On the Tractability of SHAP Explanations

18 September 2020

Papers citing "On the Tractability of SHAP Explanations"

50 / 71 papers shown

Title
Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms Tomás Capdevielle Santiago Cifuentes FAtt 45 0 0 06 May 2025
Enhancing ML Model Interpretability: Leveraging Fine-Tuned Large Language Models for Better Understanding of AI Jonas Bokstaller Julia Altheimer Julian Dormehl Alina Buss Jasper Wiltfang Johannes Schneider Maximilian Röglinger 29 0 0 02 May 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 37 0 0 22 Apr 2025
Are We Merely Justifying Results ex Post Facto? Quantifying Explanatory Inversion in Post-Hoc Model Explanations Zhen Tan Song Wang Yifan Li Yu Kong Jundong Li Tianlong Chen Huan Liu FAtt 48 0 0 11 Apr 2025
Investigating the Duality of Interpretability and Explainability in Machine Learning Moncef Garouani Josiane Mothe Ayah Barhrhouj Julien Aligon AAML 47 2 0 27 Mar 2025
EVolutionary Independent DEtermiNistiC Explanation Vincenzo Dentamaro Paolo Giglio D. Impedovo G. Pirlo 44 0 0 20 Jan 2025
When is the Computation of a Feature Attribution Method Tractable? P. Barceló R. Cominetti M. Morgado TDI FAtt 103 0 0 04 Jan 2025
DNAMite: Interpretable Calibrated Survival Analysis with Discretized Additive Models Mike Van Ness Billy Block Madeleine Udell 34 1 0 08 Nov 2024
Transforming In-Vehicle Network Intrusion Detection: VAE-based Knowledge Distillation Meets Explainable AI Muhammet Anil Yagiz Pedram MohajerAnsari Mert D. Pesé Polat Goktas AAML 18 4 0 11 Oct 2024
Prediction by Machine Learning Analysis of Genomic Data Phenotypic Frost Tolerance in Perccottus glenii Lilin Fan Xuqing Chai Zhixiong Tian Yihang Qiao Zhen Wang Yifan Zhang 26 1 0 11 Oct 2024
The Sets of Power Joao Marques-Silva Carlos Mencía Raúl Mencía 26 0 0 10 Oct 2024
SHAP values via sparse Fourier representation Ali Gorji Andisheh Amrollahi A. Krause FAtt 38 0 0 08 Oct 2024
Hard to Explain: On the Computational Hardness of In-Distribution Model Interpretation Guy Amir Shahaf Bassan Guy Katz 44 2 0 07 Aug 2024
Backward Compatibility in Attributive Explanation and Enhanced Model Training Method Ryuta Matsuno 48 0 0 05 Aug 2024
ProtoS-ViT: Visual foundation models for sparse self-explainable classifications Hugues Turbé Mina Bjelogrlic G. Mengaldo Christian Lovis ViT 31 6 0 14 Jun 2024
Local vs. Global Interpretability: A Computational Complexity Perspective Shahaf Bassan Guy Amir Guy Katz 45 6 0 05 Jun 2024
From SHAP Scores to Feature Importance Scores Olivier Letoffe Xuanxiang Huang Nicholas M. Asher Sasha Rubin FAtt 48 6 0 20 May 2024
On the Tractability of SHAP Explanations under Markovian Distributions Reda Marzouk C. D. L. Higuera FAtt 26 3 0 05 May 2024
Interpretable Prediction and Feature Selection for Survival Analysis Mike Van Ness Madeleine Udell 39 2 0 23 Apr 2024
Variational Shapley Network: A Probabilistic Approach to Self-Explaining Shapley values with Uncertainty Quantification Mert Ketenci Inigo Urteaga Victor Alfonso Rodriguez Noémie Elhadad A. Perotte FAtt 32 0 0 06 Feb 2024
The Distributional Uncertainty of the SHAP score in Explainable Machine Learning Santiago Cifuentes L. Bertossi Nina Pardal S. Abriola Maria Vanina Martinez Miguel Romero TDI FAtt 23 0 0 23 Jan 2024
Expected Shapley-Like Scores of Boolean Functions: Complexity and Applications to Probabilistic Databases Pratik Karmakar Mikaël Monet Pierre Senellart St´ephane Bressan TDI 17 7 0 12 Jan 2024
Benchmark Evaluation of Anomaly-Based Intrusion Detection Systems in the Context of Smart Grids Ömer Sen Simon Glomb Martin Henze Andreas Ulbig 31 1 0 21 Dec 2023
