Interventional Causal Discovery
Interventional Causal Discovery is a methodological framework within causal inference that distinguishes itself by identifying causal structures through the analysis of data generated under deliberate interventions, as opposed to purely observational data.
7
Publications
171
Citations
30
Authors
16
Institutions
Publications per year
2017–2026
5
Parents
7
Causal Interventional Training for Image Recognition
Wei Qin, Hanwang Zhang, Richang Hong et al. · IEEE Transactions on Multimedia · 2021 · 34 citations · Full text
Cyclic Causal Discovery from Continuous Equilibrium Data
Joris M. Mooij, Tom Heskes · arXiv (Cornell University) · 2013 · 25 citations · Full text
Engineering, Biology, Biostatistics +16
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30
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16
Science for Life Laboratory
Stockholm, Sweden
1 h-index
7 publications
70 citations
University of Oxford
Oxford, United Kingdom
1 h-index
1 publications
10 citations

Radboud University Nijmegen
Nijmegen, The Netherlands
1 h-index
2 publications
50 citations

King Abdullah University of Science and Technology
Jeddah, Saudi Arabia
1 h-index
1 publications
10 citations

University of Göttingen
Göttingen, Germany
1 h-index
3 publications
120 citations

Université Laval
Québec, Canada
1 h-index
1 publications
17 citations
Nanyang Technological University
Singapore, Singapore
1 h-index
1 publications
34 citations

University of Amsterdam
Amsterdam, The Netherlands
1 h-index
1 publications
25 citations
1–8 of 16
Repository · 2 publications · 42 citations
2
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1 publications · 34 citations
1
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1 publications · 40 citations
1
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Repository · 1 publications · 10 citations
1
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1 publications · 30 citations
1
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1–5