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 476500 of 1609 papers

TitleStatusHype
Uncovering the Functional Roles of Nonlinearity in Memory0
Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting0
MIRA: Medical Time Series Foundation Model for Real-World Health Data0
End-to-End Probabilistic Framework for Learning with Hard Constraints0
A Statistical Framework for Model Selection in LSTM Networks0
The cost of ensembling: is it always worth combining?0
Trojan Horse Hunt in Time Series Forecasting for Space Operations0
Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries0
Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large ModelsCode0
Binary Cumulative Encoding meets Time Series Forecasting0
Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting0
Non-collective Calibrating Strategy for Time Series ForecastingCode0
Improving Time Series Forecasting via Instance-aware Post-hoc Revision0
Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series ForecastingCode0
Continuous Evolution Pool: Taming Recurring Concept Drift in Online Time Series Forecasting0
Synthetic Time Series Forecasting with Transformer Architectures: Extensive Simulation BenchmarksCode0
Comparative analysis of financial data differentiation techniques using LSTM neural network0
TransDF: Time-Series Forecasting Needs Transformed Label Alignment0
HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting0
CAIFormer: A Causal Informed Transformer for Multivariate Time Series Forecasting0
Time Tracker: Mixture-of-Experts-Enhanced Foundation Time Series Forecasting Model with Decoupled Training Pipelines0
MoTime: A Dataset Suite for Multimodal Time Series Forecasting0
Human in the Loop Adaptive Optimization for Improved Time Series ForecastingCode0
Robust Multi-Modal Forecasting: Integrating Static and Dynamic FeaturesCode0
Byte Pair Encoding for Efficient Time Series 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