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 10011050 of 1609 papers

TitleStatusHype
AutoAI-TS: AutoAI for Time Series Forecasting0
AutoCTS: Automated Correlated Time Series Forecasting -- Extended Version0
Automated Few-Shot Time Series Forecasting based on Bi-level Programming0
Automatic Forecasting via Meta-Learning0
Automatic selection of the best neural architecture for time series forecasting via multi-objective optimization and Pareto optimality conditions0
AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data0
AutoPV: Automatically Design Your Photovoltaic Power Forecasting Model0
Autoregressive Quantile Flows for Predictive Uncertainty Estimation0
AutoTS: Automatic Time Series Forecasting Model Design Based on Two-Stage Pruning0
Avocado Price Prediction Using a Hybrid Deep Learning Model: TCN-MLP-Attention Architecture0
Balancing Computational Efficiency and Forecast Error in Machine Learning-based Time-Series Forecasting: Insights from Live Experiments on Meteorological Nowcasting0
Bayesian Time Series Forecasting with Change Point and Anomaly Detection0
Beam Prediction based on Large Language Models0
BEAT: Balanced Frequency Adaptive Tuning for Long-Term Time-Series Forecasting0
Benchmarking Time Series Forecasting Models: From Statistical Techniques to Foundation Models in Real-World Applications0
Beyond Data Scarcity: A Frequency-Driven Framework for Zero-Shot Forecasting0
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning0
Beyond Forecasting: Compositional Time Series Reasoning for End-to-End Task Execution0
Beyond S-curves: Recurrent Neural Networks for Technology Forecasting0
Beyond Time: Cross-Dimensional Frequency Supervision for Time Series Forecasting0
Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting0
Binary Cumulative Encoding meets Time Series Forecasting0
Binned Spectral Power Loss for Improved Prediction of Chaotic Systems0
Block Toeplitz Sparse Precision Matrix Estimation for Large-Scale Interval-Valued Time Series Forecasting0
Bond Graphs for multi-physics informed Neural Networks for multi-variate time series0
Boosted Embeddings for Time Series Forecasting0
Boosted Ensemble Learning based on Randomized NNs for Time Series Forecasting0
Boosting Certified Robustness for Time Series Classification with Efficient Self-Ensemble0
Brain-inspired photonic signal processor for periodic pattern generation and chaotic system emulation0
BreakGPT: Leveraging Large Language Models for Predicting Asset Price Surges0
Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting0
Bridging Short- and Long-Term Dependencies: A CNN-Transformer Hybrid for Financial Time Series Forecasting0
Bridging the Last Mile of Prediction: Enhancing Time Series Forecasting with Conditional Guided Flow Matching0
Byte Pair Encoding for Efficient Time Series Forecasting0
CAIFormer: A Causal Informed Transformer for Multivariate Time Series Forecasting0
Can Competition Enhance the Proficiency of Agents Powered by Large Language Models in the Realm of News-driven Time Series Forecasting?0
Can LLMs Serve As Time Series Anomaly Detectors?0
Can Local Representation Alignment RNNs Solve Temporal Tasks?0
Can time series forecasting be automated? A benchmark and analysis0
CAPE: Covariate-Adjusted Pre-Training for Epidemic Time Series Forecasting0
Forecasting Cardiology Admissions from Catheterization Laboratory0
CATS: Clustering-Aggregated and Time Series for Business Customer Purchase Intention Prediction0
Causality-Inspired Models for Financial Time Series Forecasting0
Feedback System Neural Networks for Inferring Causality in Directed Cyclic Graphs0
CausalRivers -- Scaling up benchmarking of causal discovery for real-world time-series0
Causal Triple Attention Time Series Forecasting0
Chain-structured neural architecture search for financial time series forecasting0
Challenges and approaches to time-series forecasting in data center telemetry: A Survey0
Channel Dependence, Limited Lookback Windows, and the Simplicity of Datasets: How Biased is Time Series Forecasting?0
Chaotic Variational Auto encoder-based Adversarial Machine Learning0
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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