explanations

Concept-Centric Token Interpretation for Vector-Quantized Generative Models ICML 2025 On Explaining Equivariant Graph Networks via Improved Relevance Propagation ICML 2025 Optimal Information Retention for Time-Series Explanations ICML 2025 Position: Rethinking Explainable Machine Learning as Applied Statistics ICML 2025 Prediction via Shapley Value Regression ICML 2025 Redundancy Undermines the Trustworthiness of Self-Interpretable GNNs ICML 2025 SPEX: Scaling Feature Interaction Explanations for LLMs ICML 2025 Attention Meets Post-hoc Interpretability: A Mathematical Perspective ICML 2024 EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time ICML 2024 Graph Neural Network Explanations are Fragile ICML 2024 LLaGA: Large Language and Graph Assistant ICML 2024 Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks ICML 2024 Trust Regions for Explanations via Black-Box Probabilistic Certification ICML 2024