Thibault Laugel

1. The Dangers of Post-hoc Interpretability: Unjustified Counterfactual\n Explanations
   2019/07/22 by Thibault Laugel, Laugel, Thibault, Marie‐Jeanne Lesot +7 · 7 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare
2. Defining Locality for Surrogates in Post-hoc Interpretablity
   2018/06/19 by Thibault Laugel, Laugel, Thibault, Xavier Renard +7 · 6 citations
   Computer Science · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification
3. Inverse Classification for Comparison-based Interpretability in Machine Learning
   2017/12/22 by Thibault Laugel, Marie‐Jeanne Lesot, Laugel, Thibault +7 · 6 citations
   Computer Science · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification
4. Why do explanations fail? A typology and discussion on failures in XAI
   2024/05/22 by Clara Bove, Thibault Laugel, Bove, Clara +7 · 4 citations
   Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Scientific Computing and Data Management #Semantic Web and Ontologies
5. SAKE: Steering Activations for Knowledge Editing
   2025/03/03 by Marco Scialanga, Scialanga, Marco, Thibault Laugel +5 · 4 citations
   Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #E-Learning and Knowledge Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Semantic Web and Ontologies #Wikis in Education and Collaboration