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Diffusion Model for Data-Driven Black-Box Optimization
March 21, 2024, 4:41 a.m. | Zihao Li, Hui Yuan, Kaixuan Huang, Chengzhuo Ni, Yinyu Ye, Minshuo Chen, Mengdi Wang
cs.LG updates on arXiv.org arxiv.org
Abstract: Generative AI has redefined artificial intelligence, enabling the creation of innovative content and customized solutions that drive business practices into a new era of efficiency and creativity. In this paper, we focus on diffusion models, a powerful generative AI technology, and investigate their potential for black-box optimization over complex structured variables. Consider the practical scenario where one wants to optimize some structured design in a high-dimensional space, based on massive unlabeled data (representing design variables) …
abstract ai technology artificial artificial intelligence arxiv box business creativity cs.lg data data-driven diffusion diffusion model diffusion models drive efficiency enabling focus generative generative ai technology intelligence math.oc optimization paper practices solutions technology type
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