Chenghan Xie

Sobolev Regularized Score Difference Estimation in Diffusion Models

This work proposes a statistically consistent and scalable estimator for score differences based on Sobolev regularization and demonstrates its effectiveness on real-world tasks, including transfer learning for ECG signal generation, where it substantially outperforms non-regularized score difference estimators in downstream classification performance.