Enregistré dans:
| Auteurs principaux: | An, Zhongde, You, Jinhong, Li, Jiyanglin, Tang, Yiming, Li, Wen, Du, Heming, Du, Shouguo |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2511.11817 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Fre-CW: Targeted Attack on Time Series Forecasting using Frequency Domain Loss
par: Feng, Naifu, et autres
Publié: (2025)
par: Feng, Naifu, et autres
Publié: (2025)
FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting
par: Yue, Wenzhen, et autres
Publié: (2025)
par: Yue, Wenzhen, et autres
Publié: (2025)
FreIE: Low-Frequency Spectral Bias in Neural Networks for Time-Series Tasks
par: Sun, Jialong, et autres
Publié: (2025)
par: Sun, Jialong, et autres
Publié: (2025)
FreCT: Frequency-augmented Convolutional Transformer for Robust Time Series Anomaly Detection
par: Zhang, Wenxin, et autres
Publié: (2025)
par: Zhang, Wenxin, et autres
Publié: (2025)
FreDF: Learning to Forecast in the Frequency Domain
par: Wang, Hao, et autres
Publié: (2024)
par: Wang, Hao, et autres
Publié: (2024)
MLOW: Interpretable Low-Rank Frequency Magnitude Decomposition of Multiple Effects for Time Series Forecasting
par: Yang, Runze, et autres
Publié: (2026)
par: Yang, Runze, et autres
Publié: (2026)
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling
par: Yu, Guoqi, et autres
Publié: (2024)
par: Yu, Guoqi, et autres
Publié: (2024)
FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification
par: Tian, Tian, et autres
Publié: (2025)
par: Tian, Tian, et autres
Publié: (2025)
Routing Channel-Patch Dependencies in Time Series Forecasting with Graph Spectral Decomposition
par: Li, Dongyuan, et autres
Publié: (2026)
par: Li, Dongyuan, et autres
Publié: (2026)
Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting
par: Deng, Jinliang, et autres
Publié: (2023)
par: Deng, Jinliang, et autres
Publié: (2023)
Learnable Koopman-Enhanced Transformer-Based Time Series Forecasting with Spectral Control
par: Forootani, Ali, et autres
Publié: (2026)
par: Forootani, Ali, et autres
Publié: (2026)
On the Regularization of Learnable Embeddings for Time Series Forecasting
par: Butera, Luca, et autres
Publié: (2024)
par: Butera, Luca, et autres
Publié: (2024)
LMS-AutoTSF: Learnable Multi-Scale Decomposition and Integrated Autocorrelation for Time Series Forecasting
par: Delibasoglu, Ibrahim, et autres
Publié: (2024)
par: Delibasoglu, Ibrahim, et autres
Publié: (2024)
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting
par: Deng, Jinliang, et autres
Publié: (2024)
par: Deng, Jinliang, et autres
Publié: (2024)
Sequence Complementor: Complementing Transformers For Time Series Forecasting with Learnable Sequences
par: Chen, Xiwen, et autres
Publié: (2025)
par: Chen, Xiwen, et autres
Publié: (2025)
Dual-Prototype Disentanglement: A Context-Aware Enhancement Framework for Time Series Forecasting
par: Yang, Haonan, et autres
Publié: (2026)
par: Yang, Haonan, et autres
Publié: (2026)
RI-Loss: A Learnable Residual-Informed Loss for Time Series Forecasting
par: Wang, Jieting, et autres
Publié: (2025)
par: Wang, Jieting, et autres
Publié: (2025)
TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting
par: Huang, Songtao, et autres
Publié: (2025)
par: Huang, Songtao, et autres
Publié: (2025)
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis
par: Ni, Zelin, et autres
Publié: (2023)
par: Ni, Zelin, et autres
Publié: (2023)
A Unified Frequency Domain Decomposition Framework for Interpretable and Robust Time Series Forecasting
par: He, Cheng, et autres
Publié: (2025)
par: He, Cheng, et autres
Publié: (2025)
Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting
par: Yang, Runze, et autres
Publié: (2025)
par: Yang, Runze, et autres
Publié: (2025)
