Demo Data from VLDB 2026 / reviewers in the wild / expert
Bradley C. A. Brown
dblp:324/2699
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 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.
| Artificial intelligence
1 paper |
Learning theory · 50% Representation and self-supervised learning · 50% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Learning theory › inductive bias
manifold hypothesis |
0.7 | 1 | 2023 | Verifying the Union of Manifolds Hypothesis for Image Data · ICLR 2023 |
Machine learning › Representation and self-supervised learning › representation learning
representation geometry |
0.7 | 1 | 2023 | Verifying the Union of Manifolds Hypothesis for Image Data · ICLR 2023 |
Methods — techniques the papers use, named apart from their topics
union of manifolds · 0.7manifold analysis · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Verifying the Union of Manifolds Hypothesis for Image Data
Bradley C. A. Brown, Anthony L. Caterini, Brendan Leigh Ross, Jesse C. Cresswell, Gabriel Loaiza-Ganem |
ICLR | 1 |