SurvBeNIM: The Beran-Based Neural Importance Model for Explaining the Survival Models Lev V. Utkin Danila Eremenko A. Konstantinov 23 0 0 11 Dec 2023
Unveiling The Factors of Aesthetic Preferences with Explainable AI Derya Soydaner Johan Wagemans 32 2 0 24 Nov 2023
Fast Shapley Value Estimation: A Unified Approach Borui Zhang Baotong Tian Wenzhao Zheng Jie Zhou Jiwen Lu TDI FAtt 27 0 0 02 Nov 2023
How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors? Zachariah Carmichael Walter J. Scheirer FAtt 44 4 0 27 Oct 2023
Interpretable Survival Analysis for Heart Failure Risk Prediction Mike Van Ness Tomas M. Bosschieter Natasha Din Andrew P Ambrosy Alexander Sandhu Madeleine Udell 25 4 0 24 Oct 2023
The Thousand Faces of Explainable AI Along the Machine Learning Life Cycle: Industrial Reality and Current State of Research Thomas Decker Ralf Gross Alexander Koebler Michael Lebacher Ronald Schnitzer Stefan H. Weber 36 2 0 11 Oct 2023
Refutation of Shapley Values for XAI -- Additional Evidence Xuanxiang Huang Sasha Rubin AAML 34 4 0 30 Sep 2023
Pixel-Grounded Prototypical Part Networks Zachariah Carmichael Suhas Lohit A. Cherian Michael Jeffrey Jones Walter J. Scheirer 41 11 0 25 Sep 2023
A Refutation of Shapley Values for Explainability Xuanxiang Huang Sasha Rubin FAtt 26 3 0 06 Sep 2023
Attribution-Scores in Data Management and Explainable Machine Learning Leopoldo Bertossi XAI FAtt CML 14 1 0 31 Jul 2023
Explainability is NOT a Game Sasha Rubin Xuanxiang Huang 31 17 0 27 Jun 2023
Explaining Predictive Uncertainty with Information Theoretic Shapley Values David S. Watson Joshua O'Hara Niek Tax Richard Mudd Ido Guy TDI FAtt 34 22 0 09 Jun 2023
Disproving XAI Myths with Formal Methods -- Initial Results Sasha Rubin 45 8 0 13 May 2023
Compositional Probabilistic and Causal Inference using Tractable Circuit Models Benjie Wang Marta Kwiatkowska TPM 28 7 0 17 Apr 2023
Efficient SAGE Estimation via Causal Structure Learning C. Luther Gunnar Konig Moritz Grosse-Wentrup 40 3 0 06 Apr 2023
Derivative-based Shapley value for global sensitivity analysis and machine learning explainability Hui Duan G. Ökten FAtt 29 3 0 24 Mar 2023
Interpretable Ensembles of Hyper-Rectangles as Base Models A. Konstantinov Lev V. Utkin 38 3 0 15 Mar 2023
Efficient Computation of Shap Explanation Scores for Neural Network Classifiers via Knowledge Compilation Leopoldo Bertossi Jorge E. Leon FAtt 16 2 0 11 Mar 2023
Attribution-Scores and Causal Counterfactuals as Explanations in Artificial Intelligence Leopoldo Bertossi XAI CML 36 5 0 06 Mar 2023
The Inadequacy of Shapley Values for Explainability Xuanxiang Huang Sasha Rubin FAtt 37 41 0 16 Feb 2023
Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning R. Heese Thore Gerlach Sascha Mucke Sabine Muller Matthias Jakobs Nico Piatkowski 29 18 0 22 Jan 2023
A Quantum Algorithm for Shapley Value Estimation Iain Burge Michel Barbeau Joaquín García 11 5 0 11 Jan 2023
Logic-Based Explainability in Machine Learning Sasha Rubin LRM XAI 50 39 0 24 Oct 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
Rectifying Mono-Label Boolean Classifiers S. Coste-Marquis Pierre Marquis 40 0 0 17 Jun 2022
Accelerating Shapley Explanation via Contributive Cooperator Selection Guanchu Wang Yu-Neng Chuang Mengnan Du Fan Yang Quan-Gen Zhou Pushkar Tripathi Xuanting Cai Xia Hu FAtt 23 21 0 17 Jun 2022
Combining Counterfactuals With Shapley Values To Explain Image Models Aditya Lahiri Kamran Alipour Ehsan Adeli Babak Salimi FAtt 34 6 0 14 Jun 2022