Guardado en:
| Autores principales: | Wang, Hua, Jiao, Xianhao, Zhang, Fan |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2605.16449 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
IdealTSF: Can Non-Ideal Data Contribute to Enhancing the Performance of Time Series Forecasting Models?
por: Wang, Hua, et al.
Publicado: (2025)
por: Wang, Hua, et al.
Publicado: (2025)
EventTSF: Event-Aware Non-Stationary Time Series Forecasting
por: Ge, Yunfeng, et al.
Publicado: (2025)
por: Ge, Yunfeng, et al.
Publicado: (2025)
LMS-AutoTSF: Learnable Multi-Scale Decomposition and Integrated Autocorrelation for Time Series Forecasting
por: Delibasoglu, Ibrahim, et al.
Publicado: (2024)
por: Delibasoglu, Ibrahim, et al.
Publicado: (2024)
QuaCK-TSF: Quantum-Classical Kernelized Time Series Forecasting
por: Aaraba, Abdallah, et al.
Publicado: (2024)
por: Aaraba, Abdallah, et al.
Publicado: (2024)
FlexTSF: A Flexible Forecasting Model for Time Series with Variable Regularities
por: Xiao, Jingge, et al.
Publicado: (2024)
por: Xiao, Jingge, et al.
Publicado: (2024)
CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting
por: Ding, Jianrong, et al.
Publicado: (2024)
por: Ding, Jianrong, et al.
Publicado: (2024)
Time-TK: A Multi-Offset Temporal Interaction Framework Combining Transformer and Kolmogorov-Arnold Networks for Time Series Forecasting
por: Zhang, Fan, et al.
Publicado: (2026)
por: Zhang, Fan, et al.
Publicado: (2026)
HADL Framework for Noise Resilient Long-Term Time Series Forecasting
por: Dey, Aditya, et al.
Publicado: (2025)
por: Dey, Aditya, et al.
Publicado: (2025)
SageFormer: Series-Aware Framework for Long-term Multivariate Time Series Forecasting
por: Zhang, Zhenwei, et al.
Publicado: (2023)
por: Zhang, Zhenwei, et al.
Publicado: (2023)
TimeSAF: Towards LLM-Guided Semantic Asynchronous Fusion for Time Series Forecasting
por: Zhang, Fan, et al.
Publicado: (2026)
por: Zhang, Fan, et al.
Publicado: (2026)
There are no Champions in Supervised Long-Term Time Series Forecasting
por: Brigato, Lorenzo, et al.
Publicado: (2025)
por: Brigato, Lorenzo, et al.
Publicado: (2025)
DPWMixer: Dual-Path Wavelet Mixer for Long-Term Time Series Forecasting
por: Qianyang, Li, et al.
Publicado: (2025)
por: Qianyang, Li, et al.
Publicado: (2025)
A Decomposition Modeling Framework for Seasonal Time-Series Forecasting
por: Pang, Yining, et al.
Publicado: (2024)
por: Pang, Yining, et al.
Publicado: (2024)
Leveraging Multivariate Long-Term History Representation for Time Series Forecasting
por: Zhang, Huiliang, et al.
Publicado: (2025)
por: Zhang, Huiliang, et al.
Publicado: (2025)
Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting
por: Nematirad, Reza, et al.
Publicado: (2025)
por: Nematirad, Reza, et al.
Publicado: (2025)
UmambaTSF: A U-shaped Multi-Scale Long-Term Time Series Forecasting Method Using Mamba
por: Wu, Li, et al.
Publicado: (2024)
por: Wu, Li, et al.
Publicado: (2024)
Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting
por: Tang, Peiwang, et al.
Publicado: (2024)
por: Tang, Peiwang, et al.
Publicado: (2024)
L-Drive: Beyond a Single Mapping-Latent Context Drives Time Series Forecasting
por: Zhang, Fan, et al.
Publicado: (2026)
por: Zhang, Fan, et al.
Publicado: (2026)
Prototype-Guided Classification Sub-Task Decoupling Framework: Enhancing Generalization and Interpretability for Multivariate Time Series
por: Song, Xianhao, et al.
Publicado: (2026)
por: Song, Xianhao, et al.
Publicado: (2026)
ISMRNN: An Implicitly Segmented RNN Method with Mamba for Long-Term Time Series Forecasting
por: Zhao, GaoXiang, et al.
Publicado: (2024)
por: Zhao, GaoXiang, et al.
Publicado: (2024)
Multi-Scale Dilated Convolution Network for Long-Term Time Series Forecasting
por: Li, Feifei, et al.
Publicado: (2024)
por: Li, Feifei, et al.
Publicado: (2024)
BEAT: Balanced Frequency Adaptive Tuning for Long-Term Time-Series Forecasting
por: Li, Zhixuan, et al.
