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Is Mamba Effective for Time Series Forecasting?
v1v2v3 (latest)

Is Mamba Effective for Time Series Forecasting?

17 March 2024
Zihan Wang
Fanheng Kong
Shi Feng
Ming Wang
Xiaocui Yang
Han Zhao
Daling Wang
Yifei Zhang
    MambaAI4TS
ArXiv (abs)PDFHTMLGithub (286★)

Papers citing "Is Mamba Effective for Time Series Forecasting?"

34 / 34 papers shown
Ada-MoGE: Adaptive Mixture of Gaussian Expert Model for Time Series Forecasting
Ada-MoGE: Adaptive Mixture of Gaussian Expert Model for Time Series Forecasting
Zhenliang Ni
Xiaowen Ma
Zhenkai Wu
Shuai Xiao
Han Shu
X. Chen
AI4TS
125
0
0
29 Nov 2025
Labels Matter More Than Models: Quantifying the Benefit of Supervised Time Series Anomaly Detection
Zhijie Zhong
Zhiwen Yu
Kaixiang Yang
Chao Chen
120
0
0
20 Nov 2025
Uni-Hand: Universal Hand Motion Forecasting in Egocentric Views
Uni-Hand: Universal Hand Motion Forecasting in Egocentric Views
Junyi Ma
Wentao Bao
Jingyi Xu
Guanzhong Sun
Yu Zheng
Erhang Zhang
Xieyuanli Chen
Hesheng Wang
EgoV
484
0
0
17 Nov 2025
A Risk-Neutral Neural Operator for Arbitrage-Free SPX-VIX Term Structures
A Risk-Neutral Neural Operator for Arbitrage-Free SPX-VIX Term Structures
Jianán Zhang
132
0
0
09 Nov 2025
Cortical-SSM: A Deep State Space Model for EEG and ECoG Motor Imagery Decoding
Cortical-SSM: A Deep State Space Model for EEG and ECoG Motor Imagery Decoding
Shuntaro Suzuki
Shunya Nagashima
Masayuki Hirata
Komei Sugiura
81
1
0
17 Oct 2025
Benchmarking M-LTSF: Frequency and Noise-Based Evaluation of Multivariate Long Time Series Forecasting Models
Benchmarking M-LTSF: Frequency and Noise-Based Evaluation of Multivariate Long Time Series Forecasting Models
Nick Janßen
Melanie Schaller
Bodo Rosenhahn
AI4TS
157
2
0
06 Oct 2025
RDIT: Residual-based Diffusion Implicit Models for Probabilistic Time Series Forecasting
RDIT: Residual-based Diffusion Implicit Models for Probabilistic Time Series Forecasting
Chih-Yu Lai
Yu-Chien Ning
Duane S. Boning
DiffMAI4TS
200
0
0
02 Sep 2025
ParallelTime: Dynamically Weighting the Balance of Short- and Long-Term Temporal Dependencies
ParallelTime: Dynamically Weighting the Balance of Short- and Long-Term Temporal Dependencies
Itay Katav
Aryeh Kontorovich
AI4TS
184
0
0
18 Jul 2025
Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting
Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting
Runze Yang
LongBing Cao
Xin You
Kun Fang
Jianxun Li
J. Yang
AI4TS
199
0
0
13 Jul 2025
AutoHFormer: Efficient Hierarchical Autoregressive Transformer for Time Series Prediction
AutoHFormer: Efficient Hierarchical Autoregressive Transformer for Time Series Prediction
Qianru Zhang
Honggang Wen
Ming Li
Dong Huang
Siu-Ming Yiu
Christian S. Jensen
Pietro Lio
AI4TS
210
6
0
19 Jun 2025
SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting
SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting
Yitian Zhang
Liheng Ma
Antonios Valkanas
Boris N. Oreshkin
Mark Coates
AI4TS
263
2
0
17 Jun 2025
A Gravity-informed Spatiotemporal Transformer for Human Activity Intensity Prediction
A Gravity-informed Spatiotemporal Transformer for Human Activity Intensity Prediction
Yi-Fei Wang
Zhenghong Wang
Fan Zhang
Chengling Tang
Chaogui Kang
...
Sijie Ruan
W. Zhang
Yu Zheng
Philip S. Yu
Yu Liu
AI4CE
307
1
0
16 Jun 2025
KARMA: A Multilevel Decomposition Hybrid Mamba Framework for Multivariate Long-Term Time Series ForecastingWireless Algorithms, Systems, and Applications (WASA), 2025
Hang Ye
Gaoxiang Duan
Haoran Zeng
Yangxin Zhu
Lingxue Meng
Xiaoying Zheng
Yongxin Zhu
AI4TS
252
2
0
10 Jun 2025
Mamba Integrated with Physics Principles Masters Long-term Chaotic System Forecasting
Mamba Integrated with Physics Principles Masters Long-term Chaotic System Forecasting
Chang Liu
Bohao Zhao
Jingtao Ding
Huandong Wang
Yong Li
MambaAI4CE
317
0
0
29 May 2025
Forecasting Multivariate Urban Data via Decomposition and Spatio-Temporal Graph Analysis
Forecasting Multivariate Urban Data via Decomposition and Spatio-Temporal Graph Analysis
Amirhossein Sohrabbeig
Omid Ardakanian
Petr Musilek
AI4TSAI4CE
201
0
0
28 May 2025
TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state
TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state
Xiaowen Ma
Zhenliang Ni
Shuai Xiao
Xinghao Chen
AI4TS
255
8
0
27 May 2025
A Set-Sequence Model for Time Series
A Set-Sequence Model for Time Series
