Miriam Rateike

According to our database, Miriam Rateike authored at least 11 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Retrieval with Multiple Query Vectors through Anomalous Pattern Detection.

Allassan Tchangmena A Nken, Baimam Boukar Jean Jacques, Miriam Rateike, Celia Cintas, Skyler Speakman

CoRR, May, 2026

2025

Localizing Persona Representations in LLMs.

Celia Cintas, Miriam Rateike, Erik Miehling, Elizabeth Daly, Skyler Speakman

CoRR, May, 2025

Robustness and Cybersecurity in the EU Artificial Intelligence Act.

Henrik Nolte, Miriam Rateike, Michèle Finck

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

2024

Designing Long-term Group Fair Policies in Dynamical Systems.

Miriam Rateike, Isabel Valera, Patrick Forré

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Algorithmic Fairness Through the Lens of Metrics and Evaluation (AFME) 2024.

Miriam Rateike, Awa Dieng, Jamelle Watson-Daniels, Ferdinando Fioretto, Golnoosh Farnadi

Proceedings of the Workshop on Algorithmic Fairness Through the Lens of Metrics and Evaluation, 2024

2023

Weakly Supervised Detection of Hallucinations in LLM Activations.

Miriam Rateike, Celia Cintas, John Wamburu, Tanya Akumu, Skyler Speakman

CoRR, 2023

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

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 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

Proceedings of the Algorithmic Fairness through the Lens of Causality and Privacy Workshop, 2022

VACA: Designing Variational Graph Autoencoders for Causal Queries.

Pablo Sánchez-Martín, Miriam Rateike, Isabel Valera

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

VACA: Design of Variational Graph Autoencoders for Interventional and Counterfactual Queries.

Pablo Sánchez-Martín, Miriam Rateike, Isabel Valera

CoRR, 2021

Algorithmic Fairness through the Lens of Causality and Robustness (AFCR) 2021.

Jessica Schrouff, Awa Dieng, Miriam Rateike, Kweku Kwegyir-Aggrey, Golnoosh Farnadi

Proceedings of the Algorithmic Fairness through the Lens of Causality and Robustness Workshop, 2021