Publicado: (2025)
por: Li, Zhixuan, et al.
Publicado: (2025)
Disentangled Parameter-Efficient Linear Model for Long-Term Time Series Forecasting
por: Zhao, Yuang, et al.
Publicado: (2024)
por: Zhao, Yuang, et al.
Publicado: (2024)
Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks
por: Ma'sum, Muhammad Anwar, et al.
Publicado: (2024)
por: Ma'sum, Muhammad Anwar, et al.
Publicado: (2024)
A Unified Frequency Domain Decomposition Framework for Interpretable and Robust Time Series Forecasting
por: He, Cheng, et al.
Publicado: (2025)
por: He, Cheng, et al.
Publicado: (2025)
TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting
por: Huang, Songtao, et al.
Publicado: (2025)
por: Huang, Songtao, et al.
Publicado: (2025)
PENGUIN: Enhancing Transformer with Periodic-Nested Group Attention for Long-term Time Series Forecasting
por: Sun, Tian, et al.
Publicado: (2025)
por: Sun, Tian, et al.
Publicado: (2025)
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective
por: Hu, Jiaxi, et al.
Publicado: (2024)
por: Hu, Jiaxi, et al.
Publicado: (2024)
DMamba: Decomposition-enhanced Mamba for Time Series Forecasting
por: Chen, Ruxuan, et al.
Publicado: (2026)
por: Chen, Ruxuan, et al.
Publicado: (2026)
Unified Long-Term Time-Series Forecasting Benchmark
por: Cyranka, Jacek, et al.
Publicado: (2023)
por: Cyranka, Jacek, et al.
Publicado: (2023)
Enhancing Transformer-based models for Long Sequence Time Series Forecasting via Structured Matrix
por: Zhang, Zhicheng, et al.
Publicado: (2024)
por: Zhang, Zhicheng, et al.
Publicado: (2024)
HRS: Hybrid Representation Framework with Scheduling Awareness for Time Series Forecasting in Crowdsourced Cloud-Edge Platforms
por: Zhang, Tiancheng, et al.
Publicado: (2025)
por: Zhang, Tiancheng, et al.
Publicado: (2025)
Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting
por: Shen, ChengAo, et al.
Publicado: (2025)
por: Shen, ChengAo, et al.
Publicado: (2025)
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
por: Cai, Ruichu, et al.
Publicado: (2025)
por: Cai, Ruichu, et al.
Publicado: (2025)
PeriodNet: Boosting the Potential of Attention Mechanism for Time Series Forecasting
por: Zhao, Bowen, et al.
Publicado: (2025)
por: Zhao, Bowen, et al.
Publicado: (2025)
Factorize to Generalize: Retrieval-Guided Invariant-Dynamic Decomposition for Time Series Forecasting
por: Chi, Jinjin, et al.
Publicado: (2026)
por: Chi, Jinjin, et al.
Publicado: (2026)
QuLTSF: Long-Term Time Series Forecasting with Quantum Machine Learning
por: Chittoor, Hari Hara Suthan, et al.
Publicado: (2024)
por: Chittoor, Hari Hara Suthan, et al.
Publicado: (2024)
DSAT-HD: Dual-Stream Adaptive Transformer with Hybrid Decomposition for Multivariate Time Series Forecasting
por: Wang, Zixu, et al.
Publicado: (2025)
por: Wang, Zixu, et al.
Publicado: (2025)
ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting
por: Seo, Hyunwoo, et al.
Publicado: (2025)
por: Seo, Hyunwoo, et al.
Publicado: (2025)
Dual-Prototype Disentanglement: A Context-Aware Enhancement Framework for Time Series Forecasting
por: Yang, Haonan, et al.
Publicado: (2026)
por: Yang, Haonan, et al.
Publicado: (2026)
Ejemplares similares
-
IdealTSF: Can Non-Ideal Data Contribute to Enhancing the Performance of Time Series Forecasting Models?
por: Wang, Hua, et al.
Publicado: (2025) -
EventTSF: Event-Aware Non-Stationary Time Series Forecasting
por: Ge, Yunfeng, et al.
Publicado: (2025) -
LMS-AutoTSF: Learnable Multi-Scale Decomposition and Integrated Autocorrelation for Time Series Forecasting
por: Delibasoglu, Ibrahim, et al.
Publicado: (2024) -
QuaCK-TSF: Quantum-Classical Kernelized Time Series Forecasting
por: Aaraba, Abdallah, et al.
Publicado: (2024) -
FlexTSF: A Flexible Forecasting Model for Time Series with Variable Regularities
por: Xiao, Jingge, et al.
Publicado: (2024)