Demo Data from EDBT 2026 / reviewers in the wild / expert
Jacob Yasonik
dblp:258/7265
· 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.
| Artificial intelligence
1 paper |
Generative modeling · 50% Optimization for machine learning · 50% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Optimization for machine learning
differentiable optimization |
0.6 | 1 | 2022 | Differentiable Scaffolding Tree for Molecule Optimization · ICLR 2022 |
Machine learning › Generative modeling
molecular generation |
0.6 | 1 | 2022 | Differentiable Scaffolding Tree for Molecule Optimization · ICLR 2022 |
Bioinformatics and computational biology › drug discovery
molecular optimization |
0.6 | 1 | 2022 | Differentiable Scaffolding Tree for Molecule Optimization · ICLR 2022 |
Methods — techniques the papers use, named apart from their topics
graph optimization · 1.1differentiable scaffolding tree · 1.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Differentiable Scaffolding Tree for Molecule Optimization
Tianfan Fu, Wenhao Gao 0001, Cao Xiao, Jacob Yasonik, Connor W. Coley, Jimeng Sun 0001 |
ICLR | 4 |