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pro vyhledávání: '"Żukowska, Nina"'
Time series foundation models have shown impressive performance on a variety of tasks, across a wide range of domains, even in zero-shot settings. However, most of these models are designed to handle short univariate time series as an input. This lim
Externí odkaz:
http://arxiv.org/abs/2409.13530
Time series foundation models (TSFMs) promise to be powerful tools for a wide range of applications. However, their internal representations and learned concepts are still not well understood. In this study, we investigate the structure and redundanc
Externí odkaz:
http://arxiv.org/abs/2409.12915
Autor:
Potosnak, Willa, Challu, Cristian, Goswami, Mononito, Wiliński, Michał, Żukowska, Nina, Dubrawski, Artur
Recently, time series foundation models have shown promising zero-shot forecasting performance on time series from a wide range of domains. However, it remains unclear whether their success stems from a true understanding of temporal dynamics or simp
Externí odkaz:
http://arxiv.org/abs/2409.10840