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Nathalia Céspedes

1 accepted papers

2025

A Closer Look at Transformers for Time Series Forecasting: Understanding Why They Work and Where They Struggle

ICML 2025poster

Time-series forecasting is crucial across various domains, including finance, healthcare, and energy. Transformer models, originally developed for natural language processing, have demonstrated significant potential in addressing challenges associated with time-series data. These models utilize diff…

Cited by 0SourcePDFScholar