most citedCausal Discovery from Time-Series Data with Short-Term Invariance-Based Convolutional Neural Networks

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cs.AI2024

FiVTS: Time Series Forecasting Via Capturing Intra- and Inter-Variable Variations in the Frequency Domain

Rujia Shen, Yang Yang, Yaoxion Lin +4

Time series forecasting (TSF) plays a crucial role in various applications, including medical monitoring and crop growth. Despite the advancements in deep learning methods for TSF,…

cs.AI2022

Causal Coupled Mechanisms: A Control Method with Cooperation and Competition for Complex System

Xuehui Yu, Jingchi Jiang, Xinmiao Yu +2

Complex systems are ubiquitous in the real world and tend to have complicated and poorly understood dynamics. For their control issues, the challenge is to guarantee accuracy, robu…