Lucile Ter-Minassian

According to our database, Lucile Ter-Minassian authored at least 7 papers between 2021 and 2025.

Collaborative distances:

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

2025

Democratizing AI Governance: Balancing Expertise and Public Participation.

Lucile Ter-Minassian

CoRR, February, 2025

Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation.

Lucile Ter-Minassian, Liran Szlak, Ehud Karavani, Christopher C. Holmes, Yishai Shimoni

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

Is Merging Worth It? Securely Evaluating the Information Gain for Causal Dataset Acquisition.

Jake Fawkes, Lucile Ter-Minassian, Desi R. Ivanova, Uri Shalit, Christopher C. Holmes

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Extracting Paragraphs from LLM Token Activations.

Nicholas Pochinkov, Angelo Benoit, Lovkush Agarwal, Zainab Ali Majid, Lucile Ter-Minassian

CoRR, 2024

Explainable AI for survival analysis: a median-SHAP approach.

Lucile Ter-Minassian, Sahra Ghalebikesabi, Karla Diaz-Ordaz, Chris C. Holmes

CoRR, 2024

2023

PWSHAP: A Path-Wise Explanation Model for Targeted Variables.

Lucile Ter-Minassian, Oscar Clivio, Karla DiazOrdaz, Robin J. Evans, Christopher C. Holmes

Proceedings of the International Conference on Machine Learning, 2023

2021

On Locality of Local Explanation Models.

Sahra Ghalebikesabi, Lucile Ter-Minassian, Karla DiazOrdaz, Chris C. Holmes

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021