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 751800 of 1609 papers

TitleStatusHype
Effective Benchmarks for Optical Turbulence ModelingCode0
The Rise of Diffusion Models in Time-Series ForecastingCode3
U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series ForecastingCode1
Kernel-U-Net: Multivariate Time Series Forecasting using Custom Kernels0
Explainable Adaptive Tree-based Model Selection for Time Series Forecasting0
UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio Video Point Cloud Time-Series and Image RecognitionCode5
MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series ForecastingCode2
Financial Time-Series Forecasting: Towards Synergizing Performance And Interpretability Within a Hybrid Machine Learning Approach0
Transformer Multivariate Forecasting: Less is More?Code0
Embedded feature selection in LSTM networks with multi-objective evolutionary ensemble learning for time series forecastingCode1
TSPP: A Unified Benchmarking Tool for Time-series ForecastingCode0
Learning to Embed Time Series Patches IndependentlyCode1
Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting0
Attention-Enhanced Reservoir ComputingCode0
FCDNet: Frequency-Guided Complementary Dependency Modeling for Multivariate Time-Series ForecastingCode1
Anticipating dengue outbreaks using a novel hybrid ARIMA-ARNN model with exogenous variablesCode0
Deep Non-Parametric Time Series Forecaster0
Spatiotemporal-Linear: Towards Universal Multivariate Time Series Forecasting0
Fine-grained Forecasting Models Via Gaussian Process Blurring EffectCode0
AutoXPCR: Automated Multi-Objective Model Selection for Time Series ForecastingCode0
Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series ForecastingCode1
auto-sktime: Automated Time Series ForecastingCode1
Sparse Transformer with Local and Seasonal Adaptation for Multivariate Time Series ForecastingCode0
TPRNN: A Top-Down Pyramidal Recurrent Neural Network for Time Series Forecasting0
Mixture-of-Linear-Experts for Long-term Time Series ForecastingCode1
CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting0
CLeaRForecast: Contrastive Learning of High-Purity Representations for Time Series Forecasting0
Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting TransformerCode1
Enhancing Financial Data Visualization for Investment Decision-Making0
TimeDRL: Disentangled Representation Learning for Multivariate Time-SeriesCode1
Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting ApproachCode1
Enhancing Algorithm Performance Understanding through tsMorph: Generating Semi-Synthetic Time Series for Robust Forecasting EvaluationCode0
MultiResFormer: Transformer with Adaptive Multi-Resolution Modeling for General Time Series Forecasting0
TimelyGPT: Extrapolatable Transformer Pre-training for Long-term Time-Series Forecasting in Healthcare0
FocusLearn: Fully-Interpretable, High-Performance Modular Neural Networks for Time SeriesCode0
UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image RecognitionCode3
Satellite-based feature extraction and multivariate time-series prediction of biotoxin contamination in shellfish0
Understanding the Role of Textual Prompts in LLM for Time Series Forecasting: an Adapter ViewCode1
Hierarchical Joint Graph Learning and Multivariate Time Series Forecasting0
TimeSQL: Improving Multivariate Time Series Forecasting with Multi-Scale Patching and Smooth Quadratic Loss0
Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting0
Application Research of Spline Interpolation and ARIMA in the Field of Stock Market Forecasting0
A Hypothesis on Good Practices for AI-based Systems for Financial Time Series Forecasting: Towards Domain-Driven XAI Methods0
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph PerspectiveCode2
Frequency-domain MLPs are More Effective Learners in Time Series ForecastingCode2
Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations0
Multi-resolution Time-Series Transformer for Long-term ForecastingCode1
An adaptive standardisation methodology for Day-Ahead electricity price forecastingCode0
ForecastPFN: Synthetically-Trained Zero-Shot ForecastingCode1
Deep Double Descent for Time Series Forecasting: Avoiding Undertrained Models0
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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