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 501550 of 1609 papers

TitleStatusHype
EasyMLServe: Easy Deployment of REST Machine Learning ServicesCode0
Early Prediction of Causes (not Effects) in Healthcare by Long-Term Clinical Time Series ForecastingCode0
Probabilistic sequential matrix factorizationCode0
Sequence to Sequence Learning with Neural NetworksCode0
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
Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization ApproachCode0
Traffic signal prediction on transportation networks using spatio-temporal correlations on graphsCode0
Block Hankel Tensor ARIMA for Multiple Short Time Series ForecastingCode0
Dynamic Long-Term Time-Series Forecasting via Meta Transformer NetworksCode0
Predicting the Number of Reported Bugs in a Software RepositoryCode0
Predictive Auto-scaling with OpenStack MonascaCode0
Predicting Future Mosquito Larval Habitats Using Time Series Climate Forecasting and Deep LearningCode0
A New Deep Learning Architecture withInductive Bias Balance for Transformer Oil Temperature ForecastingCode0
Predicting Outcomes in Video Games with Long Short Term Memory NetworksCode0
DynaConF: Dynamic Forecasting of Non-Stationary Time SeriesCode0
PMM-Net: Single-stage Multi-agent Trajectory Prediction with Patching-based Embedding and Explicit Modal ModulationCode0
Port-Hamiltonian Approach to Neural Network TrainingCode0
PHILNet: A Novel Efficient Approach for Time Series Forecasting using Deep LearningCode0
Powerformer: A Transformer with Weighted Causal Attention for Time-series ForecastingCode0
Performance evaluation of deep neural networks for forecasting time-series with multiple structural breaks and high volatilityCode0
Performative Time-Series ForecastingCode0
DSSRNN: Decomposition-Enhanced State-Space Recurrent Neural Network for Time-Series AnalysisCode0
DSANet: Dual Self-Attention Network for Multivariate Time Series ForecastingCode0
DroughtSet: Understanding Drought Through Spatial-Temporal LearningCode0
Sparse Transformer with Local and Seasonal Adaptation for Multivariate Time Series ForecastingCode0
An Evaluation of Standard Statistical Models and LLMs on Time Series ForecastingCode0
Optimal starting point for time series forecastingCode0
Optimizing Time Series Forecasting: A Comparative Study of Adam and Nesterov Accelerated Gradient on LSTM and GRU networks Using Stock Market dataCode0
Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution LearningCode0
Better Batch for Deep Probabilistic Time Series ForecastingCode0
On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman FiltersCode0
On projection methods for functional time series forecastingCode0
DIT4BEARs Smart Roads InternshipCode0
Distillation Enhanced Time Series Forecasting Network with Momentum Contrastive LearningCode0
Not All Frequencies Are Created Equal:Towards a Dynamic Fusion of Frequencies in Time-Series ForecastingCode0
Optimal activity and battery scheduling algorithm using load and solar generation forecastCode0
PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equationsCode0
Non-collective Calibrating Strategy for Time Series ForecastingCode0
Classification with 2-D Convolutional Neural Networks for breast cancer diagnosisCode0
Dilated Convolutional Neural Networks for Time Series ForecastingCode0
Differentially Private Multivariate Time Series Forecasting of Aggregated Human Mobility With Deep Learning: Input or Gradient Perturbation?Code0
AverageTime: Enhance Long-Term Time Series Forecasting with Simple AveragingCode0
AutoXPCR: Automated Multi-Objective Model Selection for Time Series ForecastingCode0
Analyzing Deep Transformer Models for Time Series Forecasting via Manifold LearningCode0
Multimodal Physical Activity Forecasting in Free-Living Clinical Settings: Hunting Opportunities for Just-in-Time InterventionsCode0
Multiple model estimation under perspective of random-fuzzy dual interpretation of unknown uncertaintyCode0
Multiple-Resolution Tokenization for Time Series Forecasting with an Application to PricingCode0
MOrdReD: Memory-based Ordinal Regression Deep Neural Networks for Time Series ForecastingCode0
Global Neural Networks and The Data Scaling Effect in Financial Time Series ForecastingCode0
DeepTSF: Codeless machine learning operations for time series forecastingCode0
Show:102550
← PrevPage 11 of 33Next →

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