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 10011050 of 1609 papers

TitleStatusHype
Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape0
MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel MixingCode2
Taming Local Effects in Graph-based Spatiotemporal ForecastingCode1
Surrogate uncertainty estimation for your time series forecasting black-box: learn when to trust0
Cross-Frequency Time Series Meta-Forecasting0
Multivariate Time Series Anomaly Detection via Dynamic Graph Forecasting0
Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series ForecastingCode2
FV-MgNet: Fully Connected V-cycle MgNet for Interpretable Time Series Forecasting0
Time Series Forecasting via Semi-Asymmetric Convolutional Architecture with Global Atrous Sliding Window0
Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based PerspectiveCode0
Targeted Attacks on Timeseries Forecasting0
Recursive deep learning framework for forecasting the decadal world economic outlookCode0
Multi-view Kernel PCA for Time series Forecasting0
StockEmotions: Discover Investor Emotions for Financial Sentiment Analysis and Multivariate Time SeriesCode1
Ti-MAE: Self-Supervised Masked Time Series AutoencodersCode1
Regular Time-series Generation using SGM0
Probabilistic Traffic Forecasting with Dynamic RegressionCode0
A Transformer-based Diffusion Probabilistic Model for Heart Rate and Blood Pressure Forecasting in Intensive Care UnitCode1
Neural Spline Search for Quantile Probabilistic Modeling0
Generative Time Series Forecasting with Diffusion, Denoise, and DisentanglementCode2
DANLIP: Deep Autoregressive Networks for Locally Interpretable Probabilistic Forecasting0
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and DistributionCode2
Infomaxformer: Maximum Entropy Transformer for Long Time-Series Forecasting Problem0
Time series Forecasting to detect anomalous behaviours in Multiphase Flow Meters0
End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based ReconciliationCode2
Sepformer-based Models: More Efficient Models for Long Sequence Time-Series ForecastingCode1
Few-shot human motion prediction for heterogeneous sensorsCode0
Temporal Disaggregation of the Cumulative Grass Growth0
A Pattern Discovery Approach to Multivariate Time Series Forecasting0
First De-Trend then Attend: Rethinking Attention for Time-Series ForecastingCode1
Temporal Saliency Detection Towards Explainable Transformer-based Timeseries ForecastingCode1
Improving Accuracy Without Losing Interpretability: A ML Approach for Time Series Forecasting0
Agnostic Learning for Packing Machine Stoppage Prediction in Smart Factories0
MegaCRN: Meta-Graph Convolutional Recurrent Network for Spatio-Temporal ModelingCode1
Towards Better Long-range Time Series Forecasting using Generative Forecasting0
Copula Conformal Prediction for Multi-step Time Series ForecastingCode1
A K-variate Time Series Is Worth K Words: Evolution of the Vanilla Transformer Architecture for Long-term Multivariate Time Series Forecasting0
cs-net: structural approach to time-series forecasting for high-dimensional feature space data with limited observations0
FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series ForecastingCode1
Correlation recurrent units: A novel neural architecture for improving the predictive performance of time-series data0
Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting0
Beyond S-curves: Recurrent Neural Networks for Technology Forecasting0
Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting0
Federated Learning for 5G Base Station Traffic ForecastingCode1
An Anomaly Detection Method for Satellites Using Monte Carlo Dropout0
Spatio-Temporal Meta-Graph Learning for Traffic ForecastingCode1
A Time Series is Worth 64 Words: Long-term Forecasting with TransformersCode5
EasyMLServe: Easy Deployment of REST Machine Learning ServicesCode0
Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments0
Time Series Forecasting with Hypernetworks Generating Parameters in Advance0
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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