Unifying Attribution-Based Explanations Using Functional Decomposition | Paper Citation Record

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This paper cites Towards better understanding of gradient-based attribution methods for deep neural networks.

Unifying Attribution-Based Explanations Using Functional Decomposition Towards better understanding of gradient-based attribution methods for deep neural networks

Reference 1

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Unifying Attribution-Based Explanations Using Functional Decomposition Unresolved cited work

Reference 2

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This paper cites Explainable artificial intelligence (xai): Concepts, taxonomies, opportunities and challenges toward responsible ai.

Unifying Attribution-Based Explanations Using Functional Decomposition Explainable artificial intelligence (xai): Concepts, taxonomies, opportunities and challenges toward responsible ai

Reference 3

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This paper cites From shapley values to generalized additive models and back.

Unifying Attribution-Based Explanations Using Functional Decomposition From shapley values to generalized additive models and back

Reference 4

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This paper cites Random forests.

Unifying Attribution-Based Explanations Using Functional Decomposition Random forests

Reference 5

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This paper cites Visualizing the Feature Importance for Black Box Models.

Unifying Attribution-Based Explanations Using Functional Decomposition Visualizing the Feature Importance for Black Box Models

Reference 6

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This paper cites True to the Model or True to the Data?.

Unifying Attribution-Based Explanations Using Functional Decomposition True to the Model or True to the Data?

Reference 7

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This paper cites Understanding Global Feature Contributions With Additive Importance Measures.

Unifying Attribution-Based Explanations Using Functional Decomposition Understanding Global Feature Contributions With Additive Importance Measures

Reference 8

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This paper cites Explaining by removing: A unified framework for model explanation.

Unifying Attribution-Based Explanations Using Functional Decomposition Explaining by removing: A unified framework for model explanation

Reference 9

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Unifying Attribution-Based Explanations Using Functional Decomposition Unresolved cited work

Reference 10

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This paper cites Algorithmic transparency via quantitative input influence: Theory and experiments with learning systems.

Unifying Attribution-Based Explanations Using Functional Decomposition Algorithmic transparency via quantitative input influence: Theory and experiments with learning systems

Reference 11

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Unifying Attribution-Based Explanations Using Functional Decomposition Unresolved cited work

Reference 12

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This paper cites Value theory without efficiency.

Unifying Attribution-Based Explanations Using Functional Decomposition Value theory without efficiency

Reference 13

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This paper cites Asymmetric shapley values: incorporating causal knowledge into model-agnostic explainability.

Unifying Attribution-Based Explanations Using Functional Decomposition Asymmetric shapley values: incorporating causal knowledge into model-agnostic explainability

Reference 14

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This paper cites Axiomatic characterizations of probabilistic and cardinal-probabilistic interaction indices.

Unifying Attribution-Based Explanations Using Functional Decomposition Axiomatic characterizations of probabilistic and cardinal-probabilistic interaction indices

Reference 15

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This paper cites Pdd-shap: Fast approximations for shapley values using functional decomposition.

Unifying Attribution-Based Explanations Using Functional Decomposition Pdd-shap: Fast approximations for shapley values using functional decomposition

Reference 16

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This paper cites Efficient approximation of asymmetric shapley values using functional decomposition.

Unifying Attribution-Based Explanations Using Functional Decomposition Efficient approximation of asymmetric shapley values using functional decomposition

Reference 17

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This paper cites Evaluating feature attribution methods in the image domain.

Unifying Attribution-Based Explanations Using Functional Decomposition Evaluating feature attribution methods in the image domain

Reference 18

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This paper cites An axiomatic approach to the concept of interaction among players in cooperative games.

Unifying Attribution-Based Explanations Using Functional Decomposition An axiomatic approach to the concept of interaction among players in cooperative games

Reference 19

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This paper cites Equivalent representations of set functions.

Unifying Attribution-Based Explanations Using Functional Decomposition Equivalent representations of set functions

Reference 20

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This paper cites Graham, Martin Gr\" o tschel, and L\' a szl\' o Lov\' a sz.

Unifying Attribution-Based Explanations Using Functional Decomposition Graham, Martin Gr\" o tschel, and L\' a szl\' o Lov\' a sz

Reference 21

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This paper cites An introduction to variable and feature selection.

Unifying Attribution-Based Explanations Using Functional Decomposition An introduction to variable and feature selection

Reference 22

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This paper cites Harsanyi.

Unifying Attribution-Based Explanations Using Functional Decomposition Harsanyi

Reference 23

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This paper cites o m, Philine Lou Bommer, Kristoffer Knutsen Wickstr m, Wojciech Samek, Sebastian Lapuschkin, and Marina MC H \.

