TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting
Fuente:
arXiv
Guardado en:
| Autores principales: | Xia, Mingyuan, Zhang, Chunxu, Zhang, Zijian, Miao, Hao, Liu, Qidong, Zhu, Yuanshao, Yang, Bo |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
FedDis: A Causal Disentanglement Framework for Federated Traffic Prediction
por: Zhou, Chengyang, et al.
Publicado: (2026)
por: Zhou, Chengyang, et al.
Publicado: (2026)
Boosting Fine-Grained Urban Flow Inference via Lightweight Architecture and Focalized Optimization
por: Zhu, Yuanshao, et al.
Publicado: (2025)
por: Zhu, Yuanshao, 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)
QKCV Attention: Enhancing Time Series Forecasting with Static Categorical Embeddings for Both Lightweight and Pre-trained Foundation Models
por: Wang, Hao, et al.
Publicado: (2025)
por: Wang, Hao, et al.
Publicado: (2025)
Large Language Model Distilling Medication Recommendation Model
por: Liu, Qidong, et al.
Publicado: (2024)
por: Liu, Qidong, et al.
Publicado: (2024)
SDGF: Fusing Static and Multi-Scale Dynamic Correlations for Multivariate Time Series Forecasting
por: Wang, Shaoxun, et al.
Publicado: (2025)
por: Wang, Shaoxun, 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)
Towards Lightweight Time Series Forecasting: a Patch-wise Transformer with Weak Data Enriching
por: Wang, Meng, et al.
Publicado: (2025)
por: Wang, Meng, et al.
Publicado: (2025)
Beyond Static Uncertainty: Modeling Temporal Uncertainty Dynamics for Probabilistic Time Series Forecasting
por: Wang, Yijun, et al.
Publicado: (2026)
por: Wang, Yijun, et al.
Publicado: (2026)
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment
por: Liu, Chenxi, et al.
Publicado: (2024)
por: Liu, Chenxi, et al.
Publicado: (2024)
DMSC: Dynamic Multi-Scale Coordination Framework for Time Series Forecasting
por: Yang, Haonan, et al.
Publicado: (2025)
por: Yang, Haonan, et al.
Publicado: (2025)
ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model
por: Zhu, Yuanshao, et al.
Publicado: (2024)
por: Zhu, Yuanshao, et al.
Publicado: (2024)
Small but Mighty: Enhancing Time Series Forecasting with Lightweight LLMs
por: Fan, Haoran, et al.
Publicado: (2025)
por: Fan, Haoran, et al.
Publicado: (2025)
TimeSqueeze: Dynamic Patching for Efficient Time Series Forecasting
por: Ankireddy, Sravan Kumar, et al.
Publicado: (2026)
por: Ankireddy, Sravan Kumar, et al.
Publicado: (2026)
Wavelet Mixture of Experts for Time Series Forecasting
por: Zhou, Zheng, et al.
Publicado: (2025)
por: Zhou, Zheng, et al.
Publicado: (2025)
Dynamic TMoE: A Drift-Aware Dynamic Mixture of Experts Framework for Non-Stationary Time Series Forecasting
por: Zhu, Jiawen, et al.
Publicado: (2026)
por: Zhu, Jiawen, et al.
Publicado: (2026)
Deep Learning for Time Series Forecasting: A Survey
por: Kong, Xiangjie, et al.
Publicado: (2025)
por: Kong, Xiangjie, et al.
Publicado: (2025)
D-PAD: Deep-Shallow Multi-Frequency Patterns Disentangling for Time Series Forecasting
por: Yuan, Xiaobing, et al.
Publicado: (2024)
por: Yuan, Xiaobing, et al.
Publicado: (2024)
Deciphering Invariant Feature Decoupling in Source-free Time Series Forecasting with Proxy Denoising
por: Yan, Kangjia, et al.
Publicado: (2025)
por: Yan, Kangjia, 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)
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)
LLM-Powered User Simulator for Recommender System
por: Zhang, Zijian, et al.
Publicado: (2024)
por: Zhang, Zijian, et al.
