Demo Data from EDBT 2026 / reviewers in the wild / expert
Phanideep Gampa
dblp:243/7081
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Databases, data management, data science and information retrieval · 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% 3D vision · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › 3D vision › structure from motion
factorization |
0.5 | 1 | 2021 | Factorizing Declarative and Procedural Knowledge in Structured, Dynamical Environments · ICLR 2021 |
Machine learning › Reinforcement learning › reinforcement learning environment
structured environments |
0.5 | 1 | 2021 | Factorizing Declarative and Procedural Knowledge in Structured, Dynamical Environments · ICLR 2021 |
Methods — techniques the papers use, named apart from their topics
reinforcement learning · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Factorizing Declarative and Procedural Knowledge in Structured, Dynamical Environments
Anirudh Goyal, Alex Lamb, Phanideep Gampa, Philippe Beaudoin, Charles Blundell, Sergey Levine, Yoshua Bengio, Michael C. Mozer |
ICLR | 3 |
| 2021 | BanditRank: Learning to Rank Using Contextual Bandits
Phanideep Gampa, Sumio Fujita |
PAKDD (3) | 1 |