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2 results for “multivariate time series”
SPIN Processed News Frame: The Hype
CARNet Cycle-Conditioned Core Aggregation and Redistribution for Multivariate Time Series Forecasting
CARNet is a new attention-free deep learning architecture for multivariate time series forecasting that incorporates global periodic structure into linear-complexity core-based modeling, showing consistent empirical improvements over transformer and non-attention baselines on public benchmarks.
Spin 40% Claim Present in Source AI Risk Moderate
arXiv Machine Learning
Jul 27, 2026
SPIN Processed News Frame: The Hype
StateFlow: Dual-State Recurrent Modeling for Long-Horizon Time Series Forecasting
Researchers introduce StateFlow, a dual-state recurrent modeling framework for long-horizon time series forecasting.
Spin 70% Claim Present in Source AI Risk Moderate
arXiv Machine Learning
Published Jul 2, 2026 · Analyzed Jul 5, 2026