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University of New South Wales
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AsyTO achieves state-of-the-art forecasting accuracy while keeping model complexity linear, challenging the notion that more parameters always lead to better performance.
A2TTA transforms the challenge of evolving traffic networks into a robust adaptation strategy, significantly enhancing forecasting accuracy in dynamic environments.
TopoBrick achieves superior zero-shot forecasting by intelligently sampling exogenous variables based on building topology, outperforming traditional models without the need for extensive training.
Unlock zero-shot human motion understanding across diverse wearable IMU setups with AnyMo, a geometry-aware framework that bridges the gap between synthetic data and real-world deployment.