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
Drift-Adjusted And Arbitrated Ensemble Framework For Time Series Forecasting0
A CNN–LSTM model for gold price time-series forecasting0
Time Series Forecasting Using LSTM Networks: A Symbolic ApproachCode0
Progressive Growing of Neural ODEs0
How Much Can A Retailer Sell? Sales Forecasting on Tmall0
Block Hankel Tensor ARIMA for Multiple Short Time Series ForecastingCode0
A New Unified Deep Learning Approach with Decomposition-Reconstruction-Ensemble Framework for Time Series Forecasting0
Conditional Mutual information-based Contrastive Loss for Financial Time Series Forecasting0
Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing FlowsCode2
ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series ForecastingCode1
Meta-learning framework with applications to zero-shot time-series forecastingCode1
Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data0
Error-feedback stochastic modeling strategy for time series forecasting with convolutional neural networks0
A clustering approach to time series forecasting using neural networks: A comparative study on distance-based vs. feature-based clustering methodsCode0
Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence CaseCode1
For2For: Learning to forecast from forecasts0
Temporally Folded Convolutional Neural Networks for Sequence Forecasting0
Hydrological time series forecasting using simple combinations: Big data testing and investigations on one-year ahead river flow predictability0
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series ForecastingCode3
Towards Better Forecasting by Fusing Near and Distant Future VisionsCode0
Hidden Markov Model: Tutorial0
Warped Input Gaussian Processes for Time Series ForecastingCode0
Work-in-progress: a deep learning strategy for I/O scheduling in storage systemsCode0
On model selection for scalable time series forecasting in transport networks0
Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-20190
Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values0
Comparison of Deep learning models on time series forecasting : a case study of Dissolved Oxygen PredictionCode0
Performance evaluation of deep neural networks for forecasting time-series with multiple structural breaks and high volatilityCode0
DSANet: Dual Self-Attention Network for Multivariate Time Series ForecastingCode0
Textual Data for Time Series Forecasting0
You May Not Need Order in Time Series Forecasting0
Probabilistic sequential matrix factorizationCode0
DPSOM: Deep Probabilistic Clustering with Self-Organizing MapsCode0
Machine Learning vs Statistical Methods for Time Series Forecasting: Size MattersCode0
COMBINED FLEXIBLE ACTIVATION FUNCTIONS FOR DEEP NEURAL NETWORKS0
Core Network Management Procedures for Self-Organized and Sustainable 5G Cellular Networks0
Shape and Time Distortion Loss for Training Deep Time Series Forecasting ModelsCode1
AI Modelling and Time-series Forecasting Systems for Trading Energy Flexibility in Distribution Grids0
Ludwig: a type-based declarative deep learning toolboxCode3
Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning0
sktime: A Unified Interface for Machine Learning with Time Series0
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval PredictorsCode1
Real Time Trajectory Prediction Using Deep Conditional Generative ModelsCode0
Recovery of Future Data via Convolution Nuclear Norm MinimizationCode0
Port-Hamiltonian Approach to Neural Network TrainingCode0
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future DirectionsCode0
The Wiki Music dataset: A tool for computational analysis of popular music0
Feedback System Neural Networks for Inferring Causality in Directed Cyclic Graphs0
Time series model selection with a meta-learning approach; evidence from a pool of forecasting algorithms0
Quantile Convolutional Neural Networks for Value at Risk Forecasting0
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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