SCENT, a single-stage transformer-based conditioned neural field, jointly handles reconstruction, interpolation, and forecasting on sparse and noisy scientific data, reporting state-of-the-art results on Navier-Stokes and AirDelhi benchmarks.
Multiscale mobility networks and the spatial spreading of infectious diseases
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SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields
SCENT, a single-stage transformer-based conditioned neural field, jointly handles reconstruction, interpolation, and forecasting on sparse and noisy scientific data, reporting state-of-the-art results on Navier-Stokes and AirDelhi benchmarks.