Introduces Learnable Gate (LG) methods that improve group-level sparsity in counterfactual explanations for rehabilitation IMU data while preserving validity and smoothness compared to channel-level baselines.
M-cels: Counter- factual explanation for multivariate time series data guided by learned saliency maps,
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Adaptive Group-Based Counterfactual Explanations for Time-Series Rehabilitation Data
Introduces Learnable Gate (LG) methods that improve group-level sparsity in counterfactual explanations for rehabilitation IMU data while preserving validity and smoothness compared to channel-level baselines.