VLDB 2026 Research / reviewers in the wild / expert
R. D. Griffin
dblp:47/6121
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 1988
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2
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 |
Representation and self-supervised learning · 50% Deep learning architectures and training · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Representation and self-supervised learning › equivariance
equivariant representation |
0.0 | 1 | 1987 | Encoding Geometric Invariances in Higher-Order Neural Networks · NIPS 1987 |
Machine learning › Deep learning architectures and training › feedforward neural network
higher-order neural network |
0.0 | 1 | 1987 | Encoding Geometric Invariances in Higher-Order Neural Networks · NIPS 1987 |
Methods — techniques the papers use, named apart from their topics
higher-order neural networks · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1988 | Computational advantages of higher order neural networks
C. Lee Giles, R. D. Griffin, T. Maxwell |
Neural Networks | 2 |
| 1987 | Encoding Geometric Invariances in Higher-Order Neural Networks
C. Lee Giles, R. D. Griffin, T. Maxwell |
NIPS | 2 |