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 13011350 of 1609 papers

TitleStatusHype
Stochastic Recurrent Neural Network for Multistep Time Series Forecasting0
Predicting the Number of Reported Bugs in a Software RepositoryCode0
A study on Ensemble Learning for Time Series Forecasting and the need for Meta-Learning0
Time Series Forecasting via Learning Convolutionally Low-Rank ModelsCode0
Forecasting The JSE Top 40 Using Long Short-Term Memory Networks0
Viking: Variational Bayesian Variance Tracking0
EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction taskCode1
Boosted Embeddings for Time Series Forecasting0
Deep Time Series Forecasting with Shape and Temporal CriteriaCode1
Flow-based Spatio-Temporal Structured Prediction of Motion DynamicsCode0
Evaluation of Time Series Forecasting Models for Estimation of PM2.5 Levels in Air0
Towards a Rigorous Evaluation of Explainability for Multivariate Time Series0
Model Compression for Dynamic Forecast CombinationCode0
A Comparative Analysis of Machine Learning and Grey Models0
Model Selection for Time Series Forecasting: Empirical Analysis of Different EstimatorsCode0
Time Series Analysis and Modeling to Forecast: a Survey0
Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting0
Multi-source Transfer Learning with Ensemble for Financial Time Series Forecasting0
An Experimental Review on Deep Learning Architectures for Time Series ForecastingCode1
Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting -- Full version0
Modeling and forecasting Spread of COVID-19 epidemic in Iran until Sep 22, 2021, based on deep learning0
A novel weighted approach for time series forecasting based on visibility graph0
Spectral Temporal Graph Neural Network for Multivariate Time-series ForecastingCode1
How to Train Your Flare Prediction Model: Revisiting Robust Sampling of Rare Events0
LSTMs and Deep Residual Networks for Carbohydrate and Bolus Recommendations in Type 1 Diabetes Management0
Two-Stage Framework for Seasonal Time Series Forecasting0
Improving Neural Networks for Time Series Forecasting using Data Augmentation and AutoMLCode0
Variance Reduced Training with Stratified Sampling for Forecasting Models0
Deep Video Prediction for Time Series Forecasting0
AutoAI-TS: AutoAI for Time Series Forecasting0
Optimal Prediction Intervals for Macroeconomic Time Series Using Chaos and NSGA II0
On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification0
Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time SeriesCode1
Domain Adaptation for Time Series Forecasting via Attention SharingCode1
Forecasting Nonnegative Time Series via Sliding Mask Method (SMM) and Latent Clustered Forecast (LCF)0
Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting ModelsCode0
NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series ForecastingCode1
Understanding the input-output relationship of neural networks in the time series forecasting radon levels at Canfranc Underground Laboratory0
Stochastic Online Convex Optimization. Application to probabilistic time series forecasting0
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting0
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting0
Adjusting for Autocorrelated Errors in Neural Networks for Time SeriesCode1
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series ForecastingCode2
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting0
Multi-Task Time Series Forecasting With Shared Attention0
Flow Forecast: A deep learning for time series forecasting, classification, and anomaly detection framework built in PyTorch0
Discrete Graph Structure Learning for Forecasting Multiple Time SeriesCode1
Challenges and approaches to time-series forecasting in data center telemetry: A Survey0
Do We Really Need Deep Learning Models for Time Series Forecasting?Code1
Interpretable Multivariate Time Series Forecasting with Temporal Attention Convolutional Neural NetworksCode1
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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