Explainability of Complex AI Models with Correlation Impact Ratio
cs.LG, cs.AI, stat.AP
Submitted: 2026-01-10
Updated: 2026-10-01
Code: https://github.com/IamRabin/ExCIR
Terminology
Sources
- Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey
- Towards Robust and Accurate Stability Estimation of Local Surrogate Models in Text-based Explainable AI
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks