GAS-PFN: Graph-Aware Spatiotemporal Prior-Data Fitted Networks for Traffic
GAS-PFN offers a zero-shot alternative for traffic forecasting by learning in-context inference from synthetic spatiotemporal prior-data fitted networks.
GAS-PFN offers a zero-shot alternative for traffic forecasting by learning in-context inference from synthetic spatiotemporal prior-data fitted networks.