Follow
Dominik Janzing
Dominik Janzing
Amazon Development Center, Tuebingen
Verified email at amazon.com
Title
Cited by
Cited by
Year
Elements of causal inference: foundations and learning algorithms
J Peters, D Janzing, B Schölkopf
The MIT Press, 2017
21032017
Nonlinear causal discovery with additive noise models
P Hoyer, D Janzing, JM Mooij, J Peters, B Schölkopf
Advances in neural information processing systems 21, 2008
11602008
Avoiding discrimination through causal reasoning
N Kilbertus, M Rojas Carulla, G Parascandolo, M Hardt, D Janzing, ...
Advances in neural information processing systems 30, 2017
6932017
Kernel-based conditional independence test and application in causal discovery
K Zhang, J Peters, D Janzing, B Schölkopf
arXiv preprint arXiv:1202.3775, 2012
6832012
On causal and anticausal learning
B Schölkopf, D Janzing, J Peters, E Sgouritsa, K Zhang, J Mooij
arXiv preprint arXiv:1206.6471, 2012
6432012
Causal discovery with continuous additive noise models
J Peters, JM Mooij, D Janzing, B Schölkopf
5782014
Distinguishing cause from effect using observational data: methods and benchmarks
JM Mooij, J Peters, D Janzing, J Zscheischler, B Schölkopf
Journal of Machine Learning Research 17 (32), 1-102, 2016
5462016
Information-geometric approach to inferring causal directions
D Janzing, J Mooij, K Zhang, J Lemeire, J Zscheischler, P Daniušis, ...
Artificial Intelligence 182, 1-31, 2012
3572012
Thermodynamic cost of reliability and low temperatures: Tightening Landauer's principle and the second law
D Janzing, P Wocjan, R Zeier, R Geiss, T Beth
International Journal of Theoretical Physics 39, 2717-2753, 2000
3352000
Causal inference using the algorithmic Markov condition
D Janzing, B Schölkopf
IEEE Transactions on Information Theory 56 (10), 5168-5194, 2010
3212010
Feature relevance quantification in explainable AI: A causal problem
D Janzing, L Minorics, P Blöbaum
International Conference on artificial intelligence and statistics, 2907-2916, 2020
3122020
Quantifying causal influences
D Janzing, D Balduzzi, M Grosse-Wentrup, B Schölkopf
2642013
Inferring deterministic causal relations
P Daniusis, D Janzing, J Mooij, J Zscheischler, B Steudel, K Zhang, ...
arXiv preprint arXiv:1203.3475, 2012
2122012
Causal inference on time series using restricted structural equation models
J Peters, D Janzing, B Schölkopf
Advances in neural information processing systems 26, 2013
2102013
Causal inference on discrete data using additive noise models
J Peters, D Janzing, B Scholkopf
IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (12), 2436 …, 2011
1942011
Identifiability of causal graphs using functional models
J Peters, J Mooij, D Janzing, B Schölkopf
arXiv preprint arXiv:1202.3757, 2012
1752012
Regression by dependence minimization and its application to causal inference in additive noise models
J Mooij, D Janzing, J Peters, B Schölkopf
Proceedings of the 26th annual international conference on machine learning …, 2009
1682009
A quantum advantage for inferring causal structure
K Ried, M Agnew, L Vermeyden, D Janzing, RW Spekkens, KJ Resch
Nature Physics 11 (5), 414-420, 2015
1562015
Probabilistic latent variable models for distinguishing between cause and effect
O Stegle, D Janzing, K Zhang, JM Mooij, B Schölkopf
Advances in neural information processing systems 23, 2010
1522010
From ordinary differential equations to structural causal models: the deterministic case
JM Mooij, D Janzing, B Schölkopf
arXiv preprint arXiv:1304.7920, 2013
1152013
The system can't perform the operation now. Try again later.
Articles 1–20