Causal inference at the Max-Planck-Institute for Intelligent Systems Tübingen.


The research of our group aims at developing novel methods for inferring causal relations from data. For a detailed description see

Members of the causality group:

Some publications and the available source code for them:

Cause-effect pairs dataset:

We are building a benchmark data set for causal discovery algorithms which focuses on the two-variable case. If you have interesting data that you would like to contribute please contact Jakob Zscheischler.