Score-based Diffusion Models via Stochastic Differential Equations -- a Technical Tutorial
<|reference_start|>Score-based Diffusion Models via Stochastic Differential Equations -- a Technical Tutorial: This is an expository article on the score-based diffusion models, with a particular focus on the formulation via stochastic differential equations (SDE). After a gentle introduction, we discuss the two pillars in the diffusion modeling -- sampling and score matching, which encompass the SDE/ODE sampling, score matching efficiency, the consistency models, and reinforcement learning. Short proofs are given to illustrate the main idea of the stated results. The article is primarily a technical introduction to the field, and practitioners may also find some analysis useful in designing new models or algorithms.<|reference_end|>
@article{tang2024score-based,
    title={Score-based Diffusion Models via Stochastic Differential Equations -- a
  Technical Tutorial},
    author={Wenpin Tang and Hanyang Zhao},
    journal={arXiv preprint arXiv:2402.07487},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.07487},
    primaryClass={cs.LG math.HO}
}