NeuroRule: Making Black-Box Neural Networks Explainable through Rule-set Evolution
cs.NE, cs.LG
Submitted: 2026-09-22
Updated: 2026-09-22
Terminology
Sources
- Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
- Loss Landscape Analysis for Reliable Quantized ML Models for Scientific Sensing
- Random Smoothing Regularization in Kernel Gradient Descent Learning
- Distilling a Neural Network Into a Soft Decision Tree
- Distilling the Knowledge in a Neural Network
- A Unified Approach to Interpreting Model Predictions
- "Why Should I Trust You?": Explaining the Predictions of Any Classifier
- EVOTER: Evolution of Transparent Explainable Rule-sets
- Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
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