Swagato Barman Roy

Distribution-Aware Online Learning for Urban Spatiotemporal Forecasting on Streaming Data

The intrinsic non-stationarity of urban spatiotemporal (ST) streams, particularly unique distribution shifts that evolve over time, poses substantial challenges for accurate urban ST forecasting. Existing works often overlook these dynamic shifts, limiting their ability to adapt to evolving trends e