A meticulously curated collection of cutting-edge research, frameworks, and methodologies in Causal Artificial Intelligence.

Causal inference methods for -omics research

Weighted doubly robust learning for uplift modeling

Official reproducibility experiments of the Thesis "Large Causal Models for Temporal Causal Discovery" at the University of Crete, Computer Science Department.

A simple way to visualize discrepancies between causal matrices of true and predicted directed acyclic graph

My Master's dissertation, Large Causal Models for Temporal Causal Discovery.