Conference Paper/Proceeding/Abstract 16 views
Cross-Attention Fusion Improves Time-Series Foundation Model Performance in Short Horizon Forecasting Tasks in Data-Sparse Environments
Matt Ploszajski,
Gary Tam 
,
Xianghua Xie
,
Xianghua Xie
Swansea University Authors:
Matt Ploszajski, Gary Tam , Xianghua Xie
Abstract
Cross-Attention Fusion Improves Time-Series Foundation Model Performance in Short Horizon Forecasting Tasks in Data-Sparse Environments
| Published: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa72039 |
| College: |
Faculty of Science and Engineering |
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| Funders: |
This work was funded by EPSRC grant number EP/S021892/1.
For the purpose of open access the authors have applied a Creative Commons Attri-
bution (CC BY) license to any Author Accepted Manuscript version arising from this
submission. The research is jointly funded by Amicus Therapeutics and the Engineering
the Physical Sciences Research Council. |