Cover Image

FAITH: Frequency-domain Attention In Two Horizons for Time Series Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Ruiqi, Jiang, Maowei, Wang, Kai, Feng, Kaiduo, Liu, Quangao, Sun, Yue, Zhou, Xiufang
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

WindowMixer: Intra-Window and Inter-Window Modeling for Time Series Forecasting
by: Liu, Quangao, et al.
Published: (2024)

Attention as Robust Representation for Time Series Forecasting
by: Niu, PeiSong, et al.
Published: (2024)

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting
by: Yue, Wenzhen, et al.
Published: (2025)

A Learnable Multi-views Contrastive Framework with Reconstruction Discrepancy for Medical Time-Series
by: Wang, Yifan, et al.
Published: (2025)

MDMLP-EIA: Multi-domain Dynamic MLPs with Energy Invariant Attention for Time Series Forecasting
by: Zhang, Hu, et al.
Published: (2025)

MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models
by: Liu, Yiwen, et al.
Published: (2025)

Revisiting Attention for Multivariate Time Series Forecasting
by: Wu, Haixiang
Published: (2024)

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

EffiCANet: Efficient Time Series Forecasting with Convolutional Attention
by: Zhou, Xinxing, et al.
Published: (2024)

Fredformer: Frequency Debiased Transformer for Time Series Forecasting
by: Piao, Xihao, et al.
Published: (2024)

Optimal Look-back Horizon for Time Series Forecasting in Federated Learning
by: Tang, Dahao, et al.
Published: (2025)

PeriodNet: Boosting the Potential of Attention Mechanism for Time Series Forecasting
by: Zhao, Bowen, et al.
Published: (2025)

PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting
by: Wang, Yanlong, et al.
Published: (2024)

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

LeapTS: Rethinking Time Series Forecasting as Adaptive Multi-Horizon Scheduling
by: Pan, Sheng, et al.
Published: (2026)

Frequency Adaptive Normalization For Non-stationary Time Series Forecasting
by: Ye, Weiwei, et al.
Published: (2024)

StretchTime: Adaptive Time Series Forecasting via Symplectic Attention
by: Kim, Yubin, et al.
Published: (2026)

Multi-Horizon Time Series Forecasting of non-parametric CDFs with Deep Lattice Networks
by: Erdmann, Niklas, et al.
Published: (2025)

Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting
by: Fan, Wei, et al.
Published: (2024)

ReFocus: Reinforcing Mid-Frequency and Key-Frequency Modeling for Multivariate Time Series Forecasting
by: Yu, Guoqi, et al.
Published: (2025)

Nested Spatio-Temporal Time Series Forecasting
by: Ai, Yinghao, et al.
Published: (2026)

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting
by: Yang, Runze, et al.
Published: (2025)

StaTS: Spectral Trajectory Schedule Learning for Adaptive Time Series Forecasting with Frequency Guided Denoiser
by: Zhang, Jintao, et al.
Published: (2026)

HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting
by: Feng, Shibo, et al.
Published: (2025)

Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting
by: Kang, Bong Gyun, et al.
Published: (2024)

DPANet: Dual Pyramid Attention Network for Multivariate Time Series Forecasting
by: Li, Qianyang, et al.
Published: (2025)

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

Towards Reliable Time Series Forecasting under Future Uncertainty: Ambiguity and Novelty Rejection Mechanisms
by: Feng, Ninghui, et al.
Published: (2025)

Performative Time-Series Forecasting
by: Zhao, Zhiyuan, et al.
Published: (2023)

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

Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting
by: Hu, Yifan, et al.
Published: (2025)

Deep Learning for Time Series Forecasting: A Survey
by: Kong, Xiangjie, et al.
Published: (2025)

DMamba: Decomposition-enhanced Mamba for Time Series Forecasting
by: Chen, Ruxuan, et al.
Published: (2026)

Nearest Neighbor Multivariate Time Series Forecasting
by: Zhang, Huiliang, et al.
Published: (2025)

CAPS: Unifying Attention, Recurrence, and Alignment in Transformer-based Time Series Forecasting
by: Pati, Viresh, et al.
Published: (2026)

A Unified Frequency Domain Decomposition Framework for Interpretable and Robust Time Series Forecasting
by: He, Cheng, et al.
Published: (2025)

Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting
by: Nguyen, Huu Hiep, et al.
Published: (2026)

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

FilterNet: Harnessing Frequency Filters for Time Series Forecasting
by: Yi, Kun, et al.
Published: (2024)

FreqLens: Interpretable Frequency Attribution for Time Series Forecasting
by: Chen, Chi-Sheng, et al.
Published: (2026)