SOTAVerified

Multivariate Time Series Forecasting

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 of 245 papers

TitleStatusHype
SEED: A Structural Encoder for Embedding-Driven Decoding in Time Series Prediction with LLMs—0
A Review of the Long Horizon Forecasting Problem in Time Series AnalysisCode0
Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependency, Asynchrony, and Missingness—0
Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries—0
HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting—0
CAIFormer: A Causal Informed Transformer for Multivariate Time Series Forecasting—0
This Time is Different: An Observability Perspective on Time Series Foundation ModelsCode3
Temporal Query Network for Efficient Multivariate Time Series ForecastingCode2
Nearest Neighbor Multivariate Time Series Forecasting—0
SPAT: Sensitivity-based Multihead-attention Pruning on Time Series Forecasting Models—0
OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed DomainCode3
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering—0
FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series ForecastingCode1
STRGCN: Capturing Asynchronous Spatio-Temporal Dependencies for Irregular Multivariate Time Series Forecasting—0
SCFormer: Structured Channel-wise Transformer with Cumulative Historical State for Multivariate Time Series ForecastingCode0
Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge DistillationCode2
Feature Optimization for Time Series Forecasting via Novel Randomized Uphill Climbing—0
Unlocking the Potential of Linear Networks for Irregular Multivariate Time Series Forecasting—0
Gateformer: Advancing Multivariate Time Series Forecasting through Temporal and Variate-Wise Attention with Gated RepresentationsCode1
Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting—0
TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and ImputationCode1
MMformer with Adaptive Transferable Attention: Advancing Multivariate Time Series Forecasting for Environmental Applications—0
Probabilistic QoS Metric Forecasting in Delay-Tolerant Networks Using Conditional Diffusion Models on Latent Dynamics—0
Integrating Quantum-Classical Attention in Patch Transformers for Enhanced Time Series ForecastingCode0
Sentinel: Multi-Patch Transformer with Temporal and Channel Attention for Time Series Forecasting—0
MFRS: A Multi-Frequency Reference Series Approach to Scalable and Accurate Time-Series ForecastingCode0
ZAPBench: A Benchmark for Whole-Brain Activity Prediction in ZebrafishCode2
PFformer: A Position-Free Transformer Variant for Extreme-Adaptive Multivariate Time Series Forecasting—0
A Deep-Unfolding Approach to RIS Phase Shift Optimization Via Transformer-Based Channel Prediction—0
ReFocus: Reinforcing Mid-Frequency and Key-Frequency Modeling for Multivariate Time Series ForecastingCode1
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic DataCode1
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning—0
IMTS-Mixer: Mixer-Networks for Irregular Multivariate Time Series Forecasting—0
A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy PerspectiveCode1
AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series ForecastingCode1
HDT: Hierarchical Discrete Transformer for Multivariate Time Series ForecastingCode1
Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time Series Forecasting Based on Biological ODEs—0
VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series ForecastingCode1
FreEformer: Frequency Enhanced Transformer for Multivariate Time Series ForecastingCode1
STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via—0
Using Pre-trained LLMs for Multivariate Time Series Forecasting—0
AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks—0
DCIts -- Deep Convolutional Interpreter for time seriesCode0
Sensorformer: Cross-patch attention with global-patch compression is effective for high-dimensional multivariate time series forecastingCode0
Ister: Inverted Seasonal-Trend Decomposition Transformer for Explainable Multivariate Time Series Forecasting—0
xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend DecompositionCode2
TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series AnalysisCode1
EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series PredictionsCode0
DUET: Dual Clustering Enhanced Multivariate Time Series ForecastingCode5
Higher Order Transformers: Efficient Attention Mechanism for Tensor Structured Data—0
Show:102550
← PrevPage 1 of 5Next →
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