June 5, 2024, 4:43 a.m. | Remi Genet, Hugo Inzirillo

cs.LG updates on arXiv.org arxiv.org

arXiv:2406.02486v1 Announce Type: new
Abstract: Capturing complex temporal patterns and relationships within multivariate data streams is a difficult task. We propose the Temporal Kolmogorov-Arnold Transformer (TKAT), a novel attention-based architecture designed to address this task using Temporal Kolmogorov-Arnold Networks (TKANs). Inspired by the Temporal Fusion Transformer (TFT), TKAT emerges as a powerful encoder-decoder model tailored to handle tasks in which the observed part of the features is more important than the a priori known part. This new architecture combined the …

abstract architecture arxiv attention cs.lg data data streams forecasting fusion multivariate networks novel patterns relationships series temporal time series time series forecasting transformer type

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