Cover Image

DPANet: Dual Pyramid Attention Network for Multivariate Time Series Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Qianyang, Zhang, Xingjun, Wang, Shaoxun, Wei, Jia
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

DPWMixer: Dual-Path Wavelet Mixer for Long-Term Time Series Forecasting
by: Qianyang, Li, et al.
Published: (2025)

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

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

AWEMixer: Adaptive Wavelet-Enhanced Mixer Network for Long-Term Time Series Forecasting
by: Li, Qianyang, et al.
Published: (2025)

D-CTNet: A Dual-Branch Channel-Temporal Forecasting Network with Frequency-Domain Correction
by: Wang, Shaoxun, et al.
Published: (2025)

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

HELLoRA: Hot Experts Layer-Level Low-Rank Adaptation for Mixture-of-Experts Models
by: Wei, Jia, et al.
Published: (2026)

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

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

DSAT-HD: Dual-Stream Adaptive Transformer with Hybrid Decomposition for Multivariate Time Series Forecasting
by: Wang, Zixu, et al.
Published: (2025)

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

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

FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation
by: Li, Runze, 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)

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

HN-MVTS: HyperNetwork-based Multivariate Time Series Forecasting
by: Savchenko, Andrey, et al.
Published: (2025)

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

PAMNet: Cycle-aware Phase-Amplitude Modulation Network for Multivariate Time Series Forecasting
by: Zhou, Yingbo, et al.
Published: (2026)

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

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

GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing
by: Yu, Chengqing, et al.
Published: (2024)

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

Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis
by: Liu, Zhe, et al.
Published: (2024)

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

Context Neural Networks: A Scalable Multivariate Model for Time Series Forecasting
by: Sriramulu, Abishek, 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)

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

Contrast Similarity-Aware Dual-Pathway Mamba for Multivariate Time Series Node Classification
by: Du, Mingsen, et al.
Published: (2024)

Attention as Robust Representation for Time Series Forecasting
by: Niu, PeiSong, et al.
Published: (2024)

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

Zero-shot Multivariate Time Series Forecasting Using Tabular Prior Fitted Networks
by: Jayawardhana, Mayuka, et al.
Published: (2026)

Efficient Linear Attention for Multivariate Time Series Modeling via Entropy Equality
by: Zhang, Mingtao, 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)

Capture Timing-Attention of Events in Clinical Time Series
by: Li, Jia, et al.
Published: (2026)

CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting
by: Wang, Haoxin, et al.
Published: (2023)

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

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

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