Understanding human mobility is critical for a wide range of urban applications, including traffic management, epidemic control, and urban planning. However, due to privacy concerns, the availability of large-scale public trajectory data remains limited, posing challenges for downstream mobility analysis. Existing meth...
Wente Ye, Mu-Yan Weng, Chui-Zheng Meng et al.· Proceedings of the 32nd ACM...· 0 citations
In the kernel regime, neural-network learning inherits its preferences from a frozen spectrum. During feature learning, this spectrum evolves, yet networks retain systematic biases toward simple, smooth directions. We develop a function-space statistical framework explaining the origin of these preferences, treating fu...
Yizhou Zhang, Wei-Chen Wu, Lun Du et al.· 0 citations
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