Updated 10 months ago

nl-causal-representations • Rank 6.1 • Science 67%

This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (particularly, with Nonlinear ICA) can be used to extract the causal graph from an underlying structural equation model (SEM).

Updated 10 months ago

RecursiveCausalDiscovery • Science 54%

Recursive causal discovery with Julia