A Multi-scale Representation Learning Framework for Long-Term Time Series Forecasting
Fuente:
arXiv
Saved in:
| Main Authors: | Gao, Boshi, Ni, Qingjian, Ju, Fanbo, Chen, Yu, Zhao, Ziqi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Rectifying Distribution Shift in Cascaded Precipitation Nowcasting
by: Ju, Fanbo, et al.
Published: (2025)
by: Ju, Fanbo, et al.
Published: (2025)
TSI: A Multi-View Representation Learning Approach for Time Series Forecasting
by: Gao, Wentao, et al.
Published: (2024)
by: Gao, Wentao, et al.
Published: (2024)
Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting
by: Shen, ChengAo, et al.
Published: (2025)
by: Shen, ChengAo, et al.
Published: (2025)
Disentangled Parameter-Efficient Linear Model for Long-Term Time Series Forecasting
by: Zhao, Yuang, et al.
Published: (2024)
by: Zhao, Yuang, et al.
Published: (2024)
Leveraging Multivariate Long-Term History Representation for Time Series Forecasting
by: Zhang, Huiliang, et al.
Published: (2025)
by: Zhang, Huiliang, et al.
Published: (2025)
Multi-Scale Dilated Convolution Network for Long-Term Time Series Forecasting
by: Li, Feifei, et al.
Published: (2024)
by: Li, Feifei, et al.
Published: (2024)
AverageTime: Enhance Long-Term Time Series Forecasting with Simple Averaging
by: Zhao, Gaoxiang, et al.
Published: (2024)
by: Zhao, Gaoxiang, et al.
Published: (2024)
TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation
by: Ni, Juntong, et al.
Published: (2025)
by: Ni, Juntong, et al.
Published: (2025)
ISMRNN: An Implicitly Segmented RNN Method with Mamba for Long-Term Time Series Forecasting
by: Zhao, GaoXiang, et al.
Published: (2024)
by: Zhao, GaoXiang, et al.
Published: (2024)
HADL Framework for Noise Resilient Long-Term Time Series Forecasting
by: Dey, Aditya, et al.
Published: (2025)
by: Dey, Aditya, et al.
Published: (2025)
WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting
by: Murad, Md Mahmuddun Nabi, et al.
Published: (2024)
by: Murad, Md Mahmuddun Nabi, et al.
Published: (2024)
TFKAN: Time-Frequency KAN for Long-Term Time Series Forecasting
by: Kui, Xiaoyan, et al.
Published: (2025)
by: Kui, Xiaoyan, et al.
Published: (2025)
Unlocking the Power of LSTM for Long Term Time Series Forecasting
by: Kong, Yaxuan, et al.
Published: (2024)
by: Kong, Yaxuan, et al.
Published: (2024)
Loss Shaping Constraints for Long-Term Time Series Forecasting
by: Hounie, Ignacio, et al.
Published: (2024)
by: Hounie, Ignacio, et al.
Published: (2024)
Three-Stage Learning Unlocks Strong Performance in Simple Models for Long-Term Time Series Forecasting
by: Yu, Zhenan, et al.
Published: (2026)
by: Yu, Zhenan, et al.
Published: (2026)
ReNF: Rethinking the Design of Neural Long-Term Time Series Forecasters
by: Lu, Yihang, et al.
Published: (2025)
by: Lu, Yihang, et al.
Published: (2025)
There are no Champions in Supervised Long-Term Time Series Forecasting
by: Brigato, Lorenzo, et al.
Published: (2025)
by: Brigato, Lorenzo, et al.
Published: (2025)
Boosting MLPs with a Coarsening Strategy for Long-Term Time Series Forecasting
by: Bian, Nannan, et al.
Published: (2024)
by: Bian, Nannan, et al.
Published: (2024)
FRWKV:Frequency-Domain Linear Attention for Long-Term Time Series Forecasting
by: Yang, Qingyuan, et al.
Published: (2025)
by: Yang, Qingyuan, et al.
Published: (2025)
KARMA: A Multilevel Decomposition Hybrid Mamba Framework for Multivariate Long-Term Time Series Forecasting
by: Ye, Hang, et al.
Published: (2025)
by: Ye, Hang, et al.
Published: (2025)
XLinear: A Lightweight and Accurate MLP-Based Model for Long-Term Time Series Forecasting with Exogenous Inputs
by: Chen, Xinyang, et al.
