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Multivariate Time Series Forecasting
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting
Scalable Transformer for High Dimensional Multivariate Time Series Forecasting
FMamba: Mamba based on Fast-attention for Multivariate Time-series Forecasting
Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift
Revisiting Attention for Multivariate Time Series Forecasting
SiamTST: A Novel Representation Learning Framework for Enhanced Multivariate Time Series Forecasting applied to Telco Networks
SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting
CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting
UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting
TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment
ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks
MultiCast: Zero-Shot Multivariate Time Series Forecasting Using LLMs
NFCL: Simply interpretable neural networks for a short-term multivariate forecasting
Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting
Bond Graphs for multi-physics informed Neural Networks for multi-variate time series
Interpretable Multivariate Time Series Forecasting Using Neural Fourier Transform
VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing
DGCformer: Deep Graph Clustering Transformer for Multivariate Time Series Forecasting
Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting
CVTN: Cross Variable and Temporal Integration for Time Series Forecasting
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
Some variation of COBRA in sequential learning setup
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
MCformer: Multivariate Time Series Forecasting with Mixed-Channels Transformer
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables
Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-Variable and Temporal Modeling
PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations
Deep Coupling Network For Multivariate Time Series Forecasting
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling
Structural Knowledge Informed Continual Multivariate Time Series Forecasting
Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through Next Curve Shape Prediction
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