SOTAVerified

Multivariate Time Series Forecasting

Papers

Showing 101–150 of 245 papers

TitleStatusHype
Prediction of the Position of External Markers Using a Recurrent Neural Network Trained With Unbiased Online Recurrent Optimization for Safe Lung Cancer RadiotherapyCode1
Spectral Temporal Graph Neural Network for Multivariate Time-series ForecastingCode1
Interpretable Multivariate Time Series Forecasting with Temporal Attention Convolutional Neural NetworksCode1
Informer: Beyond Efficient Transformer for Long Sequence Time-Series ForecastingCode1
Graph Neural Networks for Improved El Niño ForecastingCode1
Adversarial Sparse Transformer for Time Series ForecastingCode1
Adaptive Graph Convolutional Recurrent Network for Traffic ForecastingCode1
Low-Rank Autoregressive Tensor Completion for Multivariate Time Series ForecastingCode1
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural NetworksCode1
Multivariate Time Series Forecasting with Transfer Entropy GraphCode1
Latent ODEs for Irregularly-Sampled Time SeriesCode1
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time seriesCode1
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic ForecastingCode1
Modeling Long- and Short-Term Temporal Patterns with Deep Neural NetworksCode1
Recurrent Neural Networks for Multivariate Time Series with Missing ValuesCode1
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
Nearest Neighbor Multivariate Time Series Forecasting—0
SPAT: Sensitivity-based Multihead-attention Pruning on Time Series Forecasting Models—0
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering—0
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
Feature Optimization for Time Series Forecasting via Novel Randomized Uphill Climbing—0
Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting—0
Unlocking the Potential of Linear Networks for Irregular Multivariate Time Series Forecasting—0
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
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
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
Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time Series Forecasting Based on Biological ODEs—0
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
EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series PredictionsCode0
Higher Order Transformers: Efficient Attention Mechanism for Tensor Structured Data—0
MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual UnmixingCode0
Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset—0
LSEAttention is All You Need for Time Series Forecasting—0
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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