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Stop treating concept drift as one thing: DynaME's hybrid approach, separating recurring and emergent drifts, unlocks better online time series forecasting.
Generate more realistic and nuanced human movements from text by explicitly modeling individual body parts, overcoming the limitations of existing holistic approaches.
Dataset distillation for time series can now be done efficiently and scalably by operating in the frequency domain, sidestepping the limitations of prior methods.
