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Distributional counterfactual explanations are now possible for black-box tabular models, thanks to a novel sparse search algorithm that sidesteps the need for gradients.
Time series Transformers can actually perform *worse* with standard normalization techniques like Min-Max or Standard scaling, challenging common preprocessing practices.
