Algorithmic Fairness through the Lens of Causality and Robustness (AFCR) 2021. - Jessica Schrouff; Awa Dieng; Miriam Rateike; Kweku Kwegyir-Aggrey; Golnoosh Farnadi (AFCR, 2021)

VACA: Design of Variational Graph Autoencoders for Interventional and Counterfactual Queries. - Pablo Sánchez-Martín; Miriam Rateike; Isabel Valera (CoRR, 2021)

VACA: Designing Variational Graph Autoencoders for Causal Queries. - Pablo Sánchez-Martín; Miriam Rateike; Isabel Valera (AAAI, 2022)

Algorithmic Fairness through the Lens of Causality and Privacy (AFCP) 2022. - Awa Dieng; Miriam Rateike; Golnoosh Farnadi; Ferdinando Fioretto; Matt J. Kusner; Jessica Schrouff (AFCP, 2022)

Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making. - Miriam Rateike; Ayan Majumdar; Olga Mineeva; Krishna P. Gummadi; Isabel Valera (FAccT, 2022)

Weakly Supervised Detection of Hallucinations in LLM Activations. - Miriam Rateike; Celia Cintas; John Wamburu; Tanya Akumu; Skyler Speakman (CoRR, 2023)

Designing Long-term Group Fair Policies in Dynamical Systems. - Miriam Rateike; Isabel Valera; Patrick Forré (FAccT, 2024)

Robustness and Cybersecurity in the EU Artificial Intelligence Act. - Henrik Nolte; Miriam Rateike; Michèle Finck (FAccT, 2025)

Localizing Persona Representations in LLMs. - Celia Cintas; Miriam Rateike; Erik Miehling; Elizabeth Daly; Skyler Speakman (CoRR, 2025)