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Multivariate Time Series Forecasting

Papers

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Showing 101–150 of 245 papers

TitleStatusHype
Spatio-Temporal Meta-Graph Learning for Traffic ForecastingCode1
Spatio-Temporal Wind Speed Forecasting using Graph Networks and Novel Transformer ArchitecturesCode1
Spectral Temporal Graph Neural Network for Multivariate Time-series ForecastingCode1
SpectraNet: Multivariate Forecasting and Imputation under Distribution Shifts and Missing DataCode1
StockEmotions: Discover Investor Emotions for Financial Sentiment Analysis and Multivariate Time SeriesCode1
Temporal Convolutional Attention Neural Networks for Time Series ForecastingCode1
The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series ForecastingCode1
Ti-MAE: Self-Supervised Masked Time Series AutoencodersCode1
TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series AnalysisCode1
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic DataCode1
TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and ImputationCode1
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series ForecastingCode1
VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series ForecastingCode1
VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series ForecastingCode1
WaveRoRA: Wavelet Rotary Route Attention for Multivariate Time Series ForecastingCode1
Higher Order Transformers: Efficient Attention Mechanism for Tensor Structured Data—0
MCformer: Multivariate Time Series Forecasting with Mixed-Channels Transformer—0
Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting—0
DLFormer: Enhancing Explainability in Multivariate Time Series Forecasting using Distributed Lag Embedding—0
Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-Variable and Temporal Modeling—0
Evaluation of Local Explanation Methods for Multivariate Time Series Forecasting—0
DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting—0
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Version—0
SEED: A Structural Encoder for Embedding-Driven Decoding in Time Series Prediction with LLMs—0
Feature Optimization for Time Series Forecasting via Novel Randomized Uphill Climbing—0
FMamba: Mamba based on Fast-attention for Multivariate Time-series Forecasting—0
ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks—0
Sentinel: Multi-Patch Transformer with Temporal and Channel Attention for Time Series Forecasting—0
DGCformer: Deep Graph Clustering Transformer for Multivariate Time Series Forecasting—0
Series Saliency: Temporal Interpretation for Multivariate Time Series Forecasting—0
Generative forecasting of brain activity enhances Alzheimer's classification and interpretation—0
Deep Learning for Epidemiological Predictions—0
SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on Hierarchies—0
Some variation of COBRA in sequential learning setup—0
Hierarchical Joint Graph Learning and Multivariate Time Series Forecasting—0
High-dimensional Multivariate Time Series Forecasting in IoT Applications using Embedding Non-stationary Fuzzy Time Series—0
Masked Multi-Step Multivariate Time Series Forecasting with Future Information—0
HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting—0
Improving the Transferability of Time Series Forecasting with Decomposition Adaptation—0
IMTS-Mixer: Mixer-Networks for Irregular Multivariate Time Series Forecasting—0
Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting—0
Spatiotemporal-Linear: Towards Universal Multivariate Time Series Forecasting—0
A Deep-Unfolding Approach to RIS Phase Shift Optimization Via Transformer-Based Channel Prediction—0
Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset—0
Ister: Inverted Seasonal-Trend Decomposition Transformer for Explainable Multivariate Time Series Forecasting—0
Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values—0
Kernel-U-Net: Multivariate Time Series Forecasting using Custom Kernels—0
LAVARNET: Neural Network Modeling of Causal Variable Relationships for Multivariate Time Series Forecasting—0
SPAT: Sensitivity-based Multihead-attention Pruning on Time Series Forecasting Models—0
TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting—0
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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