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Multivariate Time Series Forecasting

Papers

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Showing 151–200 of 245 papers

TitleStatusHype
RAM: Replace Attention with MLP for Efficient Multivariate Time Series Forecasting—0
DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting—0
Generative forecasting of brain activity enhances Alzheimer's classification and interpretation—0
UmambaTSF: A U-shaped Multi-Scale Long-Term Time Series Forecasting Method Using Mamba—0
Less is more: Embracing sparsity and interpolation with Esiformer for time series forecastingCode0
TiVaT: A Transformer with a Single Unified Mechanism for Capturing Asynchronous Dependencies in Multivariate Time Series Forecasting—0
Recurrent Interpolants for Probabilistic Time Series Prediction—0
VE: Modeling Multivariate Time Series Correlation with Variate EmbeddingCode0
DLFormer: Enhancing Explainability in Multivariate Time Series Forecasting using Distributed Lag Embedding—0
Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting for Smart and Connected Infrastructures—0
FMamba: Mamba based on Fast-attention for Multivariate Time-series Forecasting—0
Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift—0
SiamTST: A Novel Representation Learning Framework for Enhanced Multivariate Time Series Forecasting applied to Telco NetworksCode0
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting—0
UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting—0
TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting—0
ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks—0
MultiCast: Zero-Shot Multivariate Time Series Forecasting Using LLMs—0
Bond Graphs for multi-physics informed Neural Networks for multi-variate time series—0
NFCL: Simply interpretable neural networks for a short-term multivariate forecasting—0
Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting—0
DGCformer: Deep Graph Clustering Transformer for Multivariate Time Series Forecasting—0
Functional Latent Dynamics for Irregularly Sampled Time Series ForecastingCode0
CVTN: Cross Variable and Temporal Integration for Time Series Forecasting—0
Some variation of COBRA in sequential learning setup—0
MCformer: Multivariate Time Series Forecasting with Mixed-Channels Transformer—0
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
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
Kernel-U-Net: Multivariate Time Series Forecasting using Custom Kernels—0
Spatiotemporal-Linear: Towards Universal Multivariate Time Series Forecasting—0
CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting—0
Sparse Transformer with Local and Seasonal Adaptation for Multivariate Time Series ForecastingCode0
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
AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data—0
Pyramidal Hidden Markov Model For Multivariate Time Series Forecasting—0
Embedded Temporal Feature Selection for Time Series Forecasting Using Deep LearningCode0
Revealing the Power of Masked Autoencoders in Traffic ForecastingCode0
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
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
Indeterminate Probability TheoryCode0
SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on Hierarchies—0
Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based PerspectiveCode0
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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