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 401450 of 1609 papers

TitleStatusHype
Deep Autoregressive Models with Spectral AttentionCode1
Automated Evolutionary Approach for the Design of Composite Machine Learning PipelinesCode1
TS2Vec: Towards Universal Representation of Time SeriesCode1
ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative ModelsCode1
SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionCode1
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic ForecastingCode1
Deep Switching State Space Model (DS^3M) for Nonlinear Time Series Forecasting with Regime SwitchingCode1
Prediction of the Position of External Markers Using a Recurrent Neural Network Trained With Unbiased Online Recurrent Optimization for Safe Lung Cancer RadiotherapyCode1
Monash Time Series Forecasting ArchiveCode1
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series ForecastingCode1
Using Twitter Attribute Information to Predict Stock PricesCode1
EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction taskCode1
Deep Time Series Forecasting with Shape and Temporal CriteriaCode1
An Experimental Review on Deep Learning Architectures for Time Series ForecastingCode1
Spectral Temporal Graph Neural Network for Multivariate Time-series ForecastingCode1
Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time SeriesCode1
Domain Adaptation for Time Series Forecasting via Attention SharingCode1
NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series ForecastingCode1
Adjusting for Autocorrelated Errors in Neural Networks for Time SeriesCode1
Discrete Graph Structure Learning for Forecasting Multiple Time SeriesCode1
Do We Really Need Deep Learning Models for Time Series Forecasting?Code1
Interpretable Multivariate Time Series Forecasting with Temporal Attention Convolutional Neural NetworksCode1
Ensembles of Localised Models for Time Series ForecastingCode1
Informer: Beyond Efficient Transformer for Long Sequence Time-Series ForecastingCode1
Graph Neural Networks for Improved El Niño ForecastingCode1
Adversarial Sparse Transformer for Time Series ForecastingCode1
Probabilistic Time Series Forecasting with Shape and Temporal DiversityCode1
An Accurate and Fully-Automated Ensemble Model for Weekly Time Series ForecastingCode1
VEST: Automatic Feature Engineering for ForecastingCode1
Probabilistic Time Series Forecasting with Structured Shape and Temporal DiversityCode1
Time series forecasting with Gaussian Processes needs priorsCode1
Deep Switching Auto-Regressive Factorization:Application to Time Series ForecastingCode1
Attention based Multi-Modal New Product Sales Time-series ForecastingCode1
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic ForecastingCode1
Superiority of Simplicity: A Lightweight Model for Network Device Workload PredictionCode1
Adaptive Graph Convolutional Recurrent Network for Traffic ForecastingCode1
Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approachCode1
Time Series Extrinsic RegressionCode1
Monash University, UEA, UCR Time Series Extrinsic Regression ArchiveCode1
Low-Rank Autoregressive Tensor Completion for Multivariate Time Series ForecastingCode1
Inductive Graph Neural Networks for Spatiotemporal KrigingCode1
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural NetworksCode1
DEFM: Delay E mbedding based Forecast Machine for Time Series Forecasting by Spatiotemporal Information TransformationCode1
AtsPy: Automated Time Series Forecasting in PythonCode1
Multivariate Time Series Forecasting with Transfer Entropy GraphCode1
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
Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence CaseCode1
Shape and Time Distortion Loss for Training Deep Time Series Forecasting ModelsCode1
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval PredictorsCode1
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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