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Research questionHow can multimodal time-series forecasting align sparse text with heterogeneous temporal dynamics?Text can provide useful context for forecasting, but reliable time-series–text pairs may be scarce. Variation among series also makes it difficult to align textual information with the relevant temporal behavior.
Machine Learning
Multimodal Models
Statistical Machine Learning
Latest papersRecent research connected to this question, newest first.Multi-Modal Time Series Prediction via Mixture of Modulated ExpertsThe source studies a mixture-of-experts approach in which textual information conditions expert routing and computation. It provides theoretical analysis and experiments, but does not specify datasets, forecast horizons, or deployment constraints.research paper · Sep 4, 2026
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