Ayushi Mehrotra

H-Sets: Hessian-Guided Discovery of Set-Level Feature Interactions in Image Classifiers

Feature attribution methods explain the predictions of deep neural networks by assigning importance scores to individual input features. However, most existing methods focus solely on marginal effects, overlooking feature interactions, where groups of features jointly influence model output. Such in