N. Chandramoorthy

Diffusion models recover accurate mixture weights despite score function insensitivity

This work relates the diffusion score matching (DSM) loss to the error in estimating mixture weights from generated samples, and shows the emergence of sensitivity during the noising process of benchmark data distributions under typical noise schedules, and predicts how well a well-trained model recovers mixture weight...