A multi-channel masked discrete diffusion model generates semantic mobility skeletons faster than two-stage diffusion baselines while strongly matching temporal length and interval distributions.
InAdvances in Neural Information Processing Systems, Vol
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MobiDiff: Semantic-Aware Multi-Channel Discrete Diffusion for Human Mobility Data Generation
A multi-channel masked discrete diffusion model generates semantic mobility skeletons faster than two-stage diffusion baselines while strongly matching temporal length and interval distributions.