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Multivariate Time Series Forecasting

Papers

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Showing 101–150 of 245 papers

TitleStatusHype
CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous VariablesCode1
Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-Variable and Temporal Modeling—0
PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equationsCode0
Deep Coupling Network For Multivariate Time Series Forecasting—0
Structural Knowledge Informed Continual Multivariate Time Series Forecasting—0
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations ModelingCode2
Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through Next Curve Shape Prediction—0
Attention as Robust Representation for Time Series Forecasting—0
Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting—0
Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading IndicatorsCode2
Kernel-U-Net: Multivariate Time Series Forecasting using Custom Kernels—0
MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series ForecastingCode2
FCDNet: Frequency-Guided Complementary Dependency Modeling for Multivariate Time-Series ForecastingCode1
Spatiotemporal-Linear: Towards Universal Multivariate Time Series Forecasting—0
Sparse Transformer with Local and Seasonal Adaptation for Multivariate Time Series ForecastingCode0
CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting—0
Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting ApproachCode1
Hierarchical Joint Graph Learning and Multivariate Time Series Forecasting—0
TimeSQL: Improving Multivariate Time Series Forecasting with Multi-Scale Patching and Smooth Quadratic Loss—0
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph PerspectiveCode2
AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data—0
Pyramidal Hidden Markov Model For Multivariate Time Series Forecasting—0
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series ForecastingCode1
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity AnalysisCode3
Embedded Temporal Feature Selection for Time Series Forecasting Using Deep LearningCode0
Revealing the Power of Masked Autoencoders in Traffic ForecastingCode0
MemDA: Forecasting Urban Time Series with Memory-based Drift AdaptationCode1
Multi-scale Transformer Pyramid Networks for Multivariate Time Series ForecastingCode1
LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series ForecastersCode1
Multi-horizon short-term load forecasting using hybrid of LSTM and modified split convolutionCode1
PETformer: Long-term Time Series Forecasting via Placeholder-enhanced TransformerCode1
SageFormer: Series-Aware Framework for Long-term Multivariate Time Series ForecastingCode1
Improving the Transferability of Time Series Forecasting with Decomposition Adaptation—0
Learning Dynamic Graphs from All Contextual Information for Accurate Point-of-Interest Visit ForecastingCode0
PrimeNet: Pre-Training for Irregular Multivariate Time SeriesCode1
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series ForecastingCode2
GCformer: An Efficient Framework for Accurate and Scalable Long-Term Multivariate Time Series ForecastingCode0
Cross-LKTCN: Modern Convolution Utilizing Cross-Variable Dependency for Multivariate Time Series Forecasting Dependency for Multivariate Time Series Forecasting—0
A Joint Time-frequency Domain Transformer for Multivariate Time Series ForecastingCode1
Forecasting Irregularly Sampled Time Series using GraphsCode1
Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series ForecastingCode1
The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series ForecastingCode1
Indeterminate Probability TheoryCode0
LightCTS: A Lightweight Framework for Correlated Time Series ForecastingCode1
SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on Hierarchies—0
MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel MixingCode2
Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series ForecastingCode2
Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based PerspectiveCode0
StockEmotions: Discover Investor Emotions for Financial Sentiment Analysis and Multivariate Time SeriesCode1
Ti-MAE: Self-Supervised Masked Time Series AutoencodersCode1
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All datasetsUSHCN-DailyMuJoCoPhysioNet Challenge 2012ETTh1 (192) MultivariateETTh1 (96) MultivariateBPI challenge '12ETTh1 (336) MultivariateHelpdeskMIMIC-IIIAEPElectricityETTh1 (48) Multivariate

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1NeuralODE-VAEMSE0.96—Unverified
2NeuralODE-VAE-MaskMSE0.83—Unverified
3Sequential VAEMSE0.83—Unverified
4T-LSTMMSE0.59—Unverified
5BRITSMSE0.53—Unverified
6GRU-ODE-BayesMSE0.43—Unverified
7GraFITiMSE0.27—Unverified
8FLDMSE0.26—Unverified
#ModelMetricClaimedVerifiedStatus
1RNN ∆tMSE (10^-2, 50% missing)30.57—Unverified
2ODE-RNNMSE (10^-2, 50% missing)26.46—Unverified
3RNN GRU-DMSE (10^-2, 50% missing)5.83—Unverified
4RNN-VAEMSE (10^-2, 50% missing)1.78—Unverified
5Latent ODE (RNN enc.)MSE (10^-2, 50% missing)1.38—Unverified
6Latent ODE (ODE enc)MSE (10^-2, 50% missing)1.26—Unverified
#ModelMetricClaimedVerifiedStatus
1Latent ODE (RNN enc.)mse (10^-3)3.16—Unverified
2RNN-VAEmse (10^-3)3.06—Unverified
3Latent ODE (ODE enc)mse (10^-3)2.23—Unverified
4Latent ODE + Poissonmse (10^-3)2.21—Unverified
#ModelMetricClaimedVerifiedStatus
1TSMixerMAE0.42—Unverified
2PRformerMAE0.41—Unverified
3MMFNetMSE0.4—Unverified
#ModelMetricClaimedVerifiedStatus
1TSMixerMAE0.4—Unverified
2PRformerMAE0.38—Unverified
3MMFNetMSE0.36—Unverified
#ModelMetricClaimedVerifiedStatus
1QuerySelectorAccuracy0.79—Unverified
2LSTMAccuracy0.76—Unverified
#ModelMetricClaimedVerifiedStatus
1TSMixerMSE0.42—Unverified
2MMFNetMSE0.41—Unverified
#ModelMetricClaimedVerifiedStatus
1QuerySelectorAccuracy0.74—Unverified
2LSTMAccuracy0.71—Unverified
#ModelMetricClaimedVerifiedStatus
1T-LSTMNegLL1.02—Unverified
2GRU-ODE-BayesNegLL0.83—Unverified
#ModelMetricClaimedVerifiedStatus
1LSTM-SC12 steps MAPE2.58—Unverified
#ModelMetricClaimedVerifiedStatus
1GLinearMSE 0.09—Unverified
#ModelMetricClaimedVerifiedStatus
1GLinearMSE 0.31—Unverified
#ModelMetricClaimedVerifiedStatus
1MMFNetMSE0.38—Unverified
#ModelMetricClaimedVerifiedStatus
1UOROJitter0.97—Unverified
#ModelMetricClaimedVerifiedStatus
1GLinearMSE 0.32—Unverified
#ModelMetricClaimedVerifiedStatus
1GLinearMSE0.07—Unverified