Cover Image

ISMRNN: An Implicitly Segmented RNN Method with Mamba for Long-Term Time Series Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, GaoXiang, Zhou, Li, Wang, XiaoQiang
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Disentangled Parameter-Efficient Linear Model for Long-Term Time Series Forecasting
by: Zhao, Yuang, et al.
Published: (2024)

SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting
by: Zhang, Yitian, et al.
Published: (2025)

Multi-Scale Dilated Convolution Network for Long-Term Time Series Forecasting
by: Li, Feifei, et al.
Published: (2024)

There are no Champions in Supervised Long-Term Time Series Forecasting
by: Brigato, Lorenzo, et al.
Published: (2025)

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

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

Breaking the Context Bottleneck on Long Time Series Forecasting
by: Ma, Chao, et al.
Published: (2024)

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

Long Input Sequence Network for Long Time Series Forecasting
by: Ma, Chao, et al.
Published: (2024)

MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting
by: Cai, Xiuding, et al.
Published: (2024)

BEAT: Balanced Frequency Adaptive Tuning for Long-Term Time-Series Forecasting
by: Li, Zhixuan, et al.
Published: (2025)

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

HADL Framework for Noise Resilient Long-Term Time Series Forecasting
by: Dey, Aditya, et al.
Published: (2025)

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

Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
by: Cai, Ruichu, et al.
Published: (2025)

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)

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)

STM3: Mixture of Multiscale Mamba for Long-Term Spatio-Temporal Time-Series Prediction
by: Chen, Haolong, et al.
Published: (2025)

Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting
by: Shen, ChengAo, et al.
Published: (2025)

Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks
by: Ma'sum, Muhammad Anwar, et al.
Published: (2024)

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

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

Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting
by: Tang, Peiwang, et al.
Published: (2024)

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model
by: Wang, Xue, et al.
Published: (2025)

TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting
by: Feng, Shibo, et al.
Published: (2025)

PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting
by: Wang, Yanlong, et al.
Published: (2024)

PESD-TSF: A Period-Aware and Explicit Structured Decomposition Framework for Long-Term Time Series Forecasting
by: Wang, Hua, et al.
Published: (2026)

Mamba Integrated with Physics Principles Masters Long-term Chaotic System Forecasting
by: Liu, Chang, et al.
Published: (2025)

DySCo: Dynamic Semantic Compression for Effective Long-term Time Series Forecasting
by: Ao, Xiang, et al.
Published: (2026)

Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations
by: Naour, Etienne Le, et al.
Published: (2023)

Unified Long-Term Time-Series Forecasting Benchmark
by: Cyranka, Jacek, et al.
Published: (2023)

Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective
by: Hu, Jiaxi, et al.
Published: (2024)

QuLTSF: Long-Term Time Series Forecasting with Quantum Machine Learning
by: Chittoor, Hari Hara Suthan, et al.
Published: (2024)

AROpt: An Optimization Method for Autoregressive Time Series Forecasting
by: Li, Zheng, et al.
Published: (2026)

MedMamba: Recasting Mamba for Medical Time Series Classification
by: He, ZhengXiao, et al.
Published: (2026)

To See Far, Look Close: Evolutionary Forecasting for Long-term Time Series
by: Ma, Jiaming, et al.
Published: (2026)

Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers
by: Cheng, Xin, et al.
Published: (2024)

MS-DFTVNet:A Long-Term Time Series Prediction Method Based on Multi-Scale Deformable Convolution
by: Li, Chenghan, et al.
Published: (2025)

TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting
by: Huang, Songtao, et al.
Published: (2025)