Saved in:
| Main Authors: | Lin, Shengsheng, Lin, Weiwei, Hu, Xinyi, Wu, Wentai, Mo, Ruichao, Zhong, Haocheng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2409.18479 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters
by: Lin, Shengsheng, et al.
Published: (2024)
by: Lin, Shengsheng, et al.
Published: (2024)
Temporal Query Network for Efficient Multivariate Time Series Forecasting
by: Lin, Shengsheng, et al.
Published: (2025)
by: Lin, Shengsheng, et al.
Published: (2025)
CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation
by: Xu, Sihan, et al.
Published: (2023)
by: Xu, Sihan, et al.
Published: (2023)
PENGUIN: Enhancing Transformer with Periodic-Nested Group Attention for Long-term Time Series Forecasting
by: Sun, Tian, et al.
Published: (2025)
by: Sun, Tian, et al.
Published: (2025)
Targeted Vaccine: Safety Alignment for Large Language Models against Harmful Fine-Tuning via Layer-wise Perturbation
by: Liu, Guozhi, et al.
Published: (2024)
by: Liu, Guozhi, et al.
Published: (2024)
Seeing the Needle in the Haystack: Towards Weakly-Supervised Log Instance Anomaly Localization via Counterfactual Perturbation
by: Wong, Yutszyuk, et al.
Published: (2026)
by: Wong, Yutszyuk, et al.
Published: (2026)
EMAformer: Enhancing Transformer through Embedding Armor for Time Series Forecasting
by: Zhang, Zhiwei, et al.
Published: (2025)
by: Zhang, Zhiwei, et al.
Published: (2025)
DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting
by: Qiu, Xiangfei, et al.
Published: (2024)
by: Qiu, Xiangfei, et al.
Published: (2024)
IndexNet: Timestamp and Variable-Aware Modeling for Time Series Forecasting
by: Wu, Beiliang, et al.
Published: (2025)
by: Wu, Beiliang, et al.
Published: (2025)
PeriodNet: Boosting the Potential of Attention Mechanism for Time Series Forecasting
by: Zhao, Bowen, et al.
Published: (2025)
by: Zhao, Bowen, et al.
Published: (2025)
PPGF: Probability Pattern-Guided Time Series Forecasting
by: Sun, Yanru, et al.
Published: (2025)
by: Sun, Yanru, et al.
Published: (2025)
PHAT: Modeling Period Heterogeneity for Multivariate Time Series Forecasting
by: Ma, Jiaming, et al.
Published: (2026)
by: Ma, Jiaming, et al.
Published: (2026)
Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective
by: Wu, Xingjian, et al.
Published: (2025)
by: Wu, Xingjian, et al.
Published: (2025)
WinNet: Make Only One Convolutional Layer Effective for Time Series Forecasting
by: Ou, Wenjie, et al.
Published: (2023)
by: Ou, Wenjie, et al.
Published: (2023)
Perceive, Route and Modulate: Dynamic Pattern Recalibration for Time Series Forecasting
by: Zhong, Siru, et al.
Published: (2026)
by: Zhong, Siru, et al.
Published: (2026)
FLAME: Flow Enhanced Legendre Memory Models for General Time Series Forecasting
by: Wu, Xingjian, et al.
Published: (2025)
by: Wu, Xingjian, et al.
Published: (2025)
Non-stationary Diffusion For Probabilistic Time Series Forecasting
by: Ye, Weiwei, et al.
Published: (2025)
by: Ye, Weiwei, et al.
Published: (2025)
Progressive Neural Network for Multi-Horizon Time Series Forecasting
by: Lin, Yang
Published: (2023)
by: Lin, Yang
Published: (2023)
Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift
by: Sun, Yanru, et al.
Published: (2024)
by: Sun, Yanru, et al.
Published: (2024)
WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting
by: Liu, Peiyuan, et al.
Published: (2023)
by: Liu, Peiyuan, et al.
Published: (2023)
MGTS-Net: Exploring Graph-Enhanced Multimodal Fusion for Augmented Time Series Forecasting
by: Hao, Shule, et al.
Published: (2025)
by: Hao, Shule, et al.
