| MS-IMAP -- A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning | Jun 4, 2024 | Contrastive LearningFeature Importance | —Unverified | 0 |
| Model Interpretation and Explainability: Towards Creating Transparency in Prediction Models | May 31, 2024 | Feature ImportancePrediction | —Unverified | 0 |
| Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space | May 31, 2024 | counterfactualCounterfactual Explanation | —Unverified | 0 |
| Explainable Data-driven Modeling of Adsorption Energy in Heterogeneous Catalysis | May 30, 2024 | Feature ImportanceSymbolic Regression | CodeCode Available | 0 |
| Unified Explanations in Machine Learning Models: A Perturbation Approach | May 30, 2024 | Explainable artificial intelligenceExplainable Artificial Intelligence (XAI) | CodeCode Available | 0 |
| I Bet You Did Not Mean That: Testing Semantic Importance via Betting | May 29, 2024 | Feature Importanceimage-classification | CodeCode Available | 0 |
| MCDFN: Supply Chain Demand Forecasting via an Explainable Multi-Channel Data Fusion Network Model | May 24, 2024 | BenchmarkingDemand Forecasting | —Unverified | 0 |
| Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers | May 22, 2024 | Additive modelsFeature Importance | CodeCode Available | 0 |
| From SHAP Scores to Feature Importance Scores | May 20, 2024 | Explainable artificial intelligenceExplainable Artificial Intelligence (XAI) | —Unverified | 0 |
| Exploring Commonalities in Explanation Frameworks: A Multi-Domain Survey Analysis | May 20, 2024 | counterfactualFeature Importance | —Unverified | 0 |
