Cover Image

Frequency Adaptive Normalization For Non-stationary Time Series Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ye, Weiwei, Deng, Songgaojun, Zou, Qiaosha, Gui, Ning
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

Non-stationary Diffusion For Probabilistic Time Series Forecasting
by: Ye, Weiwei, et al.
Published: (2025)

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

Parametric Prior Mapping Framework for Non-stationary Probabilistic Time Series Forecasting
by: Li, Jinglin, et al.
Published: (2026)

TimeAPN: Adaptive Amplitude-Phase Non-Stationarity Normalization for Time Series Forecasting
by: Hu, Yue, et al.
Published: (2026)

PAMod: Modeling Cyclical Shifts via Phase-Amplitude Modulation for Non-stationary Time Series Forecasting
by: Zhou, Yingbo, et al.
Published: (2026)

Inner-Instance Normalization for Time Series Forecasting
by: Jibao, Zipo, et al.
Published: (2025)

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

M$^2$FMoE: Multi-Resolution Multi-View Frequency Mixture-of-Experts for Extreme-Adaptive Time Series Forecasting
by: Huang, Yaohui, et al.
Published: (2026)

Learning Latent Spaces for Domain Generalization in Time Series Forecasting
by: Deng, Songgaojun, et al.
Published: (2024)

Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection
by: Chen, Feiyi, et al.
Published: (2023)

Wavelet-based Disentangled Adaptive Normalization for Non-stationary Times Series Forecasting
by: Lin, Junpeng, et al.
Published: (2025)

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

FredNormer: Frequency Domain Normalization for Non-stationary Time Series Forecasting
by: Piao, Xihao, et al.
Published: (2024)

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

Adaptive Information Routing for Multimodal Time Series Forecasting
by: Seo, Jun, et al.
Published: (2025)

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

FAITH: Frequency-domain Attention In Two Horizons for Time Series Forecasting
by: Li, Ruiqi, et al.
Published: (2024)

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

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

FEATHer: Fourier-Efficient Adaptive Temporal Hierarchy Forecaster for Time-Series Forecasting
by: Lee, Jaehoon, et al.
Published: (2026)

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

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

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

Adapformer: Adaptive Channel Management for Multivariate Time Series Forecasting
by: Luo, Yuchen, et al.
Published: (2025)

TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting
by: Hu, Jiaxi, et al.
Published: (2024)

Deep Coupling Network For Multivariate Time Series Forecasting
by: Yi, Kun, et al.
Published: (2024)

Forecasting in Offline Reinforcement Learning for Non-stationary Environments
by: Ada, Suzan Ece, et al.
Published: (2025)

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)

Explainable Adaptive Tree-based Model Selection for Time Series Forecasting
by: Jakobs, Matthias, et al.
Published: (2024)

Graph-enabled Reinforcement Learning for Time Series Forecasting with Adaptive Intelligence
by: Shaik, Thanveer, et al.
Published: (2023)

ASGMamba: Adaptive Spectral Gating Mamba for Multivariate Time Series Forecasting
by: Li, Qianyang, 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)

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

EventTSF: Event-Aware Non-Stationary Time Series Forecasting
by: Ge, Yunfeng, et al.
Published: (2025)

KAIROS: Unified Training for Universal Non-Autoregressive Time Series Forecasting
by: Ding, Kuiye, et al.
Published: (2025)

RDIT: Residual-based Diffusion Implicit Models for Probabilistic Time Series Forecasting
by: Lai, Chih-Yu, et al.
Published: (2025)

Ister: Linear Transformer for Efficient Multivariate Time Series Forecasting
by: Cao, Fanpu, et al.
Published: (2024)