Demo Data from EDBT 2026 / reviewers in the wild / expert
Victor Blanchi
dblp:378/1335
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
0009-0005-4072-5828ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Theory 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 |
Combinatorics and discrete mathematics · 100% | |
| Artificial intelligence
1 paper |
Probabilistic and Bayesian machine learning · 100% |
Topics — the 1 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Combinatorics and discrete mathematics › random combinatorial structures
random partitions |
0.8 | 1 | 2024 | Element-free probability distributions and random partitions · LICS 2024 |
Methods — techniques the papers use, named apart from their topics
category theory · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Element-free probability distributions and random partitionsabstractAn "element-free" probability distribution is what remains of a probability distribution after we forget the elements to which the probabilities were assigned. These objects naturally arise in Bayesian statistics, in situations where elements are used as labels and their specific identity is not important. Victor Blanchi, Hugo Paquet |
LICS | 1 |