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 701750 of 1609 papers

TitleStatusHype
Predicting Outcomes in Video Games with Long Short Term Memory NetworksCode0
Deep Coupling Network For Multivariate Time Series Forecasting0
Adaptive time series forecasting with markovian variance switching0
DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging LoadCode1
Generative Probabilistic Time Series Forecasting and Applications in Grid Operations0
When and How: Learning Identifiable Latent States for Nonstationary Time Series Forecasting0
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations ModelingCode2
Structural Knowledge Informed Continual Multivariate Time Series Forecasting0
Attractor Memory for Long-Term Time Series Forecasting: A Chaos PerspectiveCode1
Time Series Forecasting with LLMs: Understanding and Enhancing Model CapabilitiesCode1
RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data0
Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review0
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise AttentionCode2
Loss Shaping Constraints for Long-Term Time Series Forecasting0
Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through Next Curve Shape Prediction0
Attention as Robust Representation for Time Series Forecasting0
Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting0
Bellman Conformal Inference: Calibrating Prediction Intervals For Time SeriesCode1
Multi-Patch Prediction: Adapting LLMs for Time Series Representation LearningCode2
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series ForecastingCode3
AutoTimes: Autoregressive Time Series Forecasters via Large Language ModelsCode3
Timer: Generative Pre-trained Transformers Are Large Time Series ModelsCode4
Minusformer: Improving Time Series Forecasting by Progressively Learning ResidualsCode2
Unified Training of Universal Time Series Forecasting TransformersCode5
RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with AnomaliesCode1
A Novel Hyperdimensional Computing Framework for Online Time Series Forecasting on the EdgeCode0
Self-Supervised Contrastive Learning for Long-term ForecastingCode2
Efficient and Effective Time-Series Forecasting with Spiking Neural NetworksCode2
Root Cause Analysis In Microservice Using Neural Granger Causal DiscoveryCode1
Multivariate Probabilistic Time Series Forecasting with Correlated ErrorsCode1
LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling lawCode0
Fin-GAN: forecasting and classifying financial time series via generative adversarial networksCode2
Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading IndicatorsCode2
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint PredictionCode1
Distillation Enhanced Time Series Forecasting Network with Momentum Contrastive LearningCode0
Encoding Temporal Statistical-space Priors via Augmented Representation0
Addressing Distribution Shift in Time Series Forecasting with Instance Normalization Flows0
Dynamic Long-Term Time-Series Forecasting via Meta Transformer NetworksCode0
A Survey of Deep Learning and Foundation Models for Time Series Forecasting0
Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting0
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting0
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series TasksCode2
MSHyper: Multi-Scale Hypergraph Transformer for Long-Range Time Series ForecastingCode1
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process Download PDFCode1
Time Series Forecasting of HIV/AIDS in the Philippines Using Deep Learning: Does COVID-19 Epidemic Matter?0
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting0
Hypercomplex neural network in time series forecasting of stock data0
Predicting the structure of dynamic graphs0
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time SeriesCode4
A Primer on Temporal Graph 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