CATF framework improves context-aware time-series forecasting
Manager-Worker architecture with hard routing outperforms standalone models and Time-MoE on five context-rich datasets.
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Stories tagged #time-series-forecasting
Koopman Generative Operators advance probabilistic time-series forecasting
The Koopman Generative Operator achieves state-of-the-art accuracy on 13/17 ProbTS benchmarks with at least 25 times faster inference than iterative generative models.
Google's new AI model predicts the future from sales data, weather, and discount schedules
Google Research released TimesFM-3, a 330M-parameter multivariate time series forecasting model that tops Gift-Eval, FEV-Bench, and Time benchmarks and is on Hugging Face.
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