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
Learning Novel Transformer Architecture for Time-series Forecasting0
Lightweight Online Adaption for Time Series Foundation Model Forecasts0
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series ForecastingCode1
On Creating a Causally Grounded Usable Rating Method for Assessing the Robustness of Foundation Models Supporting Time Series0
S2TX: Cross-Attention Multi-Scale State-Space Transformer for Time Series Forecasting0
IMTS-Mixer: Mixer-Networks for Irregular Multivariate Time Series Forecasting0
Vision-Enhanced Time Series Forecasting via Latent Diffusion Models0
A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy PerspectiveCode1
AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series ForecastingCode1
Forecasting time series with constraintsCode0
HADL Framework for Noise Resilient Long-Term Time Series ForecastingCode0
Channel Dependence, Limited Lookback Windows, and the Simplicity of Datasets: How Biased is Time Series Forecasting?0
Fine-Tuning Foundation Models with Federated Learning for Privacy Preserving Medical Time Series Forecasting0
Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal NarrativeCode1
Quantifying Cryptocurrency Unpredictability: A Comprehensive Study of Complexity and Forecasting0
Relational Conformal Prediction for Correlated Time Series0
Wisdom of the Crowds in Forecasting: Forecast Summarization for Supporting Future Event Prediction0
HDT: Hierarchical Discrete Transformer for Multivariate Time Series ForecastingCode1
Two-stage hybrid models for enhancing forecasting accuracy on heterogeneous time series0
A Machine Learning-Ready Data Processing Tool for Near Real-Time Forecasting0
Exploring Patterns Behind Sports0
Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time Series Forecasting Based on Biological ODEs0
Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive ForecastingCode0
Powerformer: A Transformer with Weighted Causal Attention for Time-series ForecastingCode0
TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series ForecastingCode2
Enhancing Financial Time-Series Forecasting with Retrieval-Augmented Large Language Models0
The α-Alternator: Dynamic Adaptation To Varying Noise Levels In Sequences Using The Vendi Score For Improved Robustness and PerformanceCode0
Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting0
CAPE: Covariate-Adjusted Pre-Training for Epidemic Time Series Forecasting0
Benchmarking Time Series Forecasting Models: From Statistical Techniques to Foundation Models in Real-World Applications0
Rule-based Evolving Fuzzy System for Time Series Forecasting: New Perspectives Based on Type-2 Fuzzy Sets Measures ApproachCode0
Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting0
Forecasting VIX using interpretable Kolmogorov-Arnold networks0
Binned Spectral Power Loss for Improved Prediction of Chaotic Systems0
BEAT: Balanced Frequency Adaptive Tuning for Long-Term Time-Series Forecasting0
Examining the Impact of Income Inequality and Gender on School Completion in Malaysia: A Machine Learning Approach Utilizing Malaysia's Public Sector Open Data0
Transformer Based Time-Series Forecasting for Stock0
Long-term prediction of El Niño-Southern Oscillation using reservoir computing with data-driven realtime filter0
Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series ForecastingCode3
Data-Driven vs Traditional Approaches to Power Transformer's Top-Oil Temperature Estimation0
Toward Relative Positional Encoding in Spiking Transformers0
SWIFT: Mapping Sub-series with Wavelet Decomposition Improves Time Series ForecastingCode1
Deterministic Reservoir Computing for Chaotic Time Series Prediction0
FreqMoE: Enhancing Time Series Forecasting through Frequency Decomposition Mixture of ExpertsCode1
VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series ForecastingCode1
Multimodal Stock Price Prediction0
FreEformer: Frequency Enhanced Transformer for Multivariate Time Series ForecastingCode1
TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series ForecastingCode2
Budget-constrained Collaborative Renewable Energy Forecasting MarketCode0
Automatic selection of the best neural architecture for time series forecasting via multi-objective optimization and Pareto optimality conditions0
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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