Demo Data from EDBT 2026 / reviewers in the wild / expert
Robin Kenis
dblp:391/8701
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
0009-0006-8016-740XORCID · 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 2021Graphics, computer vision, multimedia, augmented reality and games · 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 |
Probabilistic and Bayesian machine learning · 100% | |
| Theoretical computer science
1 paper |
Mathematical optimization · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Probabilistic and Bayesian machine learning › structured models › graphical models
markov random field |
0.8 | 1 | 2024 | Convex Relaxations for Manifold-Valued Markov Random Fields with Approximation Guarantees · ECCV (87) 2024 |
Mathematical optimization
convex relaxation |
0.8 | 1 | 2024 | Convex Relaxations for Manifold-Valued Markov Random Fields with Approximation Guarantees · ECCV (87) 2024 |
Methods — techniques the papers use, named apart from their topics
convex relaxation · 1.5approximation guarantees · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Convex Relaxations for Manifold-Valued Markov Random Fields with Approximation Guarantees
Robin Kenis, Emanuel Laude, Panagiotis Patrinos |
ECCV (87) | 1 |