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 251300 of 1609 papers

TitleStatusHype
Adaptive parameters identification for nonlinear dynamics using deep permutation invariant networks0
The Relevance of AWS Chronos: An Evaluation of Standard Methods for Time Series Forecasting with Limited Tuning0
Towards Lightweight Time Series Forecasting: a Patch-wise Transformer with Weak Data Enriching0
Time series forecasting for multidimensional telemetry data using GAN and BiLSTM in a Digital Twin0
STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via0
Unveiling the Potential of Text in High-Dimensional Time Series ForecastingCode0
SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM TrainingCode1
Using Pre-trained LLMs for Multivariate Time Series Forecasting0
AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks0
Navigating Tomorrow: Reliably Assessing Large Language Models Performance on Future Event Prediction0
Battling the Non-stationarity in Time Series Forecasting via Test-time AdaptationCode1
DCIts -- Deep Convolutional Interpreter for time seriesCode0
Sensorformer: Cross-patch attention with global-patch compression is effective for high-dimensional multivariate time series forecastingCode0
Sequence Complementor: Complementing Transformers For Time Series Forecasting with Learnable Sequences0
The Tabular Foundation Model TabPFN Outperforms Specialized Time Series Forecasting Models Based on Simple FeaturesCode3
Time Series Language Model for Descriptive Caption Generation0
A Unified Hyperparameter Optimization Pipeline for Transformer-Based Time Series Forecasting ModelsCode0
Bridging Simplicity and Sophistication using GLinear: A Novel Architecture for Enhanced Time Series PredictionCode0
TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecasting0
AverageTime: Enhance Long-Term Time Series Forecasting with Simple AveragingCode0
Surrogate Modeling for Explainable Predictive Time Series Corrections0
Hidformer: Transformer-Style Neural Network in Stock Price Forecasting0
Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes0
Time Series Foundational Models: Their Role in Anomaly Detection and PredictionCode0
Ister: Inverted Seasonal-Trend Decomposition Transformer for Explainable Multivariate Time Series Forecasting0
Neural Conformal Control for Time Series ForecastingCode1
EasyTime: Time Series Forecasting Made Easy0
Quantum Time-Series Learning with Evolutionary AlgorithmsCode0
xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend DecompositionCode2
Enabling Time-series Foundation Model for Building Energy Forecasting via Contrastive Curriculum Learning0
WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series ForecastingCode2
Breaking the Context Bottleneck on Long Time Series ForecastingCode0
TimeRAG: BOOSTING LLM Time Series Forecasting via Retrieval-Augmented Generation0
Zero Shot Time Series Forecasting Using Kolmogorov Arnold Networks0
A Comprehensive Forecasting Framework based on Multi-Stage Hierarchical Forecasting Reconciliation and Adjustment0
DroughtSet: Understanding Drought Through Spatial-Temporal LearningCode0
Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine0
QuLTSF: Long-Term Time Series Forecasting with Quantum Machine LearningCode0
A Comparative Study of Pruning Methods in Transformer-based Time Series Forecasting0
TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series AnalysisCode1
EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series PredictionsCode0
Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting0
Learning Latent Spaces for Domain Generalization in Time Series Forecasting0
Financial Fine-tuning a Large Time Series ModelCode2
Quantum Kernel-Based Long Short-term Memory for Climate Time-Series Forecasting0
Auto-Regressive Moving Diffusion Models for Time Series ForecastingCode2
Adversarial Vulnerabilities in Large Language Models for Time Series ForecastingCode1
Proactive Model Adaptation Against Concept Drift for Online Time Series ForecastingCode2
Accurate Prediction of Temperature Indicators in Eastern China Using a Multi-Scale CNN-LSTM-Attention model0
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care0
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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