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News/Spatially-Enhanced Temporal Fusion Transformer: Interpretable Multi-Output Prediction for Parametric Dynamical Systems with Time-Varying Inputs
arxiv
PublishedJuly 27, 2026 at 4:00 AM
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Spatially-Enhanced Temporal Fusion Transformer: Interpretable Multi-Output Prediction for Parametric Dynamical Systems with Time-Varying Inputs

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2505.00473v2 Announce Type: replace Abstract: We explore the promising performance of a transformer model in predicting outputs of parametric dynamical systems with external time-varying input signals. The outputs of such systems vary not only with physical parameters but also with external ti

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Discussion
Mentioned models
02
  • 01
    Temporal Fusion Transformer (TFT)
  • 02
    Spatially-Enhanced Temporal Fusion Transformer (SE-TFT)
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#machine-learning#transformer#dynamical-systems#prediction

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Mentioned models
02
  • 01
    Temporal Fusion Transformer (TFT)
  • 02
    Spatially-Enhanced Temporal Fusion Transformer (SE-TFT)
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#machine-learning#transformer#dynamical-systems#prediction

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