | 1 |
| 2011 | Coreduction Homology Algorithm for Regular CW-ComplexesabstractIn this paper we present a new algorithm for computing the homology of regular CW-complexes. This algorithm is based on the coreduction algorithm due to Mrozek and Batko and consists essentially of a geometric preprocessing algorithm for the standard chain complex generated by a CW-complex. By employing the concept of S-complexes the original chain complex can—in all known practical cases—be reduced to a significantly smaller S-complex with isomorphic homology, which can then be computed using standard methods. Furthermore, we demonstrate that in the context of non-uniform cubical grids this method significantly improves currently available algorithms based on uniform cubical grids. Pawel Dlotko, Tomasz Kaczynski, Marian Mrozek, Thomas Wanner |
Discret. Comput. Geom. | 3 |
| 2010 | Cech Type Approach to Computing Homology of Maps
Marian Mrozek |
Discret. Comput. Geom. | 1 |
| 2009 | Coreduction Homology Algorithm
Marian Mrozek, Bogdan Batko |
Discret. Comput. Geom. | 1 |
| 1996 | Rigorous Error Analysis of Numerical Algorithms via Symbolic Computations
Marian Mrozek |
J. Symb. Comput. | 1 |
| 1989 | Transitively reduced and transitively closed event networksabstractAbstract We present the notion of a generalized inverse of a digraph. The notion includes two different kinds of event networks, both discussed in literature. We show how different techniques used separately in both special cases can be applied to the general case. We prove that the problem of minimization of the number of dummy arcs among al event networks having the minimum number of vertices is polynomially transformable to a certain covering problem. We use the transformation method to provide a necessary and sufficient condition for a certain suboptimal solution to the problem to be optimal in general. We show that the verification of this condition can be done in polynomial time. Marian Mrozek |
Networks | 1 |
| 1981 | Generalized inverse of a finite graph
Marian Mrozek |
Fundam. Informaticae | 1 |