Published: (2026)
by: Chen, Xinyang, et al.
Published: (2026)
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting
by: Zhao, Shubao, et al.
Published: (2024)
by: Zhao, Shubao, et al.
Published: (2024)
Simple Contrastive Representation Learning for Time Series Forecasting
by: Zheng, Xiaochen, et al.
Published: (2023)
by: Zheng, Xiaochen, et al.
Published: (2023)
TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state
by: Ma, Xiaowen, et al.
Published: (2025)
by: Ma, Xiaowen, et al.
Published: (2025)
TimeCapsule: Solving the Jigsaw Puzzle of Long-Term Time Series Forecasting with Compressed Predictive Representations
by: Lu, Yihang, et al.
Published: (2025)
by: Lu, Yihang, et al.
Published: (2025)
The Power of Architecture: Deep Dive into Transformer Architectures for Long-Term Time Series Forecasting
by: Shen, Lefei, et al.
Published: (2025)
by: Shen, Lefei, et al.
Published: (2025)
BEAT: Balanced Frequency Adaptive Tuning for Long-Term Time-Series Forecasting
by: Li, Zhixuan, et al.
Published: (2025)
by: Li, Zhixuan, et al.
Published: (2025)
Accelerating Long-Term Molecular Dynamics with Physics-Informed Time-Series Forecasting
by: Le, Hung, et al.
Published: (2025)
by: Le, Hung, et al.
Published: (2025)
BSAT: B-Spline Adaptive Tokenizer for Long-Term Time Series Forecasting
by: Reinwardt, Maximilian, et al.
Published: (2026)
by: Reinwardt, Maximilian, et al.
Published: (2026)
Modeling Temporal Dependencies within the Target for Long-Term Time Series Forecasting
by: Xiong, Qi, et al.
Published: (2024)
by: Xiong, Qi, et al.
Published: (2024)
PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting
by: Gong, Zeying, et al.
Published: (2023)
by: Gong, Zeying, et al.
Published: (2023)
QuLTSF: Long-Term Time Series Forecasting with Quantum Machine Learning
by: Chittoor, Hari Hara Suthan, et al.
Published: (2024)
by: Chittoor, Hari Hara Suthan, et al.
Published: (2024)
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting
by: Chen, Peng, et al.
Published: (2024)
by: Chen, Peng, et al.
Published: (2024)
Learning Recursive Multi-Scale Representations for Irregular Multivariate Time Series Forecasting
by: Li, Boyuan, et al.
Published: (2026)
by: Li, Boyuan, et al.
Published: (2026)
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective
by: Hu, Jiaxi, et al.
Published: (2024)
by: Hu, Jiaxi, et al.
Published: (2024)
Mixture-of-Linear-Experts for Long-term Time Series Forecasting
by: Ni, Ronghao, et al.
Published: (2023)
by: Ni, Ronghao, et al.
Published: (2023)
FreqMoE: Enhancing Time Series Forecasting through Frequency Decomposition Mixture of Experts
by: Liu, Ziqi
Published: (2025)
by: Liu, Ziqi
Published: (2025)
CT-PatchTST: Channel-Time Patch Time-Series Transformer for Long-Term Renewable Energy Forecasting
by: Lu, Kuan, et al.
Published: (2025)
by: Lu, Kuan, et al.
Published: (2025)
UmambaTSF: A U-shaped Multi-Scale Long-Term Time Series Forecasting Method Using Mamba
by: Wu, Li, et al.
Published: (2024)
by: Wu, Li, et al.
Published: (2024)
Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting
by: Zhan, Tianxiang, et al.
Published: (2024)
by: Zhan, Tianxiang, et al.
Published: (2024)
Similar Items
-
Rectifying Distribution Shift in Cascaded Precipitation Nowcasting
by: Ju, Fanbo, et al.
Published: (2025) -
TSI: A Multi-View Representation Learning Approach for Time Series Forecasting
by: Gao, Wentao, et al.
Published: (2024) -
Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting
by: Shen, ChengAo, et al.
Published: (2025) -
Disentangled Parameter-Efficient Linear Model for Long-Term Time Series Forecasting
by: Zhao, Yuang, et al.
Published: (2024) -
Leveraging Multivariate Long-Term History Representation for Time Series Forecasting
by: Zhang, Huiliang, et al.
Published: (2025)