Elliot L. Epstein
Apaar Sadhwani
Kay Giesecke
AI4TSBDL
239
1
0
16 May 2025
IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction
IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction
Yifan Zhou
Yibo Wang
Chao Shang
AI4TS
242
0
0
09 May 2025
Bidirectional Linear Recurrent Models for Sequence-Level Multisource Fusion
Bidirectional Linear Recurrent Models for Sequence-Level Multisource Fusion
Qisai Liu
Zhanhong Jiang
Joshua R. Waite
Chao Liu
Aditya Balu
Soumik Sarkar
AI4TS
250
0
0
11 Apr 2025
ms-Mamba: Multi-scale Mamba for Time-Series Forecasting
ms-Mamba: Multi-scale Mamba for Time-Series Forecasting
Yusuf Meric Karadag
Sinan Kalkan
Ipek Gursel Dino
MambaAI4TSAI4CE
269
1
0
10 Apr 2025
Novel Diffusion Models for Multimodal 3D Hand Trajectory Prediction
Novel Diffusion Models for Multimodal 3D Hand Trajectory Prediction
Junyi Ma
Wentao Bao
Jingyi Xu
Guanzhong Sun
Xieyuanli Chen
Hesheng Wang
242
4
0
10 Apr 2025
Attention Mamba: Time Series Modeling with Adaptive Pooling Acceleration and Receptive Field Enhancements
Attention Mamba: Time Series Modeling with Adaptive Pooling Acceleration and Receptive Field Enhancements
Sijie Xiong
Shuqing Liu
Cheng Tang
Fumiya Okubo
Haoling Xiong
Atsushi Shimada
MambaAI4TS
261
1
0
02 Apr 2025
BioMamba: Leveraging Spectro-Temporal Embedding in Bidirectional Mamba for Enhanced Biosignal Classification
BioMamba: Leveraging Spectro-Temporal Embedding in Bidirectional Mamba for Enhanced Biosignal Classification
Jian Qian
Teck Lun Goh
Bingyu Xie
Chengyao Zhu
Biao Wan
Yawen Guan
Rachel Ding Chen
Patrick Chiang
Mamba
403
1
0
14 Mar 2025
ReFocus: Reinforcing Mid-Frequency and Key-Frequency Modeling for Multivariate Time Series Forecasting
ReFocus: Reinforcing Mid-Frequency and Key-Frequency Modeling for Multivariate Time Series Forecasting
Guoqi Yu
Yaoming Li
Juncheng Wang
Xiaoyu Guo
Angelica I. Aviles-Rivero
Tong Yang
Shujun Wang
AI4TS
386
3
0
24 Feb 2025
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State SpaceInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Xin He
Longji Xu
Wenqi Fan
Xu Shen
Xin Juan
Rui Miao
Xin Wang
409
5
0
26 Jan 2025
Automatic selection of the best neural architecture for time series forecasting via multi-objective optimization and Pareto optimality conditions
Automatic selection of the best neural architecture for time series forecasting via multi-objective optimization and Pareto optimality conditions
Qianying Cao
Shanqing Liu
Alan John Varghese
Jérome Darbon
M. Triantafyllou
George Karniadakis
AI4TS
975
2
0
21 Jan 2025
GG-SSMs: Graph-Generating State Space Models
GG-SSMs: Graph-Generating State Space ModelsComputer Vision and Pattern Recognition (CVPR), 2024
Nikola Zubić
Davide Scaramuzza
Mamba
509
3
0
17 Dec 2024
FACTS: A Factored State-Space Framework For World Modelling
FACTS: A Factored State-Space Framework For World ModellingInternational Conference on Learning Representations (ICLR), 2024
Li Nanbo
Firas Laakom
Yucheng Xu
Wenyi Wang
Jürgen Schmidhuber
AI4TS
996
1
0
28 Oct 2024
LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Series Forecasting
LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Series Forecasting
Guoqi Yu
Yaoming Li
Xiaoyu Guo
Dayu Wang
Zirui Liu
Shujun Wang
Tong Yang
AI4TS
956
2
0
22 Oct 2024
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
Maurice Kraus
Felix Divo
Devendra Singh Dhami
Kristian Kersting
AI4TS
268
16
0
22 Oct 2024
Mambular: A Sequential Model for Tabular Deep Learning
Mambular: A Sequential Model for Tabular Deep Learning
Anton Thielmann
Manish Kumar
Christoph Weisser
Arik Reuter
Benjamin Säfken
Soheila Samiee
MambaLMTD
329
17
0
12 Aug 2024
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification
Md Atik Ahamed
Qiang Cheng
Mamba
329
18
0
06 Jun 2024
State Space Model for New-Generation Network Alternative to
  Transformers: A Survey
State Space Model for New-Generation Network Alternative to Transformers: A Survey
Tianlin Li
Shiao Wang
Yuhe Ding
Yuehang Li
Wentao Wu
...
Bowei Jiang
Chenglong Li
Yaowei Wang
Yonghong Tian
Jin Tang
Mamba
414
81
0
15 Apr 2024
A Survey on Time-Series Pre-Trained Models
A Survey on Time-Series Pre-Trained ModelsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Qianli Ma
Ziqiang Liu
Zhenjing Zheng
Ziyang Huang
Siying Zhu
Zhongzhong Yu
James T. Kwok
AI4TS
286
90
0
18 May 2023
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