A time-series transformer trained with Shapley-based and contrastive pretraining outputs predictions and Shapley explanations in one forward pass, at a fraction of post-hoc explanation cost.
Augmented time regularized generative adversarial network (atr-gan) for data aug- mentation in online process anomaly detection,
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Unifying Prediction and Explanation in Time-Series Transformers via Shapley-based Pretraining
A time-series transformer trained with Shapley-based and contrastive pretraining outputs predictions and Shapley explanations in one forward pass, at a fraction of post-hoc explanation cost.