Unifying Attribution-Based Explanations Using Functional Decomposition o m, Philine Lou Bommer, Kristoffer Knutsen Wickstr m, Wojciech Samek, Sebastian Lapuschkin, and Marina MC H \

Reference 24

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This paper cites o m, Leander Weber, Daniel Krakowczyk, Dilyara Bareeva, Franz Motzkus, Wojciech Samek, Sebastian Lapuschkin, and Marina M.-C. H\.

Unifying Attribution-Based Explanations Using Functional Decomposition o m, Leander Weber, Daniel Krakowczyk, Dilyara Bareeva, Franz Motzkus, Wojciech Samek, Sebastian Lapuschkin, and Marina M.-C. H\

Reference 25

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This paper cites Statistical Aspects of SHAP: Functional ANOVA for Model Interpretation.

Unifying Attribution-Based Explanations Using Functional Decomposition Statistical Aspects of SHAP: Functional ANOVA for Model Interpretation

Reference 26

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This paper cites Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models.

Unifying Attribution-Based Explanations Using Functional Decomposition Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models

Reference 27

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This paper cites Meyer, and Marvin N.

Unifying Attribution-Based Explanations Using Functional Decomposition Meyer, and Marvin N

Reference 28

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This paper cites A class of statistics with asymptotically normal distribution.

Unifying Attribution-Based Explanations Using Functional Decomposition A class of statistics with asymptotically normal distribution

Reference 29

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This paper cites o ning, G \.

Unifying Attribution-Based Explanations Using Functional Decomposition o ning, G \

Reference 30

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This paper cites Diagnostics and extrapolation in machine learning.

Unifying Attribution-Based Explanations Using Functional Decomposition Diagnostics and extrapolation in machine learning

Reference 31

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This paper cites Generalized functional anova diagnostics for high-dimensional functions of dependent variables.

Unifying Attribution-Based Explanations Using Functional Decomposition Generalized functional anova diagnostics for high-dimensional functions of dependent variables

Reference 32

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This paper cites Janizek, Pascal Sturmfels, and Su-In Lee.

Unifying Attribution-Based Explanations Using Functional Decomposition Janizek, Pascal Sturmfels, and Su-In Lee

Reference 33

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This paper cites Improved feature importance computation for tree models based on the banzhaf value.

Unifying Attribution-Based Explanations Using Functional Decomposition Improved feature importance computation for tree models based on the banzhaf value

Reference 34

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Unifying Attribution-Based Explanations Using Functional Decomposition Unresolved cited work

Reference 35

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This paper cites Problems with Shapley-value-based explanations as feature importance measures.

Unifying Attribution-Based Explanations Using Functional Decomposition Problems with Shapley-value-based explanations as feature importance measures

Reference 36

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Unifying Attribution-Based Explanations Using Functional Decomposition Unresolved cited work

Reference 37

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This paper cites Weightedshap: analyzing and improving shapley based feature attributions.

Unifying Attribution-Based Explanations Using Functional Decomposition Weightedshap: analyzing and improving shapley based feature attributions

Reference 38

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This paper cites Analysis of regression in game theory approach.

Unifying Attribution-Based Explanations Using Functional Decomposition Analysis of regression in game theory approach

Reference 39

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Unifying Attribution-Based Explanations Using Functional Decomposition A Unified Approach to Interpreting Model Predictions

Reference 40

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This paper cites Explainable AI for Trees: From Local Explanations to Global Understanding.

Unifying Attribution-Based Explanations Using Functional Decomposition Explainable AI for Trees: From Local Explanations to Global Understanding

Reference 41

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This paper cites Consistent Individualized Feature Attribution for Tree Ensembles.

Unifying Attribution-Based Explanations Using Functional Decomposition Consistent Individualized Feature Attribution for Tree Ensembles

Reference 42

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Unifying Attribution-Based Explanations Using Functional Decomposition Axiomatic characterizations of generalized values

Reference 43

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This paper cites The Explanation Game: Explaining Machine Learning Models Using Shapley Values.

Unifying Attribution-Based Explanations Using Functional Decomposition The Explanation Game: Explaining Machine Learning Models Using Shapley Values

Reference 44

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This paper cites Interpretable Machine Learning.

Unifying Attribution-Based Explanations Using Functional Decomposition Interpretable Machine Learning

Reference 45

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Unifying Attribution-Based Explanations Using Functional Decomposition Unresolved cited work

Reference 46

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Unifying Attribution-Based Explanations Using Functional Decomposition Unresolved cited work

Reference 47

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Unifying Attribution-Based Explanations Using Functional Decomposition Unresolved cited work

Reference 48

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Unifying Attribution-Based Explanations Using Functional Decomposition Unresolved cited work

Reference 49

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This paper cites High dimensional model explanations: An axiomatic approach.

Unifying Attribution-Based Explanations Using Functional Decomposition High dimensional model explanations: An axiomatic approach

Reference 50

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Unifying Attribution-Based Explanations Using Functional Decomposition The do-calculus revisited

Reference 51

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Unifying Attribution-Based Explanations Using Functional Decomposition Unresolved cited work

Reference 52

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This paper cites why should i trust you?.

