Dominik Janzing - Concepedia

Author

Dominik Janzing

Max Planck Institute for Intelligent Systems

Also Known As

D Janzing, D. Janzing, DOMINIK JANZING, Dominik Janzing, Ghoshdastidar, Debarghya, Janzing, D., Janzing, Dominik, Schölkopf, Bernhard

237

Publications

7.2K

Citations

H-Index

138

Concepts

All Affiliations

Max Planck Institute for Intelligent Systems Max Planck Society Max Planck Institute for Biological Cybernetics Karlsruhe Institute of Technology Radboud University Nijmegen

About

Dominik Janzing is an author at Max Planck Institute for Intelligent Systems specializing in causal inference, causal reasoning, and public health.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	28	56	3.6K
2	Business	10	10	321
3	Management	3	3	508
4	Education	2	2	42
5	Medicine	2	2	61

Dominik Janzing

Publications

Citations

H-Index

Page 1

	Year	Citations
Nonlinear causal discovery with additive noise models Patrik O. Hoyer, Dominik Janzing, Joris M. Mooij,	2008	635
Kernel-based Conditional Independence Test and Application in Causal Discovery Kun Zhang, Jonas Peters, Dominik Janzing, arXiv (Cornell University) EngineeringData ScienceConditional IndependenceBayesian Network LearningGraphical Model	2012	346
Distinguishing cause from effect using observational data: methods and benchmarks Joris M. Mooij, Jonas Peters, Dominik Janzing, UvA-DARE (University of Amsterdam) Root Cause AnalysisCausal RelationshipsCausal Relation ExtractionCausal InferenceBenchmark Causeeffectpairs	2014	324
Causal discovery with continuous additive noise models Jonas Peters, Joris M. Mooij, Dominik Janzing, Journal of Machine Learning Research Independence ScoreEngineeringData ScienceGraphical ModelKnowledge Discovery	2014	284
Thermodynamic Cost of Reliability and Low Temperatures: Tightening Landauer's Principle and the Second Law Dominik Janzing International Journal of Theoretical Physics	2000	275
Information-geometric approach to inferring causal directions Dominik Janzing, Joris M. Mooij, Kun Zhang, Artificial Intelligence EngineeringAutomated ReasoningStatistical InferenceCausalityCausal Directions	2012	259
On causal and anticausal learning Dominik Janzing, Jonas Peters, Eleni Sgouritsa, International Conference on Machine Learning EngineeringMachine LearningCognitionCausal InferenceData Science	2012	228
Causal Inference Using the Algorithmic Markov Condition Dominik Janzing, Bernhard Schölkopf IEEE Transactions on Information Theory EngineeringComputational ComplexityProbabilistic ComputationCausal InferenceData Science	2010	218
Avoiding Discrimination through Causal Reasoning Niki Kilbertus, Mateo Rojas-Carulla, Giambattista Parascandolo, arXiv (Cornell University) EngineeringMachine LearningDiscriminationCausal InferenceData Science	2017	178
Feature relevance quantification in explainable AI: A causal problem Dominik Janzing, Lenon Minorics, Patrick Blöbaum arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningFeature RelevanceCausal Inference	2019	155

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