March 5, 2024, 2:42 p.m. | Yu Wang, Tongya Zheng, Yuxuan Liang, Shunyu Liu, Mingli Song

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.01801v1 Announce Type: new
Abstract: Human trajectory data produced by daily mobile devices has proven its usefulness in various substantial fields such as urban planning and epidemic prevention. In terms of the individual privacy concern, human trajectory simulation has attracted increasing attention from researchers, targeting at offering numerous realistic mobility data for downstream tasks. Nevertheless, the prevalent issue of data scarcity undoubtedly degrades the reliability of existing deep learning models. In this paper, we are motivated to explore the intriguing …

arxiv city cola cs.ai cs.lg human mobility simulation trajectory transformer type

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