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Tim Mayr

dblp:439/8456 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Computational geometry · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational geometry › topological data analysis › persistent homology › multiparameter persistence
multicover bifiltration
1.012026
Persistence Meets Resistance: Doubling down on Hardness · ICALP 2026
Computational geometry › topological data analysis › persistent homology
multiparameter persistence
1.012026
Persistence Meets Resistance: Doubling down on Hardness · ICALP 2026
Computational geometry
topological data analysis
1.012026
Persistence Meets Resistance: Doubling down on Hardness · ICALP 2026
YearPublicationVenuePosition
2026 Persistence Meets Resistance: Doubling down on Hardness
abstract
Given a finite set A ⊂ ℝ^d, let Cov_{r,k} denote the set of all points within distance r to at least k points of A. Allowing r and k to vary, we obtain a 2-parameter family of spaces that grow larger when r increases or k decreases, called the multicover bifiltration. Motivated by the problem of computing the homology of this bifiltration, we introduce two closely related combinatorial bifiltrations, one polyhedral and the other simplicial, which are both topologically equivalent to the multicover bifiltration and far smaller than a Čech-based model considered in prior work of Sheehy. Our polyhedral construction is a bifiltration of the rhomboid tiling of Edelsbrunner and Osang, and can be efficiently computed using a variant of an algorithm given by these authors as well. Using an implementation for dimension 2 and 3, we provide experimental results. Our simplicial construction is useful for understanding the polyhedral construction and proving its correctness.
Benedikt Kolbe, Tim Mayr
ICALP2