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Explaining the Explainer: A First Theoretical Analysis of LIME

10 January 2020

Papers citing "Explaining the Explainer: A First Theoretical Analysis of LIME"

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Title
Enhancing IoMT Security with Explainable Machine Learning: A Case Study on the CICIOMT2024 Dataset Mohammed Yacoubi Omar Moussaoui C. Drocourt 0 0 0 10 Sep 2025
Explainable Knowledge Graph Retrieval-Augmented Generation (KG-RAG) with KG-SMILE Zahra Zehtabi Sabeti Moghaddam Zeinab Dehghani Maneeha Rani Koorosh Aslansefat B. Mishra R. R. Kureshi D. Thakker 60 0 0 03 Sep 2025
AttnBoost: Retail Supply Chain Sales Insights via Gradient Boosting Perspective Muxin Ge Hanyu Ma Yiyang Wu Xiaoli Ma Yadi Liu Ye Aung Moe Weizheng Xie 0 0 0 01 Sep 2025
Informative Post-Hoc Explanations Only Exist for Simple Functions Eric Günther Balázs Szabados Robi Bhattacharjee Sebastian Bordt U. V. Luxburg FAtt 32 0 0 15 Aug 2025
Attribution Explanations for Deep Neural Networks: A Theoretical Perspective Huiqi Deng Hongbin Pei Quanshi Zhang Mengnan Du FAtt 55 1 0 11 Aug 2025
Justified Evidence Collection for Argument-based AI Fairness Assurance Alpay Sabuncuoglu Christopher Burr Carsten Maple 105 0 0 12 May 2025
Explanations Go Linear: Interpretable and Individual Latent Encoding for Post-hoc Explainability Simone Piaggesi Riccardo Guidotti F. Giannotti D. Pedreschi FAtt LRM 635 0 0 29 Apr 2025
Towards responsible AI for education: Hybrid human-AI to confront the Elephant in the room Danial Hooshyar Gustav Šír Yeongwook Yang Eve Kikas Raija Hamalainen T. Karkkainen Dragan Gašević Roger Azevedo 157 0 0 22 Apr 2025
Towards Explainable Fusion and Balanced Learning in Multimodal Sentiment Analysis Miaosen Luo Yuncheng Jiang Sijie Mai 170 1 0 16 Apr 2025
ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Chhavi Yadav Evan Monroe Laufer Dan Boneh Kamalika Chaudhuri 301 1 0 06 Feb 2025
The Effect of Similarity Measures on Accurate Stability Estimates for Local Surrogate Models in Text-based Explainable AI Christopher Burger Charles Walter Thai Le AAML 251 3 0 20 Jan 2025
Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers Tobias Leemann Alina Fastowski Felix Pfeiffer Gjergji Kasneci 267 6 0 10 Jan 2025
Towards Robust and Accurate Stability Estimation of Local Surrogate Models in Text-based Explainable AI Christopher Burger Charles Walter Thai Le Lingwei Chen AAML 138 1 0 03 Jan 2025
Mapping the Mind of an Instruction-based Image Editing using SMILE Zeinab Dehghani Koorosh Aslansefat Adil Khan Adín Ramirez Rivera Franky George Muhammad Khalid DiffM 240 3 0 20 Dec 2024
CHILLI: A data context-aware perturbation method for XAI Saif Anwar Nathan Griffiths A. Bhalerao T. Popham 124 0 0 10 Jul 2024
A Theory of Interpretable Approximations Marco Bressan Nicolò Cesa-Bianchi Emmanuel Esposito Yishay Mansour Shay Moran Maximilian Thiessen FAtt 122 6 0 15 Jun 2024
Why do explanations fail? A typology and discussion on failures in XAI Clara Bove Thibault Laugel Marie-Jeanne Lesot C. Tijus Marcin Detyniecki 105 6 0 22 May 2024
Explainable Lung Disease Classification from Chest X-Ray Images Utilizing Deep Learning and XAI Tanzina Taher Ifty Saleh Ahmed Shafin Shoeb Mohammad Shahriar Tashfia Towhid 75 15 0 17 Apr 2024
Using Stratified Sampling to Improve LIME Image Explanations Muhammad Rashid E. Amparore Enrico Ferrari Damiano Verda FAtt 81 5 0 26 Mar 2024
Artificial Intelligence and Diabetes Mellitus: An Inside Look Through the Retina Yasin Sadeghi Bazargani Majid Mirzaei Navid Sobhi M. Abdollahi Ali Jafarizadeh Siamak Pedrammehr R. Alizadehsani R. Tan Sheikh Mohammad Shariful Islam U. R. Acharya 92 8 0 28 Feb 2024
Interpretable Short-Term Load Forecasting via Multi-Scale Temporal Decomposition Yuqi Jiang Yan Li Yize Chen AI4TS 200 6 0 18 Feb 2024
Dual feature-based and example-based explanation methods A. Konstantinov Boris V. Kozlov Stanislav R. Kirpichenko Lev V. Utkin FAtt 154 0 0 29 Jan 2024
