:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Yingwei, Bu, Ke, Zhuang, Zhuoran, Xie, Tao, Yu, Yao, Li, Dong, Guo, Yang, Lv, Detao
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2505.13896
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CC-Time: Cross-Model and Cross-Modality Time Series Forecasting
by: Chen, Peng, et al.
Published: (2025)

Context-Aware Probabilistic Modeling with LLM for Multimodal Time Series Forecasting
by: Yao, Yueyang, et al.
Published: (2025)

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

Conditionally Whitened Generative Models for Probabilistic Time Series Forecasting
by: Yang, Yanfeng, et al.
Published: (2025)

Unify and Anchor: A Context-Aware Transformer for Cross-Domain Time Series Forecasting
by: Hong, Xiaobin, et al.
Published: (2025)

CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
by: Liu, Peiyuan, et al.
Published: (2024)

S2TX: Cross-Attention Multi-Scale State-Space Transformer for Time Series Forecasting
by: Wu, Zihao, et al.
Published: (2025)

Fully Automated Correlated Time Series Forecasting in Minutes
by: Wu, Xinle, et al.
Published: (2024)

PPGF: Probability Pattern-Guided Time Series Forecasting
by: Sun, Yanru, et al.
Published: (2025)

Wavelet Mixture of Experts for Time Series Forecasting
by: Zhou, Zheng, et al.
Published: (2025)

LightGTS-Cov: Covariate-Enhanced Time Series Forecasting
by: Shang, Yong, et al.
Published: (2026)

DoFlow: Flow-based Generative Models for Interventional and Counterfactual Forecasting on Time Series
by: Wu, Dongze, et al.
Published: (2025)

FAiT: Frequency-Aware Inverted Transformer for Multivariate Time Series Forecasting
by: He, Peng, et al.
Published: (2026)

EasyTime: Time Series Forecasting Made Easy
by: Qiu, Xiangfei, et al.
Published: (2024)

Position: Beyond Model-Centric Prediction -- Agentic Time Series Forecasting
by: Cheng, Mingyue, et al.
Published: (2026)

CRAFT: Forgetting-Aware Intervention-Based Adaptation for Continual Learning
by: Hossen, Md Anwar, et al.
Published: (2026)

Reasoning-Aware Training for Time Series Forecasting
by: Ahamed, Md Atik, et al.
Published: (2026)

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

From Observations to States: Latent Time Series Forecasting
by: Yang, Jie, et al.
Published: (2026)

Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting
by: Liang, Aobo, et al.
Published: (2024)

Frequency-Aware Attention-LSTM for PM$_{2.5}$ Time Series Forecasting
by: Lu, Jiahui, et al.
Published: (2025)

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism
by: Xiong, Yuqi, et al.
Published: (2025)

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

Deconfounded Time Series Forecasting: A Causal Inference Approach
by: Gao, Wentao, et al.
Published: (2024)

TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
by: Wang, Yuxuan, et al.
Published: (2024)

TSNN: A Non-parametric and Interpretable Framework for Traffic Time Series Forecasting
by: Liu, Bowen, et al.
Published: (2026)

Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting
by: Chen, Peng, et al.
Published: (2024)

Channel-Aware Low-Rank Adaptation in Time Series Forecasting
by: Nie, Tong, et al.
Published: (2024)

SimDiff: Simpler Yet Better Diffusion Model for Time Series Point Forecasting
by: Ding, Hang, et al.
Published: (2025)

Is Mamba Effective for Time Series Forecasting?
by: Wang, Zihan, et al.
Published: (2024)

MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning
by: Tao, Xiaoyu, et al.
Published: (2026)

Gaussian Process Latent Variable Modeling for Few-shot Time Series Forecasting
by: Cheng, Yunyao, et al.
Published: (2022)

Aurora: Towards Universal Generative Multimodal Time Series Forecasting
by: Wu, Xingjian, et al.
Published: (2025)

Stationarity Exploration for Multivariate Time Series Forecasting
by: Liu, Hao, et al.
Published: (2025)

CRAFT: Aligning Diffusion Models with Fine-Tuning Is Easier Than You Think
by: Sun, Zening, et al.
Published: (2026)

Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling
by: Zhao, Sinong, et al.
Published: (2024)

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

CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling
by: Li, Beibu, et al.
Published: (2025)

UAKNN: Label Distribution Learning via Uncertainty-Aware KNN
by: Wang, Pu, et al.
Published: (2025)

HELIX: Hybrid Encoding with Learnable Identity and Cross-dimensional Synthesis for Time Series Imputation
by: Zhang, Fengming, et al.
Published: (2026)