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 11011150 of 1609 papers

TitleStatusHype
A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecastingCode1
Time Series Forecasting Models Copy the Past: How to Mitigate0
Respecting Time Series Properties Makes Deep Time Series Forecasting PerfectCode1
MQRetNN: Multi-Horizon Time Series Forecasting with Retrieval Augmentation0
Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense MechanismsCode5
Mitigating Data Redundancy to Revitalize Transformer-based Long-Term Time Series Forecasting SystemCode0
Greykite: Deploying Flexible Forecasting at Scale at LinkedInCode3
Prediction of the motion of chest internal points using a recurrent neural network trained with real-time recurrent learning for latency compensation in lung cancer radiotherapyCode0
Learning Deep Time-index Models for Time Series ForecastingCode2
Dateformer: Time-modeling Transformer for Longer-term Series ForecastingCode0
Variations on two-parameter families of forecasting functions: seasonal/nonseasonal Models, comparison to the exponential smoothing and ARIMA models, and applications to stock market data0
Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures0
Comparative Analysis of Time Series Forecasting Approaches for Household Electricity Consumption Prediction0
Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting0
Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series ForecastingCode1
Multi-Variate Time Series Forecasting on Variable SubsetsCode1
TreeDRNet:A Robust Deep Model for Long Term Time Series Forecasting0
An Open Source and Reproducible Implementation of LSTM and GRU Networks for Time Series ForecastingCode1
Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic ForecastingCode2
Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series ForecastingCode2
When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series ForecastingCode1
DRAformer: Differentially Reconstructed Attention Transformer for Time-Series Forecasting0
Scaleformer: Iterative Multi-scale Refining Transformers for Time Series ForecastingCode1
VQ-AR: Vector Quantized Autoregressive Probabilistic Time Series Forecasting0
Non-stationary Transformers: Exploring the Stationarity in Time Series ForecastingCode2
Are Transformers Effective for Time Series Forecasting?Code4
Sparse Graph Learning from Spatiotemporal Time SeriesCode1
Analytics of Business Time Series Using Machine Learning and Bayesian Inference0
FreDo: Frequency Domain-based Long-Term Time Series Forecasting0
Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media Posts0
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series ForecastingCode1
Multi-scale Attention Flow for Probabilistic Time Series Forecasting0
Efficient Automated Deep Learning for Time Series ForecastingCode4
Adaptive Graph Convolutional Network Framework for Multidimensional Time Series Prediction0
Stock Price Prediction Based on Natural Language ProcessingCode0
Differentially Private Multivariate Time Series Forecasting of Aggregated Human Mobility With Deep Learning: Input or Gradient Perturbation?Code0
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Version0
Forecasting foreign exchange rates with regression networks tuned by Bayesian optimization0
Time Series Forecasting (TSF) Using Various Deep Learning Models0
EvoSTS Forecasting: Evolutionary Sparse Time-Series Forecasting0
Few-Shot Forecasting of Time-Series with Heterogeneous ChannelsCode1
Probabilistic AutoRegressive Neural Networks for Accurate Long-range ForecastingCode0
Towards Spatio-Temporal Aware Traffic Time Series Forecasting--Full VersionCode1
AutoTS: Automatic Time Series Forecasting Model Design Based on Two-Stage Pruning0
Forecasting Sparse Movement Speed of Urban Road Networks with Nonstationary Temporal Matrix FactorizationCode1
DEPTS: Deep Expansion Learning for Periodic Time Series ForecastingCode1
What is the best RNN-cell structure for forecasting each time series behavior?0
Wasserstein Adversarial Transformer for Cloud Workload PredictionCode1
Dual reparametrized Variational Generative Model for Time-Series Forecasting0
Monitoring Time Series With Missing Values: a Deep Probabilistic Approach0
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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