Cover Image

DSAT-HD: Dual-Stream Adaptive Transformer with Hybrid Decomposition for Multivariate Time Series Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Zixu, Dong, Hongbin, Zhang, Xiaoping
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HTMformer: Hybrid Time and Multivariate Transformer for Time Series Forecasting
by: Wang, Tan, et al.
Published: (2025)

xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition
by: Stitsyuk, Artyom, et al.
Published: (2024)

DPANet: Dual Pyramid Attention Network for Multivariate Time Series Forecasting
by: Li, Qianyang, et al.
Published: (2025)

ASGMamba: Adaptive Spectral Gating Mamba for Multivariate Time Series Forecasting
by: Li, Qianyang, et al.
Published: (2026)

Adapformer: Adaptive Channel Management for Multivariate Time Series Forecasting
by: Luo, Yuchen, et al.
Published: (2025)

PFformer: A Position-Free Transformer Variant for Extreme-Adaptive Multivariate Time Series Forecasting
by: Li, Yanhong, et al.
Published: (2025)

HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting
by: Feng, Shibo, et al.
Published: (2025)

Ister: Linear Transformer for Efficient Multivariate Time Series Forecasting
by: Cao, Fanpu, et al.
Published: (2024)

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions
by: Chakraborty, Sanjay, et al.
Published: (2024)

Are KANs Effective for Multivariate Time Series Forecasting?
by: Han, Xiao, et al.
Published: (2024)

DSPR: Dual-Stream Physics-Residual Networks for Trustworthy Industrial Time Series Forecasting
by: Zhang, Yeran, et al.
Published: (2026)

Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting
by: Wang, Muyao, et al.
Published: (2024)

Nearest Neighbor Multivariate Time Series Forecasting
by: Zhang, Huiliang, et al.
Published: (2025)

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting
by: Yue, Wenzhen, et al.
Published: (2025)

Revisiting Multivariate Time Series Forecasting with Missing Values
by: Yang, Jie, et al.
Published: (2025)

Deep Coupling Network For Multivariate Time Series Forecasting
by: Yi, Kun, et al.
Published: (2024)

Revisiting Attention for Multivariate Time Series Forecasting
by: Wu, Haixiang
Published: (2024)

DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting
by: Liang, Daojun, et al.
Published: (2025)

Spatio-temporal Multivariate Time Series Forecast with Chosen Variables
by: Liu, Zibo, et al.
Published: (2025)

DualWeaver: Synergistic Feature Weaving Surrogates for Multivariate Forecasting with Univariate Time Series Foundation Models
by: Li, Jinpeng, et al.
Published: (2026)

SCFormer: Structured Channel-wise Transformer with Cumulative Historical State for Multivariate Time Series Forecasting
by: Guo, Shiwei, et al.
Published: (2025)

DDT: A Dual-Masking Dual-Expert Transformer for Energy Time-Series Forecasting
by: Zhu, Mingnan, et al.
Published: (2026)

VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting
by: Yang, Yingnan, et al.
Published: (2024)

AltTS: A Dual-Path Framework with Alternating Optimization for Multivariate Time Series Forecasting
by: Yuan, Zhihang, et al.
Published: (2026)

Online Irregular Multivariate Time Series Forecasting via Uncertainty-Driven Dual-Expert Calibration
by: Wen, Haonan, et al.
Published: (2026)

TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
by: Wang, Yuxuan, et al.
Published: (2024)

SageFormer: Series-Aware Framework for Long-term Multivariate Time Series Forecasting
by: Zhang, Zhenwei, et al.
Published: (2023)

Scalable Transformer for High Dimensional Multivariate Time Series Forecasting
by: Zhou, Xin, et al.
Published: (2024)

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering
by: Niu, Yiming, et al.
Published: (2025)

TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data
by: Taga, Ege Onur, et al.
Published: (2025)

Leveraging Multivariate Long-Term History Representation for Time Series Forecasting
by: Zhang, Huiliang, et al.
Published: (2025)

Winner-takes-all for Multivariate Probabilistic Time Series Forecasting
by: Cortés, Adrien, et al.
Published: (2025)

Enhancing Multivariate Time Series Forecasting with Global Temporal Retrieval
by: Cao, Fanpu, et al.
Published: (2026)

TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting
by: Hu, Jiaxi, et al.
Published: (2024)

SDGF: Fusing Static and Multi-Scale Dynamic Correlations for Multivariate Time Series Forecasting
by: Wang, Shaoxun, et al.
Published: (2025)

UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting
by: Liu, Juncheng, et al.
Published: (2024)

DMamba: Decomposition-enhanced Mamba for Time Series Forecasting
by: Chen, Ruxuan, et al.
Published: (2026)

CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables
by: Lu, Jiecheng, et al.
Published: (2024)

Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis
by: Shao, Zezhi, et al.
Published: (2023)

SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting
by: Xu, Xiongxiao, et al.
Published: (2024)