Cover Image

ASGMamba: Adaptive Spectral Gating Mamba for Multivariate Time Series Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Qianyang, Zhang, Xingjun, Wang, Shaoxun, Wei, Jia, Xing, Yueqi
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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)

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

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

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

Are KANs Effective for Multivariate Time Series Forecasting?
by: Han, Xiao, 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)

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

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

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

ms-Mamba: Multi-scale Mamba for Time-Series Forecasting
by: Karadag, Yusuf Meric, et al.
Published: (2025)

SEED: Spectral Entropy-Guided Evaluation of SpatialTemporal Dependencies for Multivariate Time Series Forecasting
by: Xiong, Feng, et al.
Published: (2025)

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

PFformer: A Position-Free Transformer Variant for Extreme-Adaptive Multivariate Time Series Forecasting
by: Li, Yanhong, 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)

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

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

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

Sequential Order-Robust Mamba for Time Series Forecasting
by: Lee, Seunghan, et al.
Published: (2024)

A Mamba Foundation Model for Time Series Forecasting
by: Ma, Haoyu, et al.
Published: (2024)

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

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

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

Integration of Mamba and Transformer -- MAT for Long-Short Range Time Series Forecasting with Application to Weather Dynamics
by: Zhang, Wenqing, et al.
Published: (2024)

ISMRNN: An Implicitly Segmented RNN Method with Mamba for Long-Term Time Series Forecasting
by: Zhao, GaoXiang, et al.
Published: (2024)

StaTS: Spectral Trajectory Schedule Learning for Adaptive Time Series Forecasting with Frequency Guided Denoiser
by: Zhang, Jintao, et al.
Published: (2026)

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

DeMa: Dual-Path Delay-Aware Mamba for Efficient Multivariate Time Series Analysis
by: An, Rui, et al.
Published: (2026)

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)

Hierarchical Information-Guided Spatio-Temporal Mamba for Stock Time Series Forecasting
by: Yan, Wenbo, et al.
Published: (2025)

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

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

Autocorrelation Reintroduces Spectral Bias in KANs for Time Series Forecasting
by: Zeng, Chen, et al.
Published: (2026)

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

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