Multivariate Time Series Forecasting

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46 papers in the last four weeks, up 39% on the four weeks before. 0.3% of all new papers.

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Channel-wise Retrieval for Multivariate Time Series Forecasting
Apr 7, 2026Junhyeok Kang, Jun Seo, Soyeon Park +4Multivariate Time Series Forecasting Time Series Forecasting
LG AI Research, Republic of Korea
Deep Learning Network-Temporal Models For Traffic Prediction
Mar 12, 2026Yufeng Xin, Ethan FanMultivariate Time Series Forecasting LLM-Based Time Series Forecasting
RENCI, University of North Carolina at Chapel Hill Chapel Hill, NC, USA
UniMamba: A Unified Spatial-Temporal Modeling Framework with State-Space and Attention Integration
Mar 6, 2026Xingsheng Chen, Xianpei Mu, Deyu Yi +6Multivariate Time Series Forecasting Long-Term Time Series Forecasting
School of Computing and Data Science, The University of Hong Kong, Hong Kong, China · School of Information Engineering, Beijing Institute of Graphic Communication, Beijing, China · Innovation Engineering College, Macau University of Science and Technology, Macau, China +1
Learning with the Nash-Sutcliffe loss
Mar 1, 2026Hristos Tyralis, Georgia PapacharalampousMultivariate Time Series Forecasting Time Series Forecasting
1Support Command, Hellenic Air Force, Elefsina Air Base, 19 200, Elefsina, Greece · Department of Land, Environment, Agriculture and Forestry, University of Padova, Viale dell'Università 16, 35020, Legnaro, Italy
Probabilistic NDVI Forecasting from Sparse Satellite Time Series and Weather Covariates
Feb 4, 2026Irene Iele, Giulia Romoli, Daniele Molino +4Irregular Time-Series Modeling Multivariate Time Series Forecasting
Unit of Artificial Intelligence and Computer Systems, Universit`a Campus Bio-Medico di Roma, Italy · Department of Diagnostics and Intervention, Biomedical Engineering and Radiation Physics, Ume˚a University, Sweden · Department of Naval, Electrical, Electronics and Telecommunications Engineering, University of Genoa, Italy
Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting
Feb 2, 2026Huu Hiep Nguyen, Minh Hoang Nguyen, Dung Nguyen +1Multivariate Time Series Forecasting Time Series Forecasting
Applied Artificial Intelligence Initiative Deakin University Geelong, Australia
EMFusion: Uncertainty-Aware Conditional Diffusion Model for Multivariate Narrow-band Exposure Forecasting
Dec 17, 2025Zijiang Yan, Yixiang Huang, Jianhua Pei +2Multivariate Time Series Forecasting Conditional Diffusion Models
department of Electrical Engineering and Computer Science, York University, Toronto, Canada · School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, China · China Southern Grid Electric Power Dispatch Control Center, Guangzhou, China +3
Weighted Contrastive Learning for Anomaly-Aware Time-Series Forecasting
Dec 8, 2025Joel Ekstrand, Tor Mattsson, Zahra Taghiyarrenani +3Multivariate Time Series Forecasting Contrastive Learning
Center for Applied Intelligent Systems Research, Halmstad University, Halmstad, Sweden · Mikael Linden Consulting AB, Stockholm, Sweden
Temporal Variational Implicit Neural Representations
Jun 2, 2025Batuhan Koyuncu, Rachael DeVries, Ole Winther +1Irregular Time-Series Modeling Multivariate Time Series Forecasting
Department of Computer Science, Saarland University · Department of Biology, University of Copenhagen · Novo Nordisk A/S +1
Human Supervisor Workload Prediction: Lag Horizon Selection
May 21, 2025Mark-Robin Giolando, Julie A. AdamsMultivariate Time Series Forecasting Long-Term Time Series Forecasting
Collaborative Robotics and Intelligent Systems Institute at Oregon State University, Corvallis, OR, USA
ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Cross-Modal Alignment Dataset
May 15, 2025Chengsen Wang, Qi Qi, Zhongwen Rao +2Cross-Modal Learning Multivariate Time Series Forecasting
Beijing University of Posts and Telecommunications · Huawei Noah’s Ark Lab
Learning Intrinsic Water-Quality Dynamics with Rainfall for Data-Driven Forecasting
Date pendingZiqi Wang, Hailiang Zhao, Cheng Bao +3Multivariate Time Series Forecasting Time Series Forecasting
Zhejiang University
Multi-Modal Time Series Prediction via Mixture of Modulated Experts
Date pendingLige Zhang, Ali Maatouk, Jialin Chen +3Multivariate Time Series Forecasting Time Series Forecasting
Emory University · Yale University · Amazon

Apr 7, 2026, cs.LGJ/K move · Enter open · S save

Channel-wise Retrieval for Multivariate Time Series Forecasting

Junhyeok Kang, Jun Seo, Soyeon Park, Sangjun Han+3

LG AI Research, Republic of Korea

Multivariate Time Series Forecasting Time Series Forecasting Temporal IR Retrieval-Augmented Time Series Forecasting

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Multivariate time series forecasting often struggles to capture long-range dependencies due to fixed lookback windows. Retrieval-augmented forecasting addresses this by retrieving historical segments from memory, but existing approaches rely on a channel-agnostic strategy that applies the same references to all variables. This neglects inter-variable heterogeneity, where different channels exhibit distinct periodicities and spectral profiles. We propose CRAFT (Channel-wise retrieval-augmented forecasting), a novel framework that performs retrieval independently for each channel. To ensure efficiency, CRAFT adopts a two-stage pipeline: a sparse relation graph constructed in the time domain prunes irrelevant candidates, and spectral similarity in the frequency domain ranks references, emphasizing dominant periodic components while suppressing noise. Experiments on seven public benchmarks demonstrate that CRAFT outperforms state-of-the-art forecasting baselines, achieving superior accuracy with practical inference efficiency.

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