Copertina

DySCo: Dynamic Semantic Compression for Effective Long-term Time Series Forecasting

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ao, Xiang, Tan, Yinyu, Chen, Mengru
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

SDMixer: Sparse Dual-Mixer for Time Series Forecasting
di: Ao, Xiang
Pubblicazione: (2026)

Mixture-of-Linear-Experts for Long-term Time Series Forecasting
di: Ni, Ronghao, et al.
Pubblicazione: (2023)

XLinear: Frequency-Enhanced MLP with CrossFilter for Robust Long-Range Forecasting
di: Ao, Xiang
Pubblicazione: (2026)

Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping
di: Li, Zhe, et al.
Pubblicazione: (2023)

xLSTMTime : Long-term Time Series Forecasting With xLSTM
di: Alharthi, Musleh, et al.
Pubblicazione: (2024)

SageFormer: Series-Aware Framework for Long-term Multivariate Time Series Forecasting
di: Zhang, Zhenwei, et al.
Pubblicazione: (2023)

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

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

PENGUIN: Enhancing Transformer with Periodic-Nested Group Attention for Long-term Time Series Forecasting
di: Sun, Tian, et al.
Pubblicazione: (2025)

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

MoHETS: Long-term Time Series Forecasting with Mixture-of-Heterogeneous-Experts
di: Ortigossa, Evandro S., et al.
Pubblicazione: (2026)

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

TimelyGPT: Extrapolatable Transformer Pre-training for Long-term Time-Series Forecasting in Healthcare
di: Song, Ziyang, et al.
Pubblicazione: (2023)

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

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

Quantum Kernel-Based Long Short-term Memory for Climate Time-Series Forecasting
di: Hsu, Yu-Chao, et al.
Pubblicazione: (2024)

MoDEx: Mixture of Depth-specific Experts for Multivariate Long-term Time Series Forecasting
di: Yoon, Hyekyung, et al.
Pubblicazione: (2026)

A lightweight Spatial-Temporal Graph Neural Network for Long-term Time Series Forecasting
di: Moges, Henok Tenaw, et al.
Pubblicazione: (2025)

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

Are Self-Attentions Effective for Time Series Forecasting?
di: Kim, Dongbin, et al.
Pubblicazione: (2024)

Are KANs Effective for Multivariate Time Series Forecasting?
di: Han, Xiao, et al.
Pubblicazione: (2024)

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

ISMRNN: An Implicitly Segmented RNN Method with Mamba for Long-Term Time Series Forecasting
di: Zhao, GaoXiang, et al.
Pubblicazione: (2024)

TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data
di: Taga, Ege Onur, et al.
Pubblicazione: (2025)

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

Enhancing Transformer-based models for Long Sequence Time Series Forecasting via Structured Matrix
di: Zhang, Zhicheng, et al.
Pubblicazione: (2024)

TimeCapsule: Solving the Jigsaw Puzzle of Long-Term Time Series Forecasting with Compressed Predictive Representations
di: Lu, Yihang, et al.
Pubblicazione: (2025)

HTMformer: Hybrid Time and Multivariate Transformer for Time Series Forecasting
di: Wang, Tan, et al.
Pubblicazione: (2025)

Time Series Forecasting Through the Lens of Dynamics
di: Brachet, Alexis-Raja, et al.
Pubblicazione: (2025)

TimeCNN: Refining Cross-Variable Interaction on Time Point for Time Series Forecasting
di: Hu, Ao, et al.
Pubblicazione: (2024)

SDGF: Fusing Static and Multi-Scale Dynamic Correlations for Multivariate Time Series Forecasting
di: Wang, Shaoxun, et al.
Pubblicazione: (2025)

IndexNet: Timestamp and Variable-Aware Modeling for Time Series Forecasting
di: Wu, Beiliang, et al.
Pubblicazione: (2025)

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

Test Time Learning for Time Series Forecasting
di: Christou, Panayiotis, et al.
Pubblicazione: (2024)

SVTime: Small Time Series Forecasting Models Informed by "Physics" of Large Vision Model Forecasters
di: Shen, ChengAo, et al.
Pubblicazione: (2025)

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

UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting
di: Liu, Juncheng, et al.
Pubblicazione: (2024)

Numerion: A Multi-Hypercomplex Model for Time Series Forecasting
di: Cao, Hanzhong, et al.
Pubblicazione: (2025)

Integration of Mamba and Transformer -- MAT for Long-Short Range Time Series Forecasting with Application to Weather Dynamics
di: Zhang, Wenqing, et al.
Pubblicazione: (2024)

TimeSAF: Towards LLM-Guided Semantic Asynchronous Fusion for Time Series Forecasting
di: Zhang, Fan, et al.
Pubblicazione: (2026)