Benchmarking Foundation Models for Time-Series Forecasting: Zero-Shot, Few-Shot, and Full-Shot Evaluations

Recently, time-series forecasting foundation models trained on large, diverse datasets have demonstrated robust zero-shot and few-shot capabilities. Given the ubiquity of time-series data in IoT, finance, and industrial applications, rigorous benchmarking is essential to assess their forecasting per...

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Autors principals:	Frédéric Montet, Benjamin Pasquier, Beat Wolf
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2025-09-01
Col·lecció:	Computer Sciences & Mathematics Forum
Matèries:	zero-shot forecasting foundation models model benchmarking time series analysis industrial applications
Accés en línia:	https://www.mdpi.com/2813-0324/11/1/32
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