A Hybrid Loss Framework for Decomposition-based Time Series Forecasting Methods: Balancing Global and Component Errors
par: Han, Ronghui, et autres
Publié: (2024)
par: Han, Ronghui, et autres
Publié: (2024)
Factorize to Generalize: Retrieval-Guided Invariant-Dynamic Decomposition for Time Series Forecasting
par: Chi, Jinjin, et autres
Publié: (2026)
par: Chi, Jinjin, et autres
Publié: (2026)
Timing is Important: Risk-aware Fund Allocation based on Time-Series Forecasting
par: Lyu, Fuyuan, et autres
Publié: (2025)
par: Lyu, Fuyuan, et autres
Publié: (2025)
LoFT-LLM: Low-Frequency Time-Series Forecasting with Large Language Models
par: You, Jiacheng, et autres
Publié: (2025)
par: You, Jiacheng, et autres
Publié: (2025)
Revisiting the Seasonal Trend Decomposition for Enhanced Time Series Forecasting
par: Panta, Sanjeev, et autres
Publié: (2026)
par: Panta, Sanjeev, et autres
Publié: (2026)
FreSh: Frequency Shifting for Accelerated Neural Representation Learning
par: Kania, Adam, et autres
Publié: (2024)
par: Kania, Adam, et autres
Publié: (2024)
A Decomposition Modeling Framework for Seasonal Time-Series Forecasting
par: Pang, Yining, et autres
Publié: (2024)
par: Pang, Yining, et autres
Publié: (2024)
Deep Learning-Based Financial Time Series Forecasting via Sliding Window and Variational Mode Decomposition
par: Li, Luke
Publié: (2025)
par: Li, Luke
Publié: (2025)
FreqMoE: Enhancing Time Series Forecasting through Frequency Decomposition Mixture of Experts
par: Liu, Ziqi
Publié: (2025)
par: Liu, Ziqi
Publié: (2025)
TFKAN: Time-Frequency KAN for Long-Term Time Series Forecasting
par: Kui, Xiaoyan, et autres
Publié: (2025)
par: Kui, Xiaoyan, et autres
Publié: (2025)
HELIX: Hybrid Encoding with Learnable Identity and Cross-dimensional Synthesis for Time Series Imputation
par: Zhang, Fengming, et autres
Publié: (2026)
par: Zhang, Fengming, et autres
Publié: (2026)
Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting
par: Zhan, Tianxiang, et autres
Publié: (2024)
par: Zhan, Tianxiang, et autres
Publié: (2024)
Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting
par: Nguyen, Huu Hiep, et autres
Publié: (2026)
par: Nguyen, Huu Hiep, et autres
Publié: (2026)
Wavelet-based Disentangled Adaptive Normalization for Non-stationary Times Series Forecasting
par: Lin, Junpeng, et autres
Publié: (2025)
par: Lin, Junpeng, et autres
Publié: (2025)
FreAPNet: Learnable Amplitude–Phase Parameterization and Dual‐Path Frequency Learning for Multivariate Time Series Forecasting
par: Nannan Xu, et autres
Publié: (2026)
par: Nannan Xu, et autres
Publié: (2026)
Disentangled Parameter-Efficient Linear Model for Long-Term Time Series Forecasting
par: Zhao, Yuang, et autres
Publié: (2024)
par: Zhao, Yuang, et autres
Publié: (2024)
BioFormer: Rethinking Cross-Subject Generalization via Spectral Structural Alignment in Biomedical Time-Series
par: Du, Guikang, et autres
Publié: (2026)
par: Du, Guikang, et autres
Publié: (2026)
DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting
par: Liu, Zhiding, et autres
Publié: (2024)
par: Liu, Zhiding, et autres
Publié: (2024)
Frequency-Forcing: From Scaling-as-Time to Soft Frequency Guidance
par: Du, Weitao
Publié: (2026)
par: Du, Weitao
Publié: (2026)
Documents similaires
-
Fre-CW: Targeted Attack on Time Series Forecasting using Frequency Domain Loss
par: Feng, Naifu, et autres
Publié: (2025) -
FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting
par: Yue, Wenzhen, et autres
Publié: (2025) -
FreIE: Low-Frequency Spectral Bias in Neural Networks for Time-Series Tasks
par: Sun, Jialong, et autres
Publié: (2025) -
FreCT: Frequency-augmented Convolutional Transformer for Robust Time Series Anomaly Detection
par: Zhang, Wenxin, et autres
Publié: (2025) -
FreDF: Learning to Forecast in the Frequency Domain
par: Wang, Hao, et autres
Publié: (2024)