LakeFM pre-trains on large ecological datasets to forecast irregular lake time series and reports competitive or superior performance with physically plausible outputs.
Hyperimts: Hypergraph neural network for irregular multivariate time series forecasting.arXiv preprint arXiv:2505.17431
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MS-FLOW uses a capacity-limited sparse routing mechanism to model only critical inter-variable dependencies in time series data, achieving state-of-the-art accuracy on 12 benchmarks with fewer but more reliable connections.
AlphaCast is a training-free LLM framework that performs interactive multi-stage reasoning for time series forecasting by integrating feature extraction, knowledge bases, case libraries, and contextual pools.
Under-Cali is an uncertainty-driven dual-expert calibration framework for online adaptation in irregular multivariate time series forecasting that freezes the base model.
citing papers explorer
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LakeFM: Toward a Foundation Model for Aquatic Ecosystems Using Irregular Multivariate Multi-depth Time Series Data
LakeFM pre-trains on large ecological datasets to forecast irregular lake time series and reports competitive or superior performance with physically plausible outputs.
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What If We Let Forecasting Forget? A Sparse Bottleneck for Cross-Variable Dependencies
MS-FLOW uses a capacity-limited sparse routing mechanism to model only critical inter-variable dependencies in time series data, achieving state-of-the-art accuracy on 12 benchmarks with fewer but more reliable connections.
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AlphaCast: A Human Wisdom-LLM Intelligence Co-Reasoning Framework for Interactive Time Series Forecasting
AlphaCast is a training-free LLM framework that performs interactive multi-stage reasoning for time series forecasting by integrating feature extraction, knowledge bases, case libraries, and contextual pools.
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Online Irregular Multivariate Time Series Forecasting via Uncertainty-Driven Dual-Expert Calibration
Under-Cali is an uncertainty-driven dual-expert calibration framework for online adaptation in irregular multivariate time series forecasting that freezes the base model.