Unifying Attribution-Based Explanations Using Functional Decomposition why should i trust you?

Reference 53

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This paper cites Visualization And Exploration Of High-Dimensional Functions Using The Functional ANOVA Decomposition.

Unifying Attribution-Based Explanations Using Functional Decomposition Visualization And Exploration Of High-Dimensional Functions Using The Functional ANOVA Decomposition

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:56.523766Z

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Observation b2f48407-a48e-4fd2-be6c-46a67b1ab868 · outbound

This paper cites obius functions. Zeitschrift f\.

Unifying Attribution-Based Explanations Using Functional Decomposition obius functions. Zeitschrift f\

Reference 55

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This paper cites Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead.

Unifying Attribution-Based Explanations Using Functional Decomposition Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

Reference 56

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Observation 32f51251-1b5f-4a4a-90d6-7754b1362b38 · outbound

This paper cites Sculley, Gary Holt, Daniel Golovin, Eugene Davydov, Todd Phillips, Dietmar Ebner, Vinay Chaudhary, Michael Young, Jean-Fran c ois Crespo, and Dan Dennison.

Unifying Attribution-Based Explanations Using Functional Decomposition Sculley, Gary Holt, Daniel Golovin, Eugene Davydov, Todd Phillips, Dietmar Ebner, Vinay Chaudhary, Michael Young, Jean-Fran c ois Crespo, and Dan Dennison

Reference 57

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This paper cites A value for n-person games.

Unifying Attribution-Based Explanations Using Functional Decomposition A value for n-person games

Reference 58

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This paper cites Shapley and Alvin E.

Unifying Attribution-Based Explanations Using Functional Decomposition Shapley and Alvin E

Reference 59

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This paper cites Global sensitivity indices for nonlinear mathematical models and their monte carlo estimates.

Unifying Attribution-Based Explanations Using Functional Decomposition Global sensitivity indices for nonlinear mathematical models and their monte carlo estimates

Reference 60

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This paper cites Nelson, and Jeremy Staum.

Unifying Attribution-Based Explanations Using Functional Decomposition Nelson, and Jeremy Staum

Reference 61

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This paper cites Conditional variable importance for random forests.

Unifying Attribution-Based Explanations Using Functional Decomposition Conditional variable importance for random forests

Reference 62

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This paper cites The many shapley values for model explanation.

Unifying Attribution-Based Explanations Using Functional Decomposition The many shapley values for model explanation

Reference 63

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This paper cites The shapley taylor interaction index.

Unifying Attribution-Based Explanations Using Functional Decomposition The shapley taylor interaction index

Reference 64

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This paper cites Sanity checks for saliency metrics.

Unifying Attribution-Based Explanations Using Functional Decomposition Sanity checks for saliency metrics

Reference 65

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This paper cites McCradden, and Anna Goldenberg.

Unifying Attribution-Based Explanations Using Functional Decomposition McCradden, and Anna Goldenberg

Reference 66

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This paper cites Faith-shap: The faithful shapley interaction index.

Unifying Attribution-Based Explanations Using Functional Decomposition Faith-shap: The faithful shapley interaction index

Reference 67

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This paper cites S trumbelj, I.

Unifying Attribution-Based Explanations Using Functional Decomposition S trumbelj, I

Reference 68

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This paper cites Explaining prediction models and individual predictions with feature contributions.

Unifying Attribution-Based Explanations Using Functional Decomposition Explaining prediction models and individual predictions with feature contributions

Reference 69

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This paper cites An efficient explanation of individual classifications using game theory.

Unifying Attribution-Based Explanations Using Functional Decomposition An efficient explanation of individual classifications using game theory

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:56.329366Z

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This paper cites Probabilistic values for games.

Unifying Attribution-Based Explanations Using Functional Decomposition Probabilistic values for games

Reference 71

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This paper cites Efficient nonparametric statistical inference on population feature importance using shapley values.

Unifying Attribution-Based Explanations Using Functional Decomposition Efficient nonparametric statistical inference on population feature importance using shapley values

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:56.284935Z

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This paper cites On the (In)fidelity and Sensitivity for Explanations.

Unifying Attribution-Based Explanations Using Functional Decomposition On the (In)fidelity and Sensitivity for Explanations

Reference 73

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This paper cites Threading the Needle of On and Off-Manifold Value Functions for Shapley Explanations.

Unifying Attribution-Based Explanations Using Functional Decomposition Threading the Needle of On and Off-Manifold Value Functions for Shapley Explanations

Reference 74

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This paper cites Zeiler and Rob Fergus.

Unifying Attribution-Based Explanations Using Functional Decomposition Zeiler and Rob Fergus

Reference 75

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