GLocalX -- From Local to Global Explanations of Black Box AI Models

GLocalX -- From Local to Global Explanations of Black Box AI Models

19 January 2021

Riccardo Guidotti

Papers citing "GLocalX -- From Local to Global Explanations of Black Box AI Models"

15 / 15 papers shown

Title
MoRE-LLM: Mixture of Rule Experts Guided by a Large Language Model Alexander Koebler Ingo Thon Florian Buettner 37 0 0 26 Mar 2025
ExplainReduce: Summarising local explanations via proxies Lauri Seppäläinen Mudong Guo Kai Puolamäki FAtt 52 0 0 17 Feb 2025
On the Complexity of Global Necessary Reasons to Explain Classification M. Calautti Enrico Malizia Cristian Molinaro FAtt 63 0 0 12 Jan 2025
Axiomatic Characterisations of Sample-based Explainers Leila Amgoud Martin Cooper Salim Debbaoui FAtt 33 1 0 09 Aug 2024
Logical Distillation of Graph Neural Networks Alexander Pluska Pascal Welke Thomas Gärtner Sagar Malhotra 28 0 0 11 Jun 2024
Explaining Predictions by Characteristic Rules Amr Alkhatib Henrik Bostrom Michalis Vazirgiannis 27 5 0 31 May 2024
Glocal Explanations of Expected Goal Models in Soccer Mustafa Cavus Adrian Stando P. Biecek 35 4 0 29 Aug 2023
A User Study on Explainable Online Reinforcement Learning for Adaptive Systems Andreas Metzger Jan Laufer Felix Feit Klaus Pohl OffRL OnRL 24 1 0 09 Jul 2023
Reason to explain: Interactive contrastive explanations (REASONX) Laura State Salvatore Ruggieri Franco Turini LRM 30 1 0 29 May 2023
A $k$ -additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learning G. D. Pelegrina L. Duarte M. Grabisch FAtt TDI 35 27 0 03 Nov 2022
Leveraging Explanations in Interactive Machine Learning: An Overview Stefano Teso Öznur Alkan Wolfgang Stammer Elizabeth M. Daly XAI FAtt LRM 26 62 0 29 Jul 2022
Towards Explainable Evaluation Metrics for Natural Language Generation Christoph Leiter Piyawat Lertvittayakumjorn M. Fomicheva Wei-Ye Zhao Yang Gao Steffen Eger AAML ELM 24 20 0 21 Mar 2022
Diagnosing AI Explanation Methods with Folk Concepts of Behavior Alon Jacovi Jasmijn Bastings Sebastian Gehrmann Yoav Goldberg Katja Filippova 36 15 0 27 Jan 2022
Model Learning with Personalized Interpretability Estimation (ML-PIE) M. Virgolin A. D. Lorenzo Francesca Randone Eric Medvet M. Wahde 24 29 0 13 Apr 2021
Learning Certifiably Optimal Rule Lists for Categorical Data E. Angelino Nicholas Larus-Stone Daniel Alabi Margo Seltzer Cynthia Rudin 60 195 0 06 Apr 2017