Multivariate Time Series Forecasting

17개 벤치마크 · 논문 327편 · 이 태스크의 논문 보기 →

Benchmarks

Most implemented

Neural Ordinary Differential Equations

2018-06-19 · 구현 56개

Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks

2017-03-21 · 구현 21개

Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

2017-07-06 · 구현 19개

DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks

2017-04-13 · 구현 19개

Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

2020-12-14 · 구현 14개

Latent ODEs for Irregularly-Sampled Time Series

2019-07-08 · 구현 11개

Papers

Fuzzy-MoE: Interpretable Regime-Conditioned Expert Routing for Non-Stationary Multivariate Time Series Forecasting

2026-08-21 · Lan Guo, Jie Xiao, Zhao Su, Jun Shen 외 arxiv

In non-stationary multivariate time series, different variables and samples often exhibit heterogeneous latent dynamic states, while existing deep forecasting models usually compress them into a unified end-to-end mappin…

Multivariate Time Series Forecasting

CLaST: Context-aware Contrastive VAE for Probabilistic Time Series Forecasting

2026-08-20 · Alexander Marusov, Dmitry Anikin, Petr Sokerin, Vitaliy Pozdnyakov 외 arxiv

Probabilistic forecasting models are widely used for time series forecasting in domains such as energy systems, finance, medicine, and transportation. In recent years, deep generative models have shown strong results on …

Probabilistic Time Series Forecasting Multivariate Time Series Forecasting

Rethinking Patch Based Multivariate Time Series Forecasting with Semantic Structured Partitioning

2026-08-20 · Jiazhe Wang, Zhiquan Huang, Linjing Xue, Ming Liu 외 arxiv

Multivariate time series forecasting (MTSF) is a fundamental task in many real world applications. Existing patch based forecasting methods generally fall into three categories: fixed partitioning, multi-scale partitioni…

Multivariate Time Series Forecasting

AsyTO: Asymmetric Temporal Operator for Parameter-Efficient Multivariate Time Series Forecasting

2026-08-17 · Xiachong Lin, Du Yin, Hao Xue, Wen Hu 외 arxiv

Multivariate time-series forecasting faces a structural dilemma: sharing one temporal predictor across variables is parameter-efficient but forces heterogeneous variables through an identical history-to-future map, where…

Multivariate Time Series Forecasting