Image de couverture de livre

FlexTSF: A Flexible Forecasting Model for Time Series with Variable Regularities

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Xiao, Jingge, Chen, Yile, Cong, Gao, Nejdl, Wolfgang, Gottschalk, Simon
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
par: Xiao, Jingge, et autres
Publié: (2023)

EventTSF: Event-Aware Non-Stationary Time Series Forecasting
par: Ge, Yunfeng, et autres
Publié: (2025)

QuaCK-TSF: Quantum-Classical Kernelized Time Series Forecasting
par: Aaraba, Abdallah, et autres
Publié: (2024)

CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting
par: Ding, Jianrong, et autres
Publié: (2024)

IdealTSF: Can Non-Ideal Data Contribute to Enhancing the Performance of Time Series Forecasting Models?
par: Wang, Hua, et autres
Publié: (2025)

MedAI: Evaluating TxAgent's Therapeutic Agentic Reasoning in the NeurIPS CURE-Bench Competition
par: Cofala, Tim, et autres
Publié: (2025)

LMS-AutoTSF: Learnable Multi-Scale Decomposition and Integrated Autocorrelation for Time Series Forecasting
par: Delibasoglu, Ibrahim, et autres
Publié: (2024)

PESD-TSF: A Period-Aware and Explicit Structured Decomposition Framework for Long-Term Time Series Forecasting
par: Wang, Hua, et autres
Publié: (2026)

Spatio-temporal Multivariate Time Series Forecast with Chosen Variables
par: Liu, Zibo, et autres
Publié: (2025)

On the Regularization of Learnable Embeddings for Time Series Forecasting
par: Butera, Luca, et autres
Publié: (2024)

Characteristic Root Analysis and Regularization for Linear Time Series Forecasting
par: Wang, Zheng, et autres
Publié: (2025)

IndexNet: Timestamp and Variable-Aware Modeling for Time Series Forecasting
par: Wu, Beiliang, et autres
Publié: (2025)

CVTN: Cross Variable and Temporal Integration for Time Series Forecasting
par: Zhou, Han, et autres
Publié: (2024)

Enhancing Time Series Forecasting via Logic-Inspired Regularization
par: Zhang, Jianqi, et autres
Publié: (2025)

TimeCNN: Refining Cross-Variable Interaction on Time Point for Time Series Forecasting
par: Hu, Ao, et autres
Publié: (2024)

TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
par: Wang, Yuxuan, et autres
Publié: (2024)

CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables
par: Lu, Jiecheng, et autres
Publié: (2024)

Auto-Regressive Moving Diffusion Models for Time Series Forecasting
par: Gao, Jiaxin, et autres
Publié: (2024)

FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning
par: Liu, Sizhe, et autres
Publié: (2024)

TSKANMixer: Kolmogorov-Arnold Networks with MLP-Mixer Model for Time Series Forecasting
par: Hong, Young-Chae, et autres
Publié: (2025)

The Rise of Diffusion Models in Time-Series Forecasting
par: Meijer, Caspar, et autres
Publié: (2024)

VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting
par: Yang, Yingnan, et autres
Publié: (2024)

Self-Supervised Representation Learning for Geospatial Objects: A Survey
par: Chen, Yile, et autres
Publié: (2024)

Diffusion Models for Time Series Forecasting: A Survey
par: Su, Chen, et autres
Publié: (2025)

GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing
par: Yu, Chengqing, et autres
Publié: (2024)

FPN-fusion: Enhanced Linear Complexity Time Series Forecasting Model
par: Li, Chu, et autres
Publié: (2024)

A Mamba Foundation Model for Time Series Forecasting
par: Ma, Haoyu, et autres
Publié: (2024)

Deconfounded Time Series Forecasting: A Causal Inference Approach
par: Gao, Wentao, et autres
Publié: (2024)

Test Time Learning for Time Series Forecasting
par: Christou, Panayiotis, et autres
Publié: (2024)

Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts
par: Yun, Sukwon, et autres
Publié: (2024)

Disentangled Parameter-Efficient Linear Model for Long-Term Time Series Forecasting
par: Zhao, Yuang, et autres
Publié: (2024)

FlexLLM: Composable HLS Library for Flexible Hybrid LLM Accelerator Design
par: Zhang, Jiahao, et autres
Publié: (2026)

GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables
par: Li, Zhengyu, et autres
Publié: (2026)

ISMRNN: An Implicitly Segmented RNN Method with Mamba for Long-Term Time Series Forecasting
par: Zhao, GaoXiang, et autres
Publié: (2024)

Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics
par: Chen, Yile, et autres
Publié: (2024)

Bus-Conditioned Zero-Shot Trajectory Generation via Task Arithmetic
par: Liu, Shuai, et autres
Publié: (2026)

From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations
par: Hao, Xinli, et autres
Publié: (2024)

Distilling Time Series Foundation Models for Efficient Forecasting
par: Li, Yuqi, et autres
Publié: (2026)

Are KANs Effective for Multivariate Time Series Forecasting?
par: Han, Xiao, et autres
Publié: (2024)

Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models
par: Wang, Hao, et autres
Publié: (2025)