:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liang, Shuang, Hou, Chaochuan, Yao, Xu, Wang, Shiping, Jiang, Minqi, Han, Songqiao, Huang, Hailiang
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2509.17063
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beyond Holistic Models: Systematic Component-level Benchmarking of Deep Multivariate Time-Series Forecasting
by: Liang, Shuang, et al.
Published: (2026)

Rethinking Weak Supervision in Anomaly Detection: A Comprehensive Benchmark
by: Yao, Xu, et al.
Published: (2026)

StockMem: An Event-Reflection Memory Framework for Stock Forecasting
by: Wang, He, et al.
Published: (2025)

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

SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
by: Han, Lu, et al.
Published: (2024)

DGCformer: Deep Graph Clustering Transformer for Multivariate Time Series Forecasting
by: Liu, Qinshuo, et al.
Published: (2024)

Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting
by: Zhou, Ziyu, et al.
Published: (2025)

PHAT: Modeling Period Heterogeneity for Multivariate Time Series Forecasting
by: Ma, Jiaming, et al.
Published: (2026)

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

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

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

Channel-wise Retrieval for Multivariate Time Series Forecasting
by: Kang, Junhyeok, et al.
Published: (2026)

Pyramidal Hidden Markov Model For Multivariate Time Series Forecasting
by: Huang, YeXin
Published: (2023)

Probabilistic Multivariate Time Series Forecasting with Diffusion Copulas
by: Huk, David, et al.
Published: (2026)

Structural Knowledge Informed Continual Multivariate Time Series Forecasting
by: Pan, Zijie, et al.
Published: (2024)

MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting
by: Cai, Wanlin, et al.
Published: (2023)

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

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

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

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

MCformer: Multivariate Time Series Forecasting with Mixed-Channels Transformer
by: Han, Wenyong, et al.
Published: (2024)

ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks
by: Cai, Wanlin, et al.
Published: (2024)

Multivariate Long-term Time Series Forecasting with Fourier Neural Filter
by: Xu, Chenheng, et al.
Published: (2025)

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

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

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

HPMixer: Hierarchical Patching for Multivariate Time Series Forecasting
by: Choi, Jung Min, et al.
Published: (2026)

Probabilistic Circuits for Irregular Multivariate Time Series Forecasting
by: Klötergens, Christian, et al.
Published: (2026)

Multivariate Probabilistic Time Series Forecasting with Correlated Errors
by: Zheng, Vincent Zhihao, et al.
Published: (2024)

Time Series Foundation Models for Multivariate Financial Time Series Forecasting
by: Marconi, Ben A.
Published: (2025)

WaveRoRA: Wavelet Rotary Route Attention for Multivariate Time Series Forecasting
by: Liang, Aobo, et al.
Published: (2024)

Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis
by: Shao, Zezhi, et al.
Published: (2023)

FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting
by: Wang, Yulong, et al.
Published: (2025)

Kernel-U-Net: Multivariate Time Series Forecasting using Custom Kernels
by: You, Jiang, et al.
Published: (2024)

SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting
by: Jiang, Yue, et al.
Published: (2024)

Selective Learning for Deep Time Series Forecasting
by: Fu, Yisong, et al.
Published: (2025)

Unlocking the Potential of Linear Networks for Irregular Multivariate Time Series Forecasting
by: Wang, Chengsen, et al.
Published: (2025)

Deep Learning for Multivariate Time Series Imputation: A Survey
by: Wang, Jun, et al.
Published: (2024)

Temporal Query Network for Efficient Multivariate Time Series Forecasting
by: Lin, Shengsheng, et al.
Published: (2025)

MICA: Multivariate Infini Compressive Attention for Time Series Forecasting
by: Potosnak, Willa, et al.
Published: (2026)