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 51100 of 1609 papers

TitleStatusHype
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series ForecastingCode1
HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting0
BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting ModelsCode5
TransDF: Time-Series Forecasting Needs Transformed Label Alignment0
CAIFormer: A Causal Informed Transformer for Multivariate Time