arXiv Machine Learning
TimeES: Probabilistic and Deterministic Time Series Forecasting via Evolutionary Spectra
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AdaMamba: Adaptive Frequency-Gated Mamba for Long-Term Time Series Forecasting
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Seeking SOTA: Time-Series Forecasting Must Adopt Taxonomy-Specific Evaluation to Dispel Illusory Gains
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arXiv Machine Learning
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RouteTS: Frequency-Time Routing for Time Series Forecasting
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FLAME: Flow Enhanced Legendre Memory Models for General Time Series Forecasting
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arXiv Machine Learning
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Adaptive Oscillatory-State Alignment for Time Series Forecasting
arXiv:2606. 06010v1 Announce Type: new Abstract: Long-term time series forecasting benefits from inductive biases that expose recurring temporal structure.
arXiv Machine Learning
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EVOLVE: Uncertainty-Aware Multivariate Time Series Anomaly Prediction with Adaptive Prototype Memories
arXiv:2610.32189v1 Announce Type: new Abstract: Unsupervised multivariate time series anomaly prediction (AP) aims to estimate future anomaly risks from current observations, providing early-warning...