1 citations · 2 across the 8 of their papers we have counts for
3 papers · 1 filter
CausalPlayground: Addressing Data-Generation Requirements in Cutting-Edge Causality Research
Andreas W M Sauter, Erman Acar, Aske Plaat
Research on causal effects often relies on synthetic data due to the scarcity of real-world datasets with ground-truth effects. Since current data-generating tools do not always me…
CAGE: Causality-Aware Shapley Value for Global Explanations
Nils Ole Breuer, Andreas Sauter, Majid Mohammadi +1
As Artificial Intelligence (AI) is having more influence on our everyday lives, it becomes important that AI-based decisions are transparent and explainable. As a consequence, the…
CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning
Andreas W. M. Sauter, Nicolò Botteghi, Erman Acar +1
Causal discovery is the challenging task of inferring causal structure from data. Motivated by Pearl's Causal Hierarchy (PCH), which tells us that passive observations alone are no…