Published: (2025)
MamNet: A Novel Hybrid Model for Time-Series Forecasting and Frequency Pattern Analysis in Network Traffic
by: Zhang, Yujun, et al.
Published: (2025)
by: Zhang, Yujun, et al.
Published: (2025)
Exact Federated Continual Unlearning for Ridge Heads on Frozen Foundation Models
by: Quan, Yijun, et al.
Published: (2026)
by: Quan, Yijun, et al.
Published: (2026)
Ethical and Scalable Automation: A Governance and Compliance Framework for Business Applications
by: Lin, Haocheng
Published: (2024)
by: Lin, Haocheng
Published: (2024)
Structured Noise Modeling for Enhanced Time-Series Forecasting
by: Koohfar, Sepideh
Published: (2025)
by: Koohfar, Sepideh
Published: (2025)
Frequency Adaptive Normalization For Non-stationary Time Series Forecasting
by: Ye, Weiwei, et al.
Published: (2024)
by: Ye, Weiwei, et al.
Published: (2024)
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
by: Wang, Shiyu, et al.
Published: (2024)
by: Wang, Shiyu, et al.
Published: (2024)
Generative Probabilistic Time Series Forecasting and Applications in Grid Operations
by: Wang, Xinyi, et al.
Published: (2024)
by: Wang, Xinyi, et al.
Published: (2024)
VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting
by: Kang, Junhyeok, et al.
Published: (2025)
by: Kang, Junhyeok, et al.
Published: (2025)
Logo-LLM: Local and Global Modeling with Large Language Models for Time Series Forecasting
by: Ou, Wenjie, et al.
Published: (2025)
by: Ou, Wenjie, et al.
Published: (2025)
Bridging Time and Frequency: A Joint Modeling Framework for Irregular Multivariate Time Series Forecasting
by: Qiu, Xiangfei, et al.
Published: (2026)
by: Qiu, Xiangfei, et al.
Published: (2026)
Don't Learn the Shape: Forecasting Periodic Time Series by Rank-1 Decomposition
by: Honda, Takato
Published: (2026)
by: Honda, Takato
Published: (2026)
Evaluating Time Series Foundation Models on Noisy Periodic Time Series
by: Gupta, Syamantak Datta
Published: (2025)
by: Gupta, Syamantak Datta
Published: (2025)
DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting
by: Liu, Zhiding, et al.
Published: (2024)
by: Liu, Zhiding, et al.
Published: (2024)
FreqCycle: A Multi-Scale Time-Frequency Analysis Method for Time Series Forecasting
by: Zhang, Boya, et al.
Published: (2026)
by: Zhang, Boya, et al.
Published: (2026)
MMFNet: Multi-Scale Frequency Masking Neural Network for Multivariate Time Series Forecasting
by: Ma, Aitian, et al.
Published: (2024)
by: Ma, Aitian, et al.
Published: (2024)
SynTSBench: Rethinking Temporal Pattern Learning in Deep Learning Models for Time Series
by: Tan, Qitai, et al.
Published: (2025)
by: Tan, Qitai, et al.
Published: (2025)
Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models
by: Wang, Hao, et al.
Published: (2025)
by: Wang, Hao, et al.
Published: (2025)
AI Foundation Model for Time Series with Innovations Representation
by: Tong, Lang, et al.
Published: (2025)
by: Tong, Lang, et al.
Published: (2025)
Periodic Graph-Enhanced Multivariate Time Series Anomaly Detector
by: Li, Jia, et al.
Published: (2025)
by: Li, Jia, et al.
Published: (2025)
Similar Items
-
SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters
by: Lin, Shengsheng, et al.
Published: (2024) -
Temporal Query Network for Efficient Multivariate Time Series Forecasting
by: Lin, Shengsheng, et al.
Published: (2025) -
CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation
by: Xu, Sihan, et al.
Published: (2023) -
PENGUIN: Enhancing Transformer with Periodic-Nested Group Attention for Long-term Time Series Forecasting
by: Sun, Tian, et al.
Published: (2025) -
Targeted Vaccine: Safety Alignment for Large Language Models against Harmful Fine-Tuning via Layer-wise Perturbation
by: Liu, Guozhi, et al.
Published: (2024)