Discovering Fully Oriented Causal Networks. - Osman Mian; Alexander Marx 001; Jilles Vreeken (AAAI, 2021)

Inferring Cause and Effect in the Presence of Heteroscedastic Noise. - Sascha Xu; Osman Mian; Alexander Marx 001; Jilles Vreeken (ICML, 2022)

Regret-based Federated Causal Discovery. - Osman Mian; David Kaltenpoth; Michael Kamp (CD@KDD, 2022)

Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments. - Osman Mian; Michael Kamp; Jilles Vreeken (AAAI, 2023)

Nothing but Regrets - Privacy-Preserving Federated Causal Discovery. - Osman Mian; David Kaltenpoth; Michael Kamp; Jilles Vreeken (AISTATS, 2023)

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

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

Seqret: Mining Rule Sets from Event Sequences. - Aleena Siji; Joscha Cüppers; Osman Ali Mian; Jilles Vreeken (CoRR, 2025)