{"total":18,"rows":[{"id":"2410.01649","title":"shapiq: Shapley Interactions for Machine Learning","created":"2024-10-02","cited_by_count":43,"area":null},{"id":"2401.15866","title":"Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution","created":"2024-01-29","cited_by_count":21,"area":null},{"id":"2504.13787","title":"Probabilistic Stability Guarantees for Feature Attributions","created":"2025-04-18","cited_by_count":9,"area":null},{"id":"2406.05090","title":"Provably Better Explanations with Optimized Aggregation of Feature Attributions","created":"2024-06-07","cited_by_count":6,"area":null},{"id":"2406.18334","title":"Efficient and Accurate Explanation Estimation with Distribution Compression","created":"2024-06-26","cited_by_count":4,"area":null},{"id":"2506.15499","title":"Pixel-level Certified Explanations via Randomized Smoothing","created":"2025-06-18","cited_by_count":4,"area":null},{"id":"2511.10439","title":"Improving Perturbation-based Explanations by Understanding the Role of Uncertainty Calibration","created":"2025-11-13","cited_by_count":3,"area":null},{"id":"2406.09069","title":"On the Robustness of Global Feature Effect Explanations","created":"2024-06-13","cited_by_count":2,"area":null},{"id":"2508.07636","title":"Attribution Explanations for Deep Neural Networks: A Theoretical Perspective","created":"2025-08-11","cited_by_count":2,"area":null},{"id":"2402.10527","title":"Assessing biomedical knowledge robustness in large language models by query-efficient sampling attacks","created":"2024-02-16","cited_by_count":1,"area":null},{"id":"2404.13522","title":"Error Analysis of Shapley Value-Based Model Explanations: An Informative Perspective","created":"2024-04-21","cited_by_count":1,"area":null},{"id":"2504.02016","title":"Fast Fourier Correlation is a Highly Efficient and Accurate Feature Attribution Algorithm from the Perspective of Control Theory and Game Theory","created":"2025-04-02","cited_by_count":1,"area":null},{"id":"2603.01923","title":"Bound Propagation meets Constraint Simplification: Improving Logic-based XAI for Neural Networks","created":"2026-03-02","cited_by_count":1,"area":null},{"id":"2603.04831","title":"Missingness Bias Calibration in Feature Attribution Explanations","created":"2026-03-05","cited_by_count":1,"area":null},{"id":"2610.03945","title":"DePICT: Decision-Preserving Interface for Constrained Downstream Tasks","created":"2026-10-02","cited_by_count":1,"area":null},{"id":"2411.18343","title":"Comprehensive and Reliable Feature Attribution for Diverse Modalities and Models via Frequency-Domain Insights","created":"2024-11-27","cited_by_count":0,"area":null},{"id":"2506.19630","title":"Why Uncertainty Calibration Matters for Reliable Perturbation-based Explanations","created":"2025-06-24","cited_by_count":0,"area":null},{"id":"2605.29983","title":"Improving Adversarial Robustness of Attribution via Implicit Regularization","created":"2026-05-28","cited_by_count":0,"area":null}],"next_cursor":null}