Perceiver-based CDF Modeling for Time Series Forecasting

Transformers have demonstrated remarkable efficacy in forecasting time series data. However, their extensive dependence on self-attention mechanisms demands significant computational resources, thereby limiting their practical applicability across diverse tasks, especially in multimodal problems. In...

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Veröffentlicht in:	arXiv.org 2024-06
Hauptverfasser:	Le, Cat P, Cannella, Chris, Hasan, Ali, Ng, Yuting, Tarokh, Vahid
Format:	Artikel
Sprache:	eng
Schlagworte:	Coders Complexity Missing data Time series
Online-Zugang:	Volltext
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