Image de couverture de livre

A SSM is Polymerized from Multivariate Time Series

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Wu, Haixiang
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Revisiting Attention for Multivariate Time Series Forecasting
par: Wu, Haixiang
Publié: (2024)

Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting
par: Hu, Jiaxi, et autres
Publié: (2024)

Algorithmic Recourse in Abnormal Multivariate Time Series
par: Han, Xiao, et autres
Publié: (2023)

Are KANs Effective for Multivariate Time Series Forecasting?
par: Han, Xiao, et autres
Publié: (2024)

On Multivariate Financial Time Series Classification
par: Bournassenko, Grégory
Publié: (2025)

Graph-Aware Contrasting for Multivariate Time-Series Classification
par: Wang, Yucheng, et autres
Publié: (2023)

Multivariate Long-term Time Series Forecasting with Fourier Neural Filter
par: Xu, Chenheng, et autres
Publié: (2025)

Temporal Query Network for Efficient Multivariate Time Series Forecasting
par: Lin, Shengsheng, et autres
Publié: (2025)

MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting
par: Cai, Wanlin, et autres
Publié: (2023)

DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting
par: Qiu, Xiangfei, et autres
Publié: (2024)

Probabilistic Learning of Multivariate Time Series with Temporal Irregularity
par: Li, Yijun, et autres
Publié: (2023)

The Multiverse of Time Series Machine Learning: an Archive for Multivariate Time Series Classification
par: Middlehurst, Matthew, et autres
Publié: (2026)

Bridging Time and Frequency: A Joint Modeling Framework for Irregular Multivariate Time Series Forecasting
par: Qiu, Xiangfei, et autres
Publié: (2026)

ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks
par: Cai, Wanlin, et autres
Publié: (2024)

Stationarity Exploration for Multivariate Time Series Forecasting
par: Liu, Hao, et autres
Publié: (2025)

Multi-scale Transformer Pyramid Networks for Multivariate Time Series Forecasting
par: Zhang, Yifan, et autres
Publié: (2023)

Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting
par: Zhou, Ziyu, et autres
Publié: (2025)

SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
par: Han, Lu, et autres
Publié: (2024)

Transparent Networks for Multivariate Time Series
par: Kim, Minkyu, et autres
Publié: (2024)

Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data
par: Wang, Yucheng, et autres
Publié: (2023)

Time Series Foundation Models for Multivariate Financial Time Series Forecasting
par: Marconi, Ben A.
Publié: (2025)

Multivariate Probabilistic Time Series Forecasting with Correlated Errors
par: Zheng, Vincent Zhihao, et autres
Publié: (2024)

HPMixer: Hierarchical Patching for Multivariate Time Series Forecasting
par: Choi, Jung Min, et autres
Publié: (2026)

Transformer-based Multivariate Time Series Anomaly Localization
par: Shimillas, Charalampos, et autres
Publié: (2025)

Probabilistic Circuits for Irregular Multivariate Time Series Forecasting
par: Klötergens, Christian, et autres
Publié: (2026)

Probabilistic Multivariate Time Series Forecasting with Diffusion Copulas
par: Huk, David, et autres
Publié: (2026)

Time-Series Classification with Multivariate Statistical Dependence Features
par: Sun, Yao, et autres
Publié: (2026)

Label-Free Multivariate Time Series Anomaly Detection
par: Zhou, Qihang, et autres
Publié: (2023)

Valid and Expressive Copulas for Irregular Multivariate Time Series
par: Klötergens, Christian, et autres
Publié: (2026)

Open-Set Multivariate Time-Series Anomaly Detection
par: Lai, Thomas, et autres
Publié: (2023)

Channel-wise Retrieval for Multivariate Time Series Forecasting
par: Kang, Junhyeok, et autres
Publié: (2026)

Univariate Channel Fusion for Multivariate Time Series Classification
par: Moro, Fernando, et autres
Publié: (2026)

HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting
par: Feng, Shibo, et autres
Publié: (2025)

A Statistical Approach for Modeling Irregular Multivariate Time Series with Missing Observations
par: Nie, Dingyi, et autres
Publié: (2026)

A Multi-Agent Framework for Interpreting Multivariate Physiological Time Series
par: Gabrielli, Davide, et autres
Publié: (2026)

Nearest Neighbor Multivariate Time Series Forecasting
par: Zhang, Huiliang, et autres
Publié: (2025)

Data Augmentation for Multivariate Time Series Classification: An Experimental Study
par: Ilbert, Romain, et autres
Publié: (2024)

Channel Matters: Estimating Channel Influence for Multivariate Time Series
par: Wang, Muyao, et autres
Publié: (2024)

VE: Modeling Multivariate Time Series Correlation with Variate Embedding
par: Wang, Shangjiong, et autres
Publié: (2024)

PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting
par: Yu, Yongbo, et autres
Publié: (2024)