Kurtosis-Guided Denoising Score Matching for Tabular Anomaly Detection

Victor Livernoche, Jie Zan, Reihaneh Rabbany

Denoising score matching (DSM) provides a way to learn data distributions by training a neural network to recover the score function, defined as the gradient of the log density, fr…