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Denoising Diffusion Probabilistic Models Are Optimally Adaptive to Unknown Low Dimensionality.

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Title: Denoising Diffusion Probabilistic Models Are Optimally Adaptive to Unknown Low Dimensionality.
Authors: Huang, Zhihan1 (AUTHOR) zhihanh@wharton.upenn.edu, Wei, Yuting1 (AUTHOR) ytwei@wharton.upenn.edu, Chen, Yuxin1 (AUTHOR) yuxinc@wharton.upenn.edu
Source: Mathematics of Operations Research (INFORMS). Mar2026, p1. 22p.
Database: Business Source Ultimate
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An: 192236875
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  Data: Denoising Diffusion Probabilistic Models Are Optimally Adaptive to Unknown Low Dimensionality.
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      – Type: doi
        Value: 10.1287/moor.2024.0769
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      – Code: eng
        Text: English
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        PageCount: 22
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      – TitleFull: Denoising Diffusion Probabilistic Models Are Optimally Adaptive to Unknown Low Dimensionality.
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            NameFull: Huang, Zhihan
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            NameFull: Wei, Yuting
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            NameFull: Chen, Yuxin
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            – D: 13
              M: 03
              Text: Mar2026
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              Y: 2026
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