On Locality of Local Explanation Models. - Sahra Ghalebikesabi; Lucile Ter-Minassian; Karla DiazOrdaz; Chris C. Holmes (NeurIPS, 2021)

PWSHAP: A Path-Wise Explanation Model for Targeted Variables. - Lucile Ter-Minassian; Oscar Clivio; Karla DiazOrdaz; Robin J. Evans 002; Christopher C. Holmes (ICML, 2023)

Explainable AI for survival analysis: a median-SHAP approach. - Lucile Ter-Minassian; Sahra Ghalebikesabi; Karla Diaz-Ordaz; Chris C. Holmes (CoRR, 2024)

Extracting Paragraphs from LLM Token Activations. - Nicholas Pochinkov; Angelo Benoit; Lovkush Agarwal; Zainab Ali Majid; Lucile Ter-Minassian (CoRR, 2024)

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 (AISTATS, 2025)

Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation. - Lucile Ter-Minassian; Liran Szlak; Ehud Karavani; Christopher C. Holmes; Yishai Shimoni (AISTATS, 2025)

Democratizing AI Governance: Balancing Expertise and Public Participation. - Lucile Ter-Minassian (CoRR, 2025)