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 12511300 of 1609 papers

TitleStatusHype
Taming Pre-trained Language Models with N-gram Representations for Low-Resource Domain AdaptationCode1
Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-SeriesCode1
Vision-Guided Forecasting -- Visual Context for Multi-Horizon Time Series Forecasting0
Massive feature extraction for explaining and foretelling hydroclimatic time series forecastability at the global scale0
A Framework for Imbalanced Time-series ForecastingCode0
High-dimensional Multivariate Time Series Forecasting in IoT Applications using Embedding Non-stationary Fuzzy Time Series0
Topological Attention for Time Series Forecasting0
Long-term series forecasting with Query Selector -- efficient model of sparse attentionCode1
Integrating LSTMs and GNNs for COVID-19 ForecastingCode1
DIT4BEARs Smart Roads InternshipCode0
Deep Autoregressive Models with Spectral AttentionCode1
Ensembles of Randomized NNs for Pattern-based Time Series Forecasting0
Probabilistic Time Series Forecasting with Implicit Quantile NetworksCode2
EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal DataCode0
Low-Rank Temporal Attention-Augmented Bilinear Network for financial time-series forecasting0
Randomized Neural Networks for Forecasting Time Series with Multiple Seasonality0
Visual Time Series Forecasting: An Image-driven Approach0
Automated Evolutionary Approach for the Design of Composite Machine Learning PipelinesCode1
The mbsts package: Multivariate Bayesian Structural Time Series Models in R0
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series ForecastingCode2
MegazordNet: combining statistical and machine learning standpoints for time series forecasting0
Conditional Temporal Neural Processes with Covariance LossCode0
TS2Vec: Towards Universal Representation of Time SeriesCode1
ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative ModelsCode1
On the benefits of maximum likelihood estimation for Regression and Forecasting0
SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionCode1
Deep Neural Networks for Approximating Stream Reasoning with C-SPARQL0
Faster than LASER -- Towards Stream Reasoning with Deep Neural Networks0
Differentiable Neural Architecture Search with Morphism-based Transformable Backbone Architectures0
Deep Probabilistic Koopman: Long-term time-series forecasting under periodic uncertainties0
RECOWNs: Probabilistic Circuits for Trustworthy Time Series Forecasting0
DMIDAS: Deep Mixed Data Sampling Regression for Long Multi-Horizon Time Series Forecasting0
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
Deep Probabilistic Time Series Forecasting using Augmented Recurrent Input for Dynamic Systems0
Prediction of the Position of External Markers Using a Recurrent Neural Network Trained With Unbiased Online Recurrent Optimization for Safe Lung Cancer RadiotherapyCode1
Periodic Freight Demand Estimation for Large-scale Tactical Planning0
Univariate Long-Term Municipal Water Demand Forecasting0
Long Short-term Memory RNN0
Monash Time Series Forecasting ArchiveCode1
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series ForecastingCode1
On projection methods for functional time series forecastingCode0
The effects of regularisation on RNN models for time series forecasting: Covid-19 as an exampleCode0
Comparison of Traditional and Hybrid Time Series Models for Forecasting COVID-19 Cases0
Stock Price Forecasting in Presence of Covid-19 Pandemic and Evaluating Performances of Machine Learning Models for Time-Series Forecasting0
Using Twitter Attribute Information to Predict Stock PricesCode1
TimeGym: Debugging for Time Series Modeling in Python0
MRC-LSTM: A Hybrid Approach of Multi-scale Residual CNN and LSTM to Predict Bitcoin Price0
Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods0
Traffic signal prediction on transportation networks using spatio-temporal correlations on graphsCode0
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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