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PatchDecomp: Interpretable Patch-Based Time Series Forecasting

Published in arXiv (Cornell University) • Mar 4, 2026
NobleIDNI6P927W962R954S796
Authors:
Hiroki Tomioka
,
Genta Yoshimura

Abstract

Time series forecasting, which predicts future values from past observations, plays a central role in many domains and has driven the development of highly accurate neural network models. However, the complexity of these models often limits human understanding of the rationale behind their predictio...

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