Discovering Invariant and Changing Mechanisms from Data. - Sarah Mameche; David Kaltenpoth; Jilles Vreeken (KDD, 2022)

Learning Causal Models under Independent Changes. - Sarah Mameche; David Kaltenpoth; Jilles Vreeken (NeurIPS, 2023)

An Information Theoretic Framework for Continual Learning of Causal Networks. - Osman Mian; Sarah Mameche (AAAI Bridge Program, 2024)

Identifying Confounding from Causal Mechanism Shifts. - Sarah Mameche; Jilles Vreeken; David Kaltenpoth (AISTATS, 2024)

Learning Causal Networks from Episodic Data. - Osman Mian; Sarah Mameche; Jilles Vreeken (KDD, 2024)

SPACETIME: Causal Discovery from Non-Stationary Time Series. - Sarah Mameche; Lénaïg Cornanguer; Urmi Ninad; Jilles Vreeken (AAAI, 2025)

Information-Theoretic Causal Discovery in Topological Order. - Sascha Xu; Sarah Mameche; Jilles Vreeken (AISTATS, 2025)