Score-based Diffusion Models via Stochastic Differential Equations -- a Technical Tutorial
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arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866918081886945280 |
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| author | Tang, Wenpin Zhao, Hanyang |
| author_facet | Tang, Wenpin Zhao, Hanyang |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_07487 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Score-based Diffusion Models via Stochastic Differential Equations -- a Technical Tutorial Tang, Wenpin Zhao, Hanyang Machine Learning History and Overview 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. |
| title | Score-based Diffusion Models via Stochastic Differential Equations -- a Technical Tutorial |
| topic | Machine Learning History and Overview |
| url | https://arxiv.org/abs/2402.07487 |