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Shaoqian Zhou1, Wen You1, Ling Guo2
1Institute of Interdisciplinary Research for Mathematics and Applied Science, School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan, 430074, China.
本研究介绍了一个可扩展的基于物理学的深度生成模型 (sPI-GeM),用于解决高维空间中的复杂随机微分方程 (SDE) 问题. 这种新型模型准确地处理了随机和空间维度,克服了现有的深度学习方法的局限性.
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