Demo Data from VLDB 2026 / reviewers in the wild / expert
Nate Clause
dblp:325/5230
· DBLP profile ↗
2ranked-venue papers
2as first author
2since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021Theory of computation · 1 · 1 first-author · 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 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational geometry › topological data analysis › persistent homology
multiparameter persistence |
0.7 | 1 | 2023 | Meta-Diagrams for 2-Parameter Persistence · SoCG 2023 |
Computational geometry › topological data analysis › persistent homology
persistence diagram |
0.7 | 1 | 2023 | Meta-Diagrams for 2-Parameter Persistence · SoCG 2023 |
Computational geometry › topological data analysis
persistent homology |
0.7 | 1 | 2023 | Meta-Diagrams for 2-Parameter Persistence · SoCG 2023 |
Computational geometry
topological data analysis |
0.7 | 1 | 2023 | Meta-Diagrams for 2-Parameter Persistence · SoCG 2023 |
Methods — techniques the papers use, named apart from their topics
möbius inversion · 0.7interleaving distance · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Meta-Diagrams for 2-Parameter Persistence
Nate Clause, Tamal K. Dey, Facundo Mémoli, Bei Wang 0001 |
Discret. Comput. Geom. | 1 |
| 2023 | Meta-Diagrams for 2-Parameter PersistenceabstractWe first introduce the notion of meta-rank for a 2-parameter persistence module, an invariant that captures the information behind images of morphisms between 1D slices of the module. We then define the meta-diagram of a 2-parameter persistence module to be the Möbius inversion of the meta-rank, resulting in a function that takes values from signed 1-parameter persistence modules. We show that the meta-rank and meta-diagram contain information equivalent to the rank invariant and the signed barcode. This equivalence leads to computational benefits, as we introduce an algorithm for computing the meta-rank and meta-diagram of a 2-parameter module $M$ indexed by a bifiltration of $n$ simplices in $O(n^3)$ time. This implies an improvement upon the existing algorithm for computing the signed barcode, which has $O(n^4)$ runtime. This also allows us to improve the existing upper bound on the number of rectangles in the rank decomposition of $M$ from $O(n^4)$ to $O(n^3)$. In addition, we define notions of erosion distance between meta-ranks and between meta-diagrams, and show that under these distances, meta-ranks and meta-diagrams are stable with respect to the interleaving distance. Lastly, the meta-diagram can be visualized in an intuitive fashion as a persistence diagram of diagrams, which generalizes the well-understood persistence diagram in the 1-parameter setting. Nate Clause, Tamal K. Dey, Facundo Mémoli, Bei Wang 0001 |
SoCG | 1 |