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 451500 of 1609 papers

TitleStatusHype
Ensemble Conformalized Quantile Regression for Probabilistic Time Series ForecastingCode1
LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series ForecastersCode1
Scaling Law for Time Series ForecastingCode1
Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting TransformerCode1
TimeTuner: Diagnosing Time Representations for Time-Series Forecasting with Counterfactual ExplanationsCode1
Q-fid: Quantum Circuit Fidelity Improvement with LSTM NetworksCode0
Quantum Time-Series Learning with Evolutionary AlgorithmsCode0
A novel rule-based evolving Fuzzy System applied to the thermal modeling of power transformersCode0
QuaCK-TSF: Quantum-Classical Kernelized Time Series ForecastingCode0
QBSD: Quartile-Based Seasonality Decomposition for Cost-Effective RAN KPI ForecastingCode0
AALF: Almost Always Linear ForecastingCode0
A Novel Hyperdimensional Computing Framework for Online Time Series Forecasting on the EdgeCode0
ProGen: Revisiting Probabilistic Spatial-Temporal Time Series Forecasting from a Continuous Generative Perspective Using Stochastic Differential EquationsCode0
Progressive Neural Network for Multi-Horizon Time Series ForecastingCode0
QuLTSF: Long-Term Time Series Forecasting with Quantum Machine LearningCode0
Probabilistic sequential matrix factorizationCode0
Probabilistic Forecasting of Sensory Data with Generative Adversarial Networks - ForGANCode0
Probing the Robustness of Time-series Forecasting Models with CounterfacTSCode0
Bundle Networks: Fiber Bundles, Local Trivializations, and a Generative Approach to Exploring Many-to-one MapsCode0
Predictive Auto-scaling with OpenStack MonascaCode0
Traffic signal prediction on transportation networks using spatio-temporal correlations on graphsCode0
Prediction of the motion of chest internal points using a recurrent neural network trained with real-time recurrent learning for latency compensation in lung cancer radiotherapyCode0
Predicting the Number of Reported Bugs in a Software RepositoryCode0
Port-Hamiltonian Approach to Neural Network TrainingCode0
Budget-constrained Collaborative Renewable Energy Forecasting MarketCode0
Powerformer: A Transformer with Weighted Causal Attention for Time-series ForecastingCode0
PHILNet: A Novel Efficient Approach for Time Series Forecasting using Deep LearningCode0
PMM-Net: Single-stage Multi-agent Trajectory Prediction with Patching-based Embedding and Explicit Modal ModulationCode0
Bridging Simplicity and Sophistication using GLinear: A Novel Architecture for Enhanced Time Series PredictionCode0
Performance evaluation of deep neural networks for forecasting time-series with multiple structural breaks and high volatilityCode0
Performative Time-Series ForecastingCode0
Probabilistic AutoRegressive Neural Networks for Accurate Long-range ForecastingCode0
Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution LearningCode0
Embedded Temporal Feature Selection for Time Series Forecasting Using Deep LearningCode0
Breaking the Context Bottleneck on Long Time Series ForecastingCode0
Probabilistic Traffic Forecasting with Dynamic RegressionCode0
PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equationsCode0
Predicting Future Mosquito Larval Habitats Using Time Series Climate Forecasting and Deep LearningCode0
On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman FiltersCode0
On projection methods for functional time series forecastingCode0
Optimal activity and battery scheduling algorithm using load and solar generation forecastCode0
Efficient Certified Training and Robustness Verification of Neural ODEsCode0
Enhancing Transformer-based models for Long Sequence Time Series Forecasting via Structured MatrixCode0
Boosting MLPs with a Coarsening Strategy for Long-Term Time Series ForecastingCode0
Optimal starting point for time series forecastingCode0
Effective Benchmarks for Optical Turbulence ModelingCode0
EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series PredictionsCode0
Enhancing reliability in prediction intervals using point forecasters: Heteroscedastic Quantile Regression and Width-Adaptive Conformal InferenceCode0
A new Takagi–Sugeno–Kang model for time series forecastingCode0
EasyMLServe: Easy Deployment of REST Machine Learning ServicesCode0
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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
4DLinearMSE0.61Unverified
5MoLE-DLinearMSE0.61Unverified
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
8TiDEMSE0.33Unverified
9LTBoost (drop_last=false)MSE0.33Unverified
10PRformerMSE0.33Unverified
#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
3TiDEMSE0.38Unverified
4MoLE-RLinearMSE0.38Unverified
5FiLMMSE0.37Unverified
6PatchTST/64MSE0.37Unverified
7DiPE-LinearMSE0.37Unverified
8TSMixerMSE0.37Unverified
9RLinearMSE0.37Unverified
10TTMMSE0.36Unverified
#ModelMetricClaimedVerifiedStatus
1TEFNMSE0.23Unverified
2DLinearMSE0.22Unverified