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Yinbin Han

2 accepted papers

2025

Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity, and Convergence

ICML 2025poster

Diffusion models have emerged as powerful tools for generative modeling, demonstrating exceptional capability in capturing target data distributions from large datasets. However, fine-tuning these massive models for specific downstream tasks, constraints, and human preferences remains a critical cha…

Cited by 1SourcePDFScholar
2024

Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization

ICLR 2024poster

Diffusion models have emerged as a powerful tool rivaling GANs in generating high-quality samples with improved fidelity, flexibility, and robustness. A key component of these models is to learn the score function through score matching. Despite empirical success on various tasks, it remains unclea…

Cited by 23SourcePDFScholar