Shapley Flow: A Graph-based Approach to Interpreting Model Predictions

27 October 2020

Papers citing "Shapley Flow: A Graph-based Approach to Interpreting Model Predictions"

20 / 20 papers shown

Title
A New Approach to Backtracking Counterfactual Explanations: A Causal Framework for Efficient Model Interpretability Pouria Fatemi Ehsan Sharifian Mohammad Hossein Yassaee 43 0 0 05 May 2025
From Abstract to Actionable: Pairwise Shapley Values for Explainable AI Jiaxin Xu Hung Chau Angela Burden TDI 50 0 0 18 Feb 2025
Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making Stelios Triantafyllou A. Sukovic Yasaman Zolfimoselo Goran Radanović CML 35 0 0 16 Oct 2024
Improving the Weighting Strategy in KernelSHAP Lars Henry Berge Olsen Martin Jullum TDI FAtt 71 2 0 07 Oct 2024
Theoretical Evaluation of Asymmetric Shapley Values for Root-Cause Analysis Domokos M. Kelen M. Petreczky Péter Kersch András A. Benczúr FAtt 37 3 0 15 Oct 2023
Beyond Single-Feature Importance with ICECREAM M.-J. Oesterle Patrick Blobaum Atalanti A. Mastakouri Elke Kirschbaum CML 35 1 0 19 Jul 2023
Shapley Chains: Extending Shapley Values to Classifier Chains CE Ayad Thomas Bonnier Benjamin Bosch Jesse Read FAtt TDI 13 2 0 30 Mar 2023
Approximation of group explainers with coalition structure using Monte Carlo sampling on the product space of coalitions and features Konstandinos Kotsiopoulos A. Miroshnikov Khashayar Filom Arjun Ravi Kannan FAtt 23 3 0 17 Mar 2023
Statistical Aspects of SHAP: Functional ANOVA for Model Interpretation Andrew Herren P. R. Hahn FAtt 27 9 0 21 Aug 2022
Perception Visualization: Seeing Through the Eyes of a DNN Loris Giulivi Mark J. Carman Giacomo Boracchi 18 6 0 21 Apr 2022
The Shapley Value in Machine Learning Benedek Rozemberczki Lauren Watson Péter Bayer Hao-Tsung Yang Oliver Kiss Sebastian Nilsson Rik Sarkar TDI FAtt 16 204 0 11 Feb 2022
Towards a Shapley Value Graph Framework for Medical peer-influence J. Duell M. Seisenberger Gert Aarts Shang-Ming Zhou Xiuyi Fan 14 0 0 29 Dec 2021
AcME -- Accelerated Model-agnostic Explanations: Fast Whitening of the Machine-Learning Black Box David Dandolo Chiara Masiero Mattia Carletti Davide Dalle Pezze Gian Antonio Susto FAtt LRM 24 22 0 23 Dec 2021
Exact Shapley Values for Local and Model-True Explanations of Decision Tree Ensembles Thomas W. Campbell H. Roder R. Georgantas J. Roder FedML TDI FAtt 19 16 0 16 Dec 2021
Counterfactual Shapley Additive Explanations Emanuele Albini Jason Long Danial Dervovic Daniele Magazzeni 26 49 0 27 Oct 2021
Model Explanations via the Axiomatic Causal Lens Gagan Biradar Vignesh Viswanathan Yair Zick XAI CML 25 1 0 08 Sep 2021
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning Jiahui Li Kun Kuang Baoxiang Wang Furui Liu Long Chen Fei Wu Jun Xiao OffRL 17 60 0 01 Jun 2021
SHAFF: Fast and consistent SHApley eFfect estimates via random Forests Clément Bénard Gérard Biau Sébastien Da Veiga Erwan Scornet FAtt 27 32 0 25 May 2021
Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications Yu-Liang Chou Catarina Moreira P. Bruza Chun Ouyang Joaquim A. Jorge CML 44 176 0 07 Mar 2021
Explaining by Removing: A Unified Framework for Model Explanation Ian Covert Scott M. Lundberg Su-In Lee FAtt 33 241 0 21 Nov 2020