Demo Data from EDBT 2026 / reviewers in the wild / expert
Kirill M. Gerke
dblp:216/9784
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 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 |
Geometric modeling and processing · 100% | |
| Artificial intelligence
1 paper |
Optimization for machine learning · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing › 3d reconstruction
microstructure reconstruction |
1.0 | 1 | 2026 | A sliced-Wasserstein and neural network framework for statistically controllable 3D microstructure reconstruction · Comput. Aided Des. 2026 |
Machine learning › Optimization for machine learning › optimal transport
sliced wasserstein distance |
0.3 | 1 | 2026 | A sliced-Wasserstein and neural network framework for statistically controllable 3D microstructure reconstruction · Comput. Aided Des. 2026 |
Methods — techniques the papers use, named apart from their topics
neural network · 2.0sliced-wasserstein · 1.0sliced wasserstein · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | A sliced-Wasserstein and neural network framework for statistically controllable 3D microstructure reconstruction
Zhenchuan Ma, Qizhi Teng, Pengcheng Yan, Lindong Li, Kirill M. Gerke, Marina V. Karsanina, Xiaohai He |
Comput. Aided Des. | 5 |