Enhancing Multivariate Time Series Forecasting with Global Temporal Retrieval | ScienceToStartup | ScienceToStartup

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References (50)

[1]

SparseTSF: Lightweight and Robust Time Series Forecasting via Sparse Modeling

2025Shengsheng Lin, Ieee Weiwei Lin Senior Member et al.

[2]

Variational Hierarchical N-BEATS Model for Long-Term Time-Series Forecasting

2025Runze Yang, Longbing Cao et al.

[3]

CrossLinear: Plug-and-Play Cross-Correlation Embedding for Time Series Forecasting with Exogenous Variables

Founder's Pitch

"The Global Temporal Retriever (GTR) enhances any forecasting model's accuracy by capturing long-term periodic patterns with minimal computational costs."

Time Series Forecasting•Score: 7•View PDF ↗

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Enhancing Multivariate Time Series Forecasting with Global Temporal Retrieval

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References (50)

Founder's Pitch

"The Global Temporal Retriever (GTR) enhances any forecasting model's accuracy by capturing long-term periodic patterns with minimal computational costs."

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Enhancing Multivariate Time Series Forecasting with Global Temporal Retrieval

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References (50)

Founder's Pitch

"The Global Temporal Retriever (GTR) enhances any forecasting model's accuracy by capturing long-term periodic patterns with minimal computational costs."

Commercial Viability Breakdown

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