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Multivariate Time Series Forecasting

Papers

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Showing 51–100 of 245 papers

TitleStatusHype
MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual UnmixingCode0
Disentangled Interpretable Representation for Efficient Long-term Time Series ForecastingCode1
Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset—0
RAM: Replace Attention with MLP for Efficient Multivariate Time Series Forecasting—0
LSEAttention is All You Need for Time Series Forecasting—0
Generative forecasting of brain activity enhances Alzheimer's classification and interpretation—0
WaveRoRA: Wavelet Rotary Route Attention for Multivariate Time Series ForecastingCode1
DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting—0
FACTS: A Factored State-Space Framework For World ModellingCode1
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar MemoriesCode2
LTBoost: Boosted Hybrids of Ensemble Linear and Gradient Algorithms for the Long-term Time Series ForecastingCode1
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
TimeBridge: Non-Stationarity Matters for Long-term Time Series ForecastingCode2
BACKTIME: Backdoor Attacks on Multivariate Time Series ForecastingCode1
MMFNet: Multi-Scale Frequency Masking Neural Network for Multivariate Time Series ForecastingCode3
MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with 0.1K ParametersCode3
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
PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series ForecastingCode2
Scalable Transformer for High Dimensional Multivariate Time Series ForecastingCode1
FMamba: Mamba based on Fast-attention for Multivariate Time-series Forecasting—0
Revisiting Attention for Multivariate Time Series ForecastingCode1
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
SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series ForecastingCode1
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting—0
CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series ForecastingCode1
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
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality AlignmentCode2
ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks—0
MultiCast: Zero-Shot Multivariate Time Series Forecasting Using LLMs—0
Interpretable Multivariate Time Series Forecasting Using Neural Fourier TransformCode1
Bond Graphs for multi-physics informed Neural Networks for multi-variate time series—0
Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting—0
NFCL: Simply interpretable neural networks for a short-term multivariate forecasting—0
VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series ForecastingCode1
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable MissingCode2
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
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core FusionCode3
Some variation of COBRA in sequential learning setup—0
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting MethodsCode5
MCformer: Multivariate Time Series Forecasting with Mixed-Channels Transformer—0
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-TuningCode2
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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
2Sequential VAEMSE0.83—Unverified
3NeuralODE-VAE-MaskMSE0.83—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