EDBT 2026 Demo / reviewers in the wild / expert
Takanori Inazumi
dblp:60/8509
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2011
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-author
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 · 67% 3D vision · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Probabilistic and Bayesian machine learning › causal inference
causal discovery |
0.1 | 1 | 2011 | DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model · J. Mach. Learn. Res. 2011 |
Computer vision › 3D vision › structure from motion
direct method |
0.1 | 1 | 2011 | DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model · J. Mach. Learn. Res. 2011 |
Machine learning › Probabilistic and Bayesian machine learning › causal inference › causal discovery
linear non-gaussian acyclic model |
0.1 | 1 | 2011 | DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model · J. Mach. Learn. Res. 2011 |
Methods — techniques the papers use, named apart from their topics
independent component analysis · 0.1direct estimation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Discovering causal structures in binary exclusive-or skew acyclic models
Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki, Akihiro Yamamoto, Yoshinobu Kawahara |
UAI | 1 |
| 2011 | DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model
Shohei Shimizu, Takanori Inazumi, Yasuhiro Sogawa, Aapo Hyvärinen, Yoshinobu Kawahara, Takashi Washio, Patrik O. Hoyer, Kenneth Bollen |
J. Mach. Learn. Res. | 2 |