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 551600 of 1609 papers

TitleStatusHype
ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical ImagesCode1
aeon: a Python toolkit for learning from time seriesCode5
HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting?Code2
How far are today's time-series models from real-world weather forecasting applications?Code2
Understanding Different Design Choices in Training Large Time Series Models0
Robust Time Series Forecasting with Non-Heavy-Tailed Gaussian Loss-Weighted Sampler0
SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series ForecastingCode1
XXLTraffic: Expanding and Extremely Long Traffic forecasting beyond test adaptationCode1
TSI-Bench: Benchmarking Time Series ImputationCode3
CUQDS: Conformal Uncertainty Quantification under Distribution Shift for Trajectory Prediction0
LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction0
WindowMixer: Intra-Window and Inter-Window Modeling for Time Series Forecasting0
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting0
Reinforced Decoder: Towards Training Recurrent Neural Networks for Time Series ForecastingCode0
Fredformer: Frequency Debiased Transformer for Time Series ForecastingCode2
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant LearningCode1
Rating Multi-Modal Time-Series Forecasting Models (MM-TSFM) for Robustness Through a Causal Lens0
Time-MMD: Multi-Domain Multimodal Dataset for Time Series AnalysisCode2
Marginalization Consistent Probabilistic Forecasting of Irregular Time Series via Mixture of Separable flows0
DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series ForecastingCode1
CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series ForecastingCode1
A Language Model-Guided Framework for Mining Time Series with Distributional Shifts0
Modeling Temporal Dependencies within the Target for Long-Term Time Series Forecasting0
Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approach0
TimeSieve: Extracting Temporal Dynamics through Information BottlenecksCode1
Deep learning for precipitation nowcasting: A survey from the perspective of time series forecasting0
UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting0
FPN-fusion: Enhanced Linear Complexity Time Series Forecasting ModelCode0
Adaptive Multi-Scale Decomposition Framework for Time Series ForecastingCode2
TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting0
Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models0
Stochastic Diffusion: A Diffusion Probabilistic Model for Stochastic Time Series ForecastingCode0
Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models0
A Temporal Kolmogorov-Arnold Transformer for Time Series ForecastingCode2
CondTSF: One-line Plugin of Dataset Condensation for Time Series ForecastingCode1
Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability0
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality AlignmentCode2
Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning ApproachCode0
Share Secrets for Privacy: Confidential Forecasting with Vertical Federated LearningCode0
FTS: A Framework to Find a Faithful TimeSieve0
Hierarchical Classification Auxiliary Network for Time Series ForecastingCode1
DeepHGNN: Study of Graph Neural Network based Forecasting Methods for Hierarchically Related Multivariate Time Series0
Time-Series Foundation Models for Forecasting Soil Moisture Levels in Smart Agriculture0
ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks0
Are Self-Attentions Effective for Time Series Forecasting?Code2
MambaTS: Improved Selective State Space Models for Long-term Time Series ForecastingCode2
Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting0
ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning0
Scaling Law for Time Series ForecastingCode1
In-context Time Series Predictor0
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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