VLDB 2026 Research / reviewers in the wild / expert
Philip A. LeMaitre
dblp:368/8710
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2026
0000-0002-0414-5202ORCID · reported
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 |
Reinforcement learning · 50% Learning theory · 50% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Learning theory
inductive bias |
1.0 | 1 | 2026 | Multi-excitation projective simulation with a many-body physics-inspired inductive bias · Artif. Intell. 2026 |
Methods — techniques the papers use, named apart from their topics
projective simulation · 1.0many-body physics-inspired inductive bias · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Multi-excitation projective simulation with a many-body physics-inspired inductive bias
Philip A. LeMaitre, Marius Krumm, Hans J. Briegel |
Artif. Intell. | 1 |