SOTAVerified

Time Series Forecasting

Time Series Forecasting is the task of fitting a model to historical, time-stamped data in order to predict future values. Traditional approaches include moving average, exponential smoothing, and ARIMA, though models as various as RNNs, Transformers, or XGBoost can also be applied. The most popular benchmark is the ETTh1 dataset. Models are typically evaluated using the Mean Square Error (MSE) or Root Mean Square Error (RMSE).

( Image credit: ThaiBinh Nguyen )

Papers

Showing 14511500 of 1609 papers

TitleStatusHype
Combined Dynamic Virtual Spatiotemporal Graph Mapping for Traffic PredictionCode0
Efficient Certified Training and Robustness Verification of Neural ODEsCode0
Effective Benchmarks for Optical Turbulence ModelingCode0
AMLNet: Adversarial Mutual Learning Neural Network for Non-AutoRegressive Multi-Horizon Time Series ForecastingCode0
EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series PredictionsCode0
MFRS: A Multi-Frequency Reference Series Approach to Scalable and Accurate Time-Series ForecastingCode0
Meta-learning and Data Augmentation for Stress Testing Forecasting ModelsCode0
Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal DynamicsCode0
Attention-Based Ensemble Pooling for Time Series ForecastingCode0
MARLP: Time-series Forecasting Control for Agricultural Managed Aquifer RechargeCode0
MAGMA: Inference and Prediction with Multi-Task Gaussian ProcessesCode0
Machine Learning vs Statistical Methods for Time Series Forecasting: Size MattersCode0
Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series ForecastingCode0
EasyMLServe: Easy Deployment of REST Machine Learning ServicesCode0
Revealing the Power of Masked Autoencoders in Traffic ForecastingCode0
LMS-AutoTSF: Learnable Multi-Scale Decomposition and Integrated Autocorrelation for Time Series ForecastingCode0
A Memory-Network Based Solution for Multivariate Time-Series ForecastingCode0
Early Prediction of Causes (not Effects) in Healthcare by Long-Term Clinical Time Series ForecastingCode0
LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling lawCode0
Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large ModelsCode0
Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive ForecastingCode0
Leveraging External Factors in Household-Level Electrical Consumption Forecasting using HypernetworksCode0
Transformer Multivariate Forecasting: Less is More?Code0
Dynamic Long-Term Time-Series Forecasting via Meta Transformer NetworksCode0
Less is more: Embracing sparsity and interpolation with Esiformer for time series forecastingCode0
Robust Multi-Modal Forecasting: Integrating Static and Dynamic FeaturesCode0
Transformers predicting the future. Applying attention in next-frame and time series forecastingCode0
Robustness and Generalization Performance of Deep Learning Models on Cyber-Physical Systems: A Comparative StudyCode0
DynaConF: Dynamic Forecasting of Non-Stationary Time SeriesCode0
Balanced Graph Structure Learning for Multivariate Time Series ForecastingCode0
Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series ForecastingCode0
DSSRNN: Decomposition-Enhanced State-Space Recurrent Neural Network for Time-Series AnalysisCode0
Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based PerspectiveCode0
Learning Dynamic Graphs from All Contextual Information for Accurate Point-of-Interest Visit ForecastingCode0
DSANet: Dual Self-Attention Network for Multivariate Time Series ForecastingCode0
Rule-based Evolving Fuzzy System for Time Series Forecasting: New Perspectives Based on Type-2 Fuzzy Sets Measures ApproachCode0
Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating SparsityCode0
DroughtSet: Understanding Drought Through Spatial-Temporal LearningCode0
S^3Attention: Improving Long Sequence Attention with Smoothed Skeleton SketchingCode0
Lag Selection for Univariate Time Series Forecasting using Deep Learning: An Empirical StudyCode0
Koopman Ensembles for Probabilistic Time Series ForecastingCode0
Sparse Transformer with Local and Seasonal Adaptation for Multivariate Time Series ForecastingCode0
DIT4BEARs Smart Roads InternshipCode0
Yformer: U-Net Inspired Transformer Architecture for Far Horizon Time Series ForecastingCode0
Joint Graph Learning and Model Fitting in Laplacian Regularized Stratified ModelsCode0
Introducing Spectral Attention for Long-Range Dependency in Time Series ForecastingCode0
Integrating Quantum-Classical Attention in Patch Transformers for Enhanced Time Series ForecastingCode0
Indeterminate Probability TheoryCode0
Variational Mode Decomposition and Linear Embeddings are What You Need For Time-Series ForecastingCode0
Improving Neural Networks for Time Series Forecasting using Data Augmentation and AutoMLCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InformerMSE0.88Unverified
2QuerySelectorMSE0.85Unverified
3TransformerMSE0.83Unverified
4AarenMSE0.65Unverified
5RPMixerMSE0.52Unverified
6MOIRAILargeMSE0.51Unverified
7ATFNetMSE0.51Unverified
8AutoformerMSE0.51Unverified
9SCINetMSE0.5Unverified
10S-MambaMSE0.49Unverified
#ModelMetricClaimedVerifiedStatus
1QuerySelectorMSE1.12Unverified
2TransformerMSE1.11Unverified
3InformerMSE0.94Unverified
4GLinearMSE0.59Unverified
5SCINetMSE0.54Unverified
6MoLE-DLinearMSE0.51Unverified
7PRformerMSE0.49Unverified
8TEFNMSE0.48Unverified
9DLinearMSE0.47Unverified
10FiLMMSE0.47Unverified
#ModelMetricClaimedVerifiedStatus
1TransformerMSE2.66Unverified
2QuerySelectorMSE2.32Unverified
3InformerMSE1.67Unverified
4DLinearMSE0.45Unverified
5TEFNMSE0.42Unverified
6MoLE-DLinearMSE0.42Unverified
7FiLMMSE0.38Unverified
8MoLE-RLinearMSE0.37Unverified
9SCINetMSE0.37Unverified
10PRformerMSE0.36Unverified
#ModelMetricClaimedVerifiedStatus
1TransformerMSE3.18Unverified
2QuerySelectorMSE3.07Unverified
3InformerMSE2.34Unverified
4MoLE-DLinearMSE0.61Unverified
5DLinearMSE0.61Unverified
6SCINetMSE0.48Unverified
7FiLMMSE0.44Unverified
8TEFNMSE0.43Unverified
9TiDEMSE0.42Unverified
10MoLE-RLinearMSE0.41Unverified
#ModelMetricClaimedVerifiedStatus
1MoLE-DLinearMSE0.45Unverified
2TEFNMSE0.43Unverified
3FiLMMSE0.41Unverified
4PatchTST/64MSE0.41Unverified
5TiDEMSE0.41Unverified
6NLinearMSE0.41Unverified
7DiPE-LinearMSE0.41Unverified
8DLinearMSE0.41Unverified
9RLinearMSE0.4Unverified
10MoLE-RLinearMSE0.4Unverified
#ModelMetricClaimedVerifiedStatus
1DLinearMSE0.38Unverified
2TEFNMSE0.38Unverified
3MoLE-DLinearMSE0.36Unverified
4FiLMMSE0.36Unverified
5NLinearMSE0.34Unverified
6PatchTST/64MSE0.34Unverified
7MoLE-RLinearMSE0.34Unverified
8LTBoost (drop_last=false)MSE0.33Unverified
9PRformerMSE0.33Unverified
10TiDEMSE0.33Unverified
#ModelMetricClaimedVerifiedStatus
1DLinearMSE0.29Unverified
2TEFNMSE0.29Unverified
3MoLE-DLinearMSE0.29Unverified
4FiLMMSE0.28Unverified
5NLinearMSE0.28Unverified
6TSMixerMSE0.28Unverified
7DiPE-LinearMSE0.28Unverified
8PatchTST/64MSE0.27Unverified
9MoLE-RLinearMSE0.27Unverified
10TiDEMSE0.27Unverified
#ModelMetricClaimedVerifiedStatus
1TEFNMSE0.38Unverified
2MoLE-DLinearMSE0.38Unverified
3MoLE-RLinearMSE0.38Unverified
4TiDEMSE0.38Unverified
5FiLMMSE0.37Unverified
6PatchTST/64MSE0.37Unverified
7DiPE-LinearMSE0.37Unverified
8TSMixerMSE0.37Unverified
9RLinearMSE0.37Unverified
10TTMMSE0.36Unverified
#ModelMetricClaimedVerifiedStatus
1TEFNMSE0.23Unverified
2DLinearMSE0.22Unverified