Demo Data from EDBT 2026 / reviewers in the wild / expert
Rigel Swavely
dblp:298/0843
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 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.
| Computer graphics and multimedia
1 paper |
Audio and music processing · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Audio and music processing
music generation |
0.6 | 1 | 2022 | MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling · ICLR 2022 |
Audio and music processing › sound synthesis
music synthesis |
0.6 | 1 | 2022 | MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling · ICLR 2022 |
Methods — techniques the papers use, named apart from their topics
hierarchical modeling · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling
Yusong Wu, Ethan Manilow, Rigel Swavely, Kyle Kastner, Tim Cooijmans, Aaron C. Courville, Cheng-Zhi Anna Huang, Jesse H. Engel |
ICLR | 4 |