Lukas Koberg

Denoising without Diffusion: Fixed-Noise Denoiser Anomaly Detection in Tabular Data

While diffusion models have advanced anomaly detection, their reliance on multi-step noise schedules introduces significant computational complexity. In this paper, we demonstrate that the generative capability of diffusion is not required for tabular one-class anomaly detection. We revisit core pri…