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 601650 of 1609 papers

TitleStatusHype
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern GeneratorsCode2
Fairness Hub Technical Briefs: Definition and Detection of Distribution Shift0
TimeMixer: Decomposable Multiscale Mixing for Time Series ForecastingCode5
Large language models can be zero-shot anomaly detectors for time series?Code2
MultiCast: Zero-Shot Multivariate Time Series Forecasting Using LLMs0
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting0
FAITH: Frequency-domain Attention In Two Horizons for Time Series ForecastingCode1
Interpretable Multivariate Time Series Forecasting Using Neural Fourier TransformCode1
Attention as an RNNCode1
Scaling-laws for Large Time-series Models0
Bond Graphs for multi-physics informed Neural Networks for multi-variate time series0
Intervention-Aware Forecasting: Breaking Historical Limits from a System PerspectiveCode3
NFCL: Simply interpretable neural networks for a short-term multivariate forecasting0
Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla TransformersCode1
Time-Series Forecasting and Sequence Learning Using Memristor-based Reservoir System0
Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting0
System Safety Monitoring of Learned Components Using Temporal Metric Forecasting0
Enhancing Transformer-based models for Long Sequence Time Series Forecasting via Structured MatrixCode0
Adaptive Convolutional Forecasting Network Based on Time Series Feature-Driven0
VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series ForecastingCode1
Lag Selection for Univariate Time Series Forecasting using Deep Learning: An Empirical StudyCode0
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable MissingCode2
WEITS: A Wavelet-enhanced residual framework for interpretable time series forecasting0
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series ForecastingCode2
LaT-PFN: A Joint Embedding Predictive Architecture for In-context Time-series ForecastingCode1
DGCformer: Deep Graph Clustering Transformer for Multivariate Time Series Forecasting0
Kolmogorov-Arnold Networks (KANs) for Time Series Analysis0
Forecasting with Hyper-TreesCode1
Context Neural Networks: A Scalable Multivariate Model for Time Series Forecasting0
TKAN: Temporal Kolmogorov-Arnold NetworksCode3
DTMamba : Dual Twin Mamba for Time Series Forecasting0
Time Evidence Fusion Network: Multi-source View in Long-Term Time Series ForecastingCode2
Multi-Scale Dilated Convolution Network for Long-Term Time Series Forecasting0
Towards Invariant Time Series Forecasting in Smart Cities0
VAEneu: A New Avenue for VAE Application on Probabilistic Forecasting0
Boosting MLPs with a Coarsening Strategy for Long-Term Time Series ForecastingCode0
Functional Latent Dynamics for Irregularly Sampled Time Series ForecastingCode0
ReCycle: Fast and Efficient Long Time Series Forecasting with Residual Cyclic TransformersCode0
Wildfire Risk Prediction: A Review0
Interpretable Vital Sign Forecasting with Model Agnostic Attention Maps0
SparseTSF: Modeling Long-term Time Series Forecasting with 1k ParametersCode3
Time Machine GPT0
Evaluating the effectiveness of predicting covariates in LSTM Networks for Time Series ForecastingCode0
CVTN: Cross Variable and Temporal Integration for Time Series Forecasting0
Generalization capabilities and robustness of hybrid models grounded in physics compared to purely deep learning modelsCode0
Efficient Deterministic Renewable Energy Forecasting Guided by Multiple-Location Weather Data0
Sensor Response-Time Reduction using Long-Short Term Memory Network Forecasting0
Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and ChallengesCode2
Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting0
Fourier Series Guided Design of Quantum Convolutional Neural Networks for Enhanced Time Series Forecasting0
Show:102550
← PrevPage 13 of 33Next →

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