Learning Performance Maximizing Ensembles with Explainability Guarantees Vincent Pisztora Jia Li 180 0 0 20 Dec 2023
SurvBeNIM: The Beran-Based Neural Importance Model for Explaining the Survival Models Lev V. Utkin Danila Eremenko A. Konstantinov 123 0 0 11 Dec 2023
Ensemble Interpretation: A Unified Method for Interpretable Machine Learning Chao Min Guoyong Liao Guo-quan Wen Yingjun Li Xing Guo FAtt 122 2 0 11 Dec 2023
Explainable Fraud Detection with Deep Symbolic Classification Samantha Visbeek Erman Acar Floris den Hengst FaML 125 5 0 01 Dec 2023
Uncertainty in Additive Feature Attribution methods Abhishek Madaan Tanya Chowdhury Neha Rana James Allan Tanmoy Chakraborty 111 0 0 29 Nov 2023
InterPrompt: Interpretable Prompting for Interrelated Interpersonal Risk Factors in Reddit Posts Msvpj Sathvik Surjodeep Sarkar Chandni Saxena Sunghwan Sohn Muskan Garg 46 1 0 21 Nov 2023
Faithful and Robust Local Interpretability for Textual Predictions Gianluigi Lopardo F. Precioso Damien Garreau OOD 151 4 0 30 Oct 2023
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions Luca Longo Mario Brcic Federico Cabitza Jaesik Choi Roberto Confalonieri ... Andrés Páez Wojciech Samek Johannes Schneider Timo Speith Simone Stumpf 232 294 0 30 Oct 2023
How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors? Zachariah Carmichael Walter J. Scheirer FAtt 118 4 0 27 Oct 2023
LIPEx-Locally Interpretable Probabilistic Explanations-To Look Beyond The True Class Hongbo Zhu Angelo Cangelosi Procheta Sen Anirbit Mukherjee FAtt 106 0 0 07 Oct 2023
Pixel-Grounded Prototypical Part Networks Zachariah Carmichael Suhas Lohit A. Cherian Michael Jeffrey Jones Walter J. Scheirer 129 12 0 25 Sep 2023
Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution T. Idé Naoki Abe 105 6 0 09 Aug 2023
SurvBeX: An explanation method of the machine learning survival models based on the Beran estimator Lev V. Utkin Danila Eremenko A. Konstantinov 88 5 0 07 Aug 2023
Manipulation Risks in Explainable AI: The Implications of the Disagreement Problem S. Goethals David Martens Theodoros Evgeniou 125 6 0 24 Jun 2023
Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables Rick Wilming Leo Kieslich Benedict Clark Stefan Haufe 103 11 0 02 Jun 2023
Are Your Explanations Reliable? Investigating the Stability of LIME in Explaining Text Classifiers by Marrying XAI and Adversarial Attack Christopher Burger Lingwei Chen Thai Le FAtt AAML 112 14 0 21 May 2023
Understanding Post-hoc Explainers: The Case of Anchors Gianluigi Lopardo F. Precioso Damien Garreau FAtt 85 2 0 15 Mar 2023
Explaining text classifiers through progressive neighborhood approximation with realistic samples Yi Cai Arthur Zimek Eirini Ntoutsi Gerhard Wunder AI4TS 112 0 0 11 Feb 2023
Half of an image is enough for quality assessment Junyong You Yuan Lin J. Korhonen 108 2 0 30 Jan 2023
Relational Local Explanations V. Borisov Gjergji Kasneci FAtt 125 0 0 23 Dec 2022
A Survey of Computer Vision Technologies In Urban and Controlled-environment Agriculture Jiayun Luo Boyang Albert Li Cyril Leung 213 17 0 20 Oct 2022
From Shapley Values to Generalized Additive Models and back Sebastian Bordt U. V. Luxburg FAtt TDI 232 49 0 08 Sep 2022
A Survey of Neural Trees Haoling Li Mingli Song Mengqi Xue Haofei Zhang Jingwen Ye Lechao Cheng Mingli Song AI4CE 142 6 0 07 Sep 2022
A Means-End Account of Explainable Artificial Intelligence O. Buchholz XAI 105 14 0 09 Aug 2022
s-LIME: Reconciling Locality and Fidelity in Linear Explanations Romaric Gaudel Luis Galárraga J. Delaunay L. Rozé Vaishnavi Bhargava FAtt 108 16 0 02 Aug 2022
Leveraging Explanations in Interactive Machine Learning: An Overview Stefano Teso Öznur Alkan Wolfgang Stammer Elizabeth M. Daly XAI FAtt LRM 212 69 0 29 Jul 2022
Unfooling Perturbation-Based Post Hoc Explainers Zachariah Carmichael Walter J. Scheirer AAML 141 16 0 29 May 2022
A Sea of Words: An In-Depth Analysis of Anchors for Text Data Gianluigi Lopardo F. Precioso Damien Garreau 103 7 0 27 May 2022