2025
Contimask: Explaining Irregular Time Series via Perturbations in Continuous Time
NeurIPS 2025poster
Explaining black-box models for time series data is critical for the wide-scale adoption of deep learning techniques across domains such as healthcare. Recently, explainability methods for deep time series models have seen significant progress by adopting saliency methods that perturb masked segment…