Publicado: (2024)
Nexus : An Agentic Framework for Time Series Forecasting
por: Das, Sarkar Snigdha Sarathi, et al.
Publicado: (2026)
por: Das, Sarkar Snigdha Sarathi, et al.
Publicado: (2026)
A Mamba Foundation Model for Time Series Forecasting
por: Ma, Haoyu, et al.
Publicado: (2024)
por: Ma, Haoyu, et al.
Publicado: (2024)
Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting
por: Yang, Runze, et al.
Publicado: (2025)
por: Yang, Runze, et al.
Publicado: (2025)
When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications
por: Liu, Qidong, et al.
Publicado: (2023)
por: Liu, Qidong, et al.
Publicado: (2023)
ERIS: An Energy-Guided Feature Disentanglement Framework for Out-of-Distribution Time Series Classification
por: Wu, Xin, et al.
Publicado: (2025)
por: Wu, Xin, et al.
Publicado: (2025)
MM-ISTS: Cooperating Irregularly Sampled Time Series Forecasting with Multimodal Vision-Text LLMs
por: Lei, Zhi, et al.
Publicado: (2026)
por: Lei, Zhi, et al.
Publicado: (2026)
Time Series Forecasting Through the Lens of Dynamics
por: Brachet, Alexis-Raja, et al.
Publicado: (2025)
por: Brachet, Alexis-Raja, et al.
Publicado: (2025)
Are KANs Effective for Multivariate Time Series Forecasting?
por: Han, Xiao, et al.
Publicado: (2024)
por: Han, Xiao, et al.
Publicado: (2024)
Performative Time-Series Forecasting
por: Zhao, Zhiyuan, et al.
Publicado: (2023)
por: Zhao, Zhiyuan, et al.
Publicado: (2023)
Forecasting as Rendering: A 2D Gaussian Splatting Framework for Time Series Forecasting
por: Wang, Yixin, et al.
Publicado: (2026)
por: Wang, Yixin, et al.
Publicado: (2026)
TimePerceiver: An Encoder-Decoder Framework for Generalized Time-Series Forecasting
por: Lee, Jaebin, et al.
Publicado: (2025)
por: Lee, Jaebin, et al.
Publicado: (2025)
M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework
por: Zhang, Zijian, et al.
Publicado: (2024)
por: Zhang, Zijian, et al.
Publicado: (2024)
FiCoTS: Fine-to-Coarse LLM-Enhanced Hierarchical Cross-Modality Interaction for Time Series Forecasting
por: Lyu, Yafei, et al.
Publicado: (2025)
por: Lyu, Yafei, et al.
Publicado: (2025)
TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation
por: Leppich, Robert, et al.
Publicado: (2025)
por: Leppich, Robert, et al.
Publicado: (2025)
Revisiting Multivariate Time Series Forecasting with Missing Values
por: Yang, Jie, et al.
Publicado: (2025)
por: Yang, Jie, et al.
Publicado: (2025)
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)
Nearest Neighbor Multivariate Time Series Forecasting
por: Zhang, Huiliang, et al.
Publicado: (2025)
por: Zhang, Huiliang, et al.
Publicado: (2025)
TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
por: Wang, Yuxuan, et al.
Publicado: (2024)
por: Wang, Yuxuan, et al.
Publicado: (2024)
Ejemplares similares
-
FedDis: A Causal Disentanglement Framework for Federated Traffic Prediction
por: Zhou, Chengyang, et al.
Publicado: (2026) -
Boosting Fine-Grained Urban Flow Inference via Lightweight Architecture and Focalized Optimization
por: Zhu, Yuanshao, et al.
Publicado: (2025) -
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
por: Cai, Ruichu, et al.
Publicado: (2025) -
QKCV Attention: Enhancing Time Series Forecasting with Static Categorical Embeddings for Both Lightweight and Pre-trained Foundation Models
por: Wang, Hao, et al.
Publicado: (2025) -
Large Language Model Distilling Medication Recommendation Model
por: Liu, Qidong, et al.
Publicado: (2024)