Shapley Value Attribution

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3 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions
Jun 1, 2026Farzaneh Heidari, Guillaume RabusseauTensor Networks Surrogate Modeling
Universit´e de Montr´eal, Montr´eal, Quebec, Canada · Mila, Quebec AI Institute, Montreal, Quebec, Canada · CIFAR AI Chair.
Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers
May 30, 2026Xubin Fang, Rick S. BlumAnomaly Localization Shapley Value Attribution
Electrical and Computer Engineering Department of Lehigh University
Fairness-Aware Federated Learning with Trajectory Shapley Value
May 28, 2026Daniel Kuznetsov, Ziqi WangFederated Learning Aggregation Algorithmic Fairness
Faculty of Mathematics, Ecole Normale Supérieure Paris-Saclay, 4 Av. des Sciences, 91190 Gif-sur-Yvette, France. · Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship, Department of Mathematics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Cauerstrasse 11, 91058 Erlangen, Germany.
Localizing Input Uncertainty Quantification for Large Language Models via Shapley Values
May 27, 2026Seongjun Lee, Suwan Yoon, Changhee LeeUncertainty Quantification Shapley Value Attribution
Department of Artificial Intelligence, Korea University
Verified SHAP: Provable Bounds for Exact Shapley Values of Neural Networks
May 22, 2026David Boetius, Shahaf Bassan, Guy Katz +2SHAP Feature Attribution Shapley Value Attribution
University of Konstanz, Konstanz, Germany · Hebrew University of Jerusalem, Jerusalem, Israel · University of St.Gallen, St.Gallen, Switzerland.
CHRONOS: Temporally-Aware Multi-Agent Coordination for Evolving Data Marketplaces
May 22, 2026Joydeep ChandraMulti-Agent Coordination Temporal IR
BNRIST, Tsinghua University Beijing, China
Proxy-Based Approximation of Shapley and Banzhaf Interactions
May 21, 2026Santo M. A. R. Thies, Hubert Baniecki, R. Teal Witter +3Feature Attribution Feature Interaction Modeling
LMU Munich · MCML · DFKI +4
Measuring Cross-Modal Synergy: A Benchmark for VLM Explainability
May 21, 2026Joël Roman Ky, Salah Ghamizi, Maxime CordyVLM Interpretability Shapley Value Attribution
University of Luxembourg, Luxembourg · Luxembourg Institute of Health (LIH), Luxembourg
Dynamic Shapley Computation
May 20, 2026Xuan Yang, Hsi-Wen Chen, Ming-Syan Chen +1Shapley Value Attribution Data Valuation
1Duke University · 2National Taiwan University
Shapley Neuron Values for Continual Learning: Which Neurons Matter Most?
May 15, 2026Mohammad Ali Vahedifar, Abhisek Ray, Qi ZhangClass-Incremental Learning Continual Learning
DIGIT and Department of Electrical and Computer Engineering, Aarhus University, Denmark
RoSHAP: A Distributional Framework and Robust Metric for Stable Feature Attribution
May 14, 2026Lanxin Xiang, Liang Shi, Youhui Ye +3Feature Attribution Shapley Value Attribution
Department of Statistics Virginia Tech · Department of Statistics Virginia Tech Transportation Institute · Department of Computer Science Virginia Tech
Generalized Priority-Aware Shapley Value
May 14, 2026Kiljae Lee, Ziqi Liu, Weijing Tang +1Pairwise Comparison Game Theory
The Ohio State University · Carnegie Mellon University
Semantic Cooperative Games for Contribution Attribution in LLM-Based Multi-Agent Systems
May 14, 2026Pengyi Jiang, Xiaoguang Zhu, Quanyan ZhuMulti-Agent LLM Systems Cooperative Game Theory
New York University · University of California, Davis
Attributing Emergence in Million-Agent Systems
May 12, 2026Ling Tang, Jilin Mei, Qian Chen +6Multi-Agent LLM Systems Computational Social Science
Shanghai Artificial Intelligence Laboratory · Fudan University · Tongji University +1
Constraint-Data-Value-Maximization: Utilizing Data Attribution for Effective Data Pruning in Low-Data Environments
May 11, 2026Danilo Brajovic, David A. Kreplin, Marco F. HuberDataset Pruning Training Data Selection
Fraunhofer IPA, Stuttgart, Germany · Institute of Industrial Manufacturing and Engineering IFF, University of Stuttgart, Germany · Hochschule Heilbronn, Germany
Is Data Shapley Not Better than Random in Data Selection? Ask NASH
May 11, 2026Xiao Tian, Jue Fan, Rachael Hwee Ling Sim +3Data Selection Training Data Selection
Department of Computer Science, National University of Singapore, Singapore · Agency for Science, Technology and Research (A*STAR), Singapore
ConfoundingSHAP: Quantifying confounding strength in causal inference
May 11, 2026Marie Brockschmidt, Santo M. A. R. Thies, Maresa Schröder +5Shapley Value Attribution Causal Inference
LMU Munich · Munich Center for Machine Learning (MCML) · German Research Center for Artificial Intelligence (DFKI)
Quotient Semivalues for False-Name-Resistant Data Attribution
May 8, 2026Florian A. D. Burnat, Brittany I. DavidsonCybersecurity Shapley Value Attribution
School of Management, University of Bath, UK.
The Metagame of Interpretability and Meta-Attributions
May 7, 2026Hubert Baniecki, Przemyslaw Biecek, Fabian FumagalliTransformer Interpretability Feature Interaction Modeling
University of Warsaw · Centre for Credible AI, Warsaw University of Technology · Bielefeld University +1
QuadraSHAP: Stable and Scalable Shapley Values for Product Games via Gauss-Legendre Quadrature
May 7, 2026Majid Mohammadi, Grigory Reznikov, Pavel Sinitcyn +2Cooperative Game Theory Feature Attribution
AI Technology for Life, Information and Computing Sciences, Utrecht University, The Netherlands · Biomolecular Mass Spectrometry and Proteomics, Pharmaceutical Sciences, Utrecht University, The Netherlands · Rational Intelligence Lab, CISPA Helmholtz Center for Information Security, Germany +1
GRALIS: A Unified Canonical Framework for Linear Attribution Methods via Riesz Representation
May 6, 2026Raimondo FanaleFeature Attribution Shapley Value Attribution
Universitas Mercatorum, Rome, Italy.
Quadrature-TreeSHAP: Depth-Independent TreeSHAP and Shapley Interactions
May 6, 2026Ron Wettenstein, Rory Mitchell, Peng YuSHAP Feature Attribution Shapley Value Attribution
Reichman University, Herzliya, Israel · Nvidia Corporation · Shopify
First-Order Efficiency for Probabilistic Value Estimation via A Statistical Viewpoint
May 4, 2026Ziqi Liu, Kiljae Lee, Yuan Zhang +1Value Function Estimation Shapley Value Attribution
Department of Statistics & Data Science, Carnegie Mellon University. · Department of Statistics, The Ohio State University.
Temporal-Decay Shapley: A Time-Aware Data Valuation Framework for Time-Series Data
May 4, 2026Chuwen Pang, Bing Mi, Kongyang ChenShapley Value Attribution Data Valuation
School of Artificial Intelligence, Guangzhou University, Guangzhou 510006, China · School of Public Finance and Taxation, Guangdong University of Finance and Economics, Guangzhou 510320, China
Meritocratic Fairness in Budgeted Combinatorial Multi-armed Bandits via Shapley Values
May 1, 2026Shradha Sharma, Swapnil Dhamal, Shweta JainMulti-Armed Bandits Cooperative Game Theory
Indian Institute of Technology Ropar
Explainable Load Forecasting with Covariate-Informed Time Series Foundation Models
Apr 30, 2026Matthias Hertel, Alexandra Nikoltchovska, Sebastian Pütz +3Explainable Time Series Forecasting Time Series Forecasting
Karlsruhe Institute of Technology, Karlsruhe, Germany
Explainable AI for Jet Tagging: A Comparative Study of GNNExplainer, GNNShap, and GradCAM for Jet Tagging in the Lund Jet Plane
Apr 28, 2026Pahal D. Patel, Sanmay GangulyGradient-Based Attribution Jet Tagging
Department of Physics, Indian Institute of Technology, Kanpur Uttar-Pradesh-208016, India
Explaining Temporal Graph Predictions With Shapley Values
Apr 27, 2026Lea-Marie Sussek, Stefan HeindorfTemporal GNNs Shapley Value Attribution
Paderborn University Paderborn, Germany
Rethinking XAI Evaluation: A Human-Centered Audit of Shapley Benchmarks in High-Stakes Settings
Apr 24, 2026Inês Oliveira e Silva, Sérgio Jesus, Iker Perez +4Human-in-the-Loop Evaluation Shapley Value Attribution
University of Porto, Feedzai · Feedzai · University of Porto
Bridging Traditional Explainability Methods and Multimodal Multilingual Models: An XAI-Based Analysis
Apr 21, 2026Paweł Pozorski, Jakub Muszyński, Maria GanzhaMultimodal Large Language Models Neural Network Interpretability
student record book number 327304 · student record book number 327246 · thesis supervisor

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions

Farzaneh Heidari, Guillaume Rabusseau

Universit´e de Montr´eal, Montr´eal, Quebec, Canada · Mila, Quebec AI Institute, Montreal, Quebec, Canada · CIFAR AI Chair.

Tensor Networks Surrogate Modeling Feature Attribution Shapley Value Attribution

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Shapley values are a widely used tool for attributing importance and interactions among input variables in black-box models, but their computation involves a function defined over an exponentially large space of subsets. We propose TN-SHAP-G, a framework that exploits structure in graph-structured inputs to compute Shapley values and higher-order interaction indices efficiently. Given a predictor and a fixed masking scheme, TN-SHAP-G learns a compact, graph-aligned multilinear surrogate that approximates the masked-input behavior, represented as a tensor network whose topology mirrors the input graph. Once trained from a small number of oracle queries, the surrogate enables deterministic recovery of first- and higher-order Shapley indices via the multilinear extension, without additional model queries or Monte Carlo variance. Experiments on molecular benchmarks show that the learned factorization closely matches exact Shapley values on small graphs and scales efficiently to larger graphs where sampling-based methods become infeasible.

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