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 201250 of 1609 papers

TitleStatusHype
ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical ImagesCode1
Improved Online Conformal Prediction via Strongly Adaptive Online LearningCode1
How Much Can Time-related Features Enhance Time Series Forecasting?Code1
Battling the Non-stationarity in Time Series Forecasting via Test-time AdaptationCode1
Combating Distribution Shift for Accurate Time Series Forecasting via HypernetworksCode1
Inductive Graph Neural Networks for Spatiotemporal KrigingCode1
Bellman Conformal Inference: Calibrating Prediction Intervals For Time SeriesCode1
A Comprehensive Survey of Regression Based Loss Functions for Time Series ForecastingCode1
Benchmarks and Custom Package for Energy ForecastingCode1
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable BasisCode1
A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy PerspectiveCode1
Hierarchical Classification Auxiliary Network for Time Series ForecastingCode1
Adjusting for Autocorrelated Errors in Neural Networks for Time SeriesCode1
BACKTIME: Backdoor Attacks on Multivariate Time Series ForecastingCode1
An Analysis of Linear Time Series Forecasting ModelsCode1
Informer: Beyond Efficient Transformer for Long Sequence Time-Series ForecastingCode1
Graph Neural Networks for Improved El Niño ForecastingCode1
Graph Neural Controlled Differential Equations for Traffic ForecastingCode1
Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic ForecastingCode1
Graph-based Time Series Clustering for End-to-End Hierarchical ForecastingCode1
LaT-PFN: A Joint Embedding Predictive Architecture for In-context Time-series ForecastingCode1
Learning Fast and Slow for Online Time Series ForecastingCode1
Handling Concept Drift in Global Time Series ForecastingCode1
auto-sktime: Automated Time Series ForecastingCode1
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint PredictionCode1
LETS Forecast: Learning Embedology for Time Series ForecastingCode1
Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series ForecastingCode1
LightCTS: A Lightweight Framework for Correlated Time Series ForecastingCode1
An Experimental Review on Deep Learning Architectures for Time Series ForecastingCode1
LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series ForecastersCode1
Autoregressive Moving-average Attention Mechanism for Time Series ForecastingCode1
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series ForecastingCode1
HDT: Hierarchical Discrete Transformer for Multivariate Time Series ForecastingCode1
Unlocking the Potential of Deep Learning in Peak-Hour Series ForecastingCode1
Instance-wise Graph-based Framework for Multivariate Time Series ForecastingCode1
LTBoost: Boosted Hybrids of Ensemble Linear and Gradient Algorithms for the Long-term Time Series ForecastingCode1
CARD: Channel Aligned Robust Blend Transformer for Time Series ForecastingCode1
Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series ForecastingCode1
FreqMoE: Enhancing Time Series Forecasting through Frequency Decomposition Mixture of ExpertsCode1
Adversarial Vulnerabilities in Large Language Models for Time Series ForecastingCode1
An Open Source and Reproducible Implementation of LSTM and GRU Networks for Time Series ForecastingCode1
MegaCRN: Meta-Graph Convolutional Recurrent Network for Spatio-Temporal ModelingCode1
Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative RegularizationCode1
CAMul: Calibrated and Accurate Multi-view Time-Series ForecastingCode1
Gateformer: Advancing Multivariate Time Series Forecasting through Temporal and Variate-Wise Attention with Gated RepresentationsCode1
MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series PredictionCode1
FrAug: Frequency Domain Augmentation for Time Series ForecastingCode1
Time series forecasting with Gaussian Processes needs priorsCode1
ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series ForecastingCode1
ForecastPFN: Synthetically-Trained Zero-Shot ForecastingCode1
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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
4DLinearMSE0.61Unverified
5MoLE-DLinearMSE0.61Unverified
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
8TiDEMSE0.33Unverified
9LTBoost (drop_last=false)MSE0.33Unverified
10PRformerMSE0.33Unverified
#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
3TiDEMSE0.38Unverified
4MoLE-RLinearMSE0.38Unverified
5FiLMMSE0.37Unverified
6PatchTST/64MSE0.37Unverified
7DiPE-LinearMSE0.37Unverified
8TSMixerMSE0.37Unverified
9RLinearMSE0.37Unverified
10TTMMSE0.36Unverified
#ModelMetricClaimedVerifiedStatus
1TEFNMSE0.23Unverified
2DLinearMSE0.22Unverified