Cover Image

Online Irregular Multivariate Time Series Forecasting via Uncertainty-Driven Dual-Expert Calibration

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wen, Haonan, Chen, Hanyang, Feng, Songhe
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Latent Laplace Diffusion for Irregular Multivariate Time Series
by: You, Zinuo, et al.
Published: (2026)

Probabilistic Learning of Multivariate Time Series with Temporal Irregularity
by: Li, Yijun, et al.
Published: (2023)

Time-IMM: A Dataset and Benchmark for Irregular Multimodal Multivariate Time Series
by: Chang, Ching, et al.
Published: (2025)

Unsupervised Distance Metric Learning for Anomaly Detection Over Multivariate Time Series
by: Yuan, Hanyang, et al.
Published: (2024)

DPANet: Dual Pyramid Attention Network for Multivariate Time Series Forecasting
by: Li, Qianyang, et al.
Published: (2025)

An Adversarial Learning Approach to Irregular Time-Series Forecasting
by: Nam, Heejeong, et al.
Published: (2024)

Dual-Prototype Disentanglement: A Context-Aware Enhancement Framework for Time Series Forecasting
by: Yang, Haonan, et al.
Published: (2026)

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

Continuous-Time Linear Positional Embedding for Irregular Time Series Forecasting
by: Kim, Byunghyun, et al.
Published: (2024)

Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift
by: Chen, Mouxiang, et al.
Published: (2023)

A Statistical Approach for Modeling Irregular Multivariate Time Series with Missing Observations
by: Nie, Dingyi, et al.
Published: (2026)

HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting
by: Feng, Shibo, et al.
Published: (2025)

MoDEx: Mixture of Depth-specific Experts for Multivariate Long-term Time Series Forecasting
by: Yoon, Hyekyung, et al.
Published: (2026)

DDT: A Dual-Masking Dual-Expert Transformer for Energy Time-Series Forecasting
by: Zhu, Mingnan, et al.
Published: (2026)

Revisiting Attention for Multivariate Time Series Forecasting
by: Wu, Haixiang
Published: (2024)

Are KANs Effective for Multivariate Time Series Forecasting?
by: Han, Xiao, et al.
Published: (2024)

Nearest Neighbor Multivariate Time Series Forecasting
by: Zhang, Huiliang, et al.
Published: (2025)

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

One-Step Graph-Structured Neural Flows for Irregular Multivariate Time Series Classification
by: Gao, Mengzhou, et al.
Published: (2026)

DualWeaver: Synergistic Feature Weaving Surrogates for Multivariate Forecasting with Univariate Time Series Foundation Models
by: Li, Jinpeng, et al.
Published: (2026)

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering
by: Niu, Yiming, et al.
Published: (2025)

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

Let Experts Feel Uncertainty: A Multi-Expert Label Distribution Approach to Probabilistic Time Series Forecasting
by: Zhou, Zhen, et al.
Published: (2026)

HTMformer: Hybrid Time and Multivariate Transformer for Time Series Forecasting
by: Wang, Tan, et al.
Published: (2025)

Spatio-temporal Multivariate Time Series Forecast with Chosen Variables
by: Liu, Zibo, et al.
Published: (2025)

AltTS: A Dual-Path Framework with Alternating Optimization for Multivariate Time Series Forecasting
by: Yuan, Zhihang, et al.
Published: (2026)

DSAT-HD: Dual-Stream Adaptive Transformer with Hybrid Decomposition for Multivariate Time Series Forecasting
by: Wang, Zixu, et al.
Published: (2025)

Revisiting Multivariate Time Series Forecasting with Missing Values
by: Yang, Jie, et al.
Published: (2025)

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

SEDformer: Event-Synchronous Spiking Transformers for Irregular Telemetry Time Series Forecasting
by: Zhou, Ziyu, et al.
Published: (2026)

Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting
by: Wang, Muyao, et al.
Published: (2024)

Semantically-Guided Inference for Conditional Diffusion Models: Enhancing Covariate Consistency in Time Series Forecasting
by: Ding, Rui, et al.
Published: (2025)

TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data
by: Taga, Ege Onur, et al.
Published: (2025)

Investigating a Model-Agnostic and Imputation-Free Approach for Irregularly-Sampled Multivariate Time-Series Modeling
by: Neog, Abhilash, et al.
Published: (2025)

Enhancing Multivariate Time Series Forecasting with Global Temporal Retrieval
by: Cao, Fanpu, et al.
Published: (2026)

Winner-takes-all for Multivariate Probabilistic Time Series Forecasting
by: Cortés, Adrien, et al.
Published: (2025)

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

CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables
by: Lu, Jiecheng, et al.
Published: (2024)

Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection
by: Huang, Xiaoyu, et al.
Published: (2024)

SEED: Spectral Entropy-Guided Evaluation of SpatialTemporal Dependencies for Multivariate Time Series Forecasting
by: Xiong, Feng, et al.
Published: (2025)