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Multivariate Time Series Forecasting

Papers

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Showing 151–200 of 245 papers

TitleStatusHype
Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures—0
Deep Coupling Network For Multivariate Time Series Forecasting—0
UmambaTSF: A U-shaped Multi-Scale Long-Term Time Series Forecasting Method Using Mamba—0
Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries—0
STRGCN: Capturing Asynchronous Spatio-Temporal Dependencies for Irregular Multivariate Time Series Forecasting—0
LSEAttention is All You Need for Time Series Forecasting—0
Structural Knowledge Informed Continual Multivariate Time Series Forecasting—0
STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via—0
CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting—0
MMformer with Adaptive Transferable Attention: Advancing Multivariate Time Series Forecasting for Environmental Applications—0
MTHetGNN: A Heterogeneous Graph Embedding Framework for Multivariate Time Series Forecasting—0
RAM: Replace Attention with MLP for Efficient Multivariate Time Series Forecasting—0
Modeling Variable Space with Residual Tensor Networks for Multivariate Time Series—0
CVTN: Cross Variable and Temporal Integration for Time Series Forecasting—0
MTSMAE: Masked Autoencoders for Multivariate Time-Series Forecasting—0
cs-net: structural approach to time-series forecasting for high-dimensional feature space data with limited observations—0
MultiCast: Zero-Shot Multivariate Time Series Forecasting Using LLMs—0
TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting—0
Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting—0
Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting—0
Cross-LKTCN: Modern Convolution Utilizing Cross-Variable Dependency for Multivariate Time Series Forecasting Dependency for Multivariate Time Series Forecasting—0
UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting—0
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting—0
Multivariate Time Series Forecasting with Latent Graph Inference—0
Nearest Neighbor Multivariate Time Series Forecasting—0
A Pattern Discovery Approach to Multivariate Time Series Forecasting—0
CAIFormer: A Causal Informed Transformer for Multivariate Time Series Forecasting—0
NFCL: Simply interpretable neural networks for a short-term multivariate forecasting—0
Analysing Multi-Task Regression via Random Matrix Theory with Application to 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
Parallel Extraction of Long-term Trends and Short-term Fluctuation Framework for Multivariate Time Series Forecasting—0
Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting—0
PECAIQR: A Model for Infectious Disease Applied to the Covid-19 Epidemic—0
Unlocking the Potential of Linear Networks for Irregular Multivariate Time Series Forecasting—0
PFformer: A Position-Free Transformer Variant for Extreme-Adaptive Multivariate Time Series Forecasting—0
Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time Series Forecasting Based on Biological ODEs—0
Bond Graphs for multi-physics informed Neural Networks for multi-variate time series—0
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning—0
Using Pre-trained LLMs for Multivariate Time Series Forecasting—0
AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data—0
Probabilistic QoS Metric Forecasting in Delay-Tolerant Networks Using Conditional Diffusion Models on Latent Dynamics—0
Pyramidal Hidden Markov Model For Multivariate Time Series Forecasting—0
R2N2: Residual Recurrent Neural Networks for Multivariate Time Series Forecasting—0
Recurrent Interpolants for Probabilistic Time Series Prediction—0
A K-variate Time Series Is Worth K Words: Evolution of the Vanilla Transformer Architecture for Long-term Multivariate Time Series Forecasting—0
AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks—0
A Graph Neural Networks based Framework for Topology-Aware Proactive SLA Management in a Latency Critical NFV Application Use-case—0
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering—0
Attention Mechanism for Multivariate Time Series Recurrent Model Interpretability Applied to the Ironmaking Industry—0
TimeSQL: Improving Multivariate Time Series Forecasting with Multi-Scale Patching and Smooth Quadratic Loss—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
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