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Ter-Minassian, Lucile

  1. On Locality of Local Explanation Models
    2021/06/24 by Sahra Ghalebikesabi, Lucile Ter-Minassian, Ghalebikesabi, Sahra +5 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Bayesian Modeling and Causal Inference #Computation (stat.CO) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
  2. Extracting Paragraphs from LLM Token Activations
    2024/09/10 by Nicholas Pochinkov, Pochinkov, Nicholas, A. Benoı̂t +6 · 3 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Mathematics, Computing, and Information Processing #Natural Language Processing Techniques
  3. Explainable AI for survival analysis: a median-SHAP approach
    2024/01/30 by Lucile Ter-Minassian, Ter-Minassian, Lucile, Sahra Ghalebikesabi +5 · 2 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
  4. Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation
    2024/01/31 by Lucile Ter-Minassian, Liran Szlak, Ter-Minassian, Lucile +7 · 1 citation
    Computer Science · Engineering · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
  5. Democratizing AI Governance: Balancing Expertise and Public Participation
    2025/01/16 by Ter-Minassian, Lucile · 1 citation
    #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  6. Is merging worth it? Securely evaluating the information gain for causal dataset acquisition
    2024/09/11 by Jake Fawkes, Fawkes, Jake, Lucile Ter-Minassian +7 · 1 citation
    Computer Science · #Bayesian Modeling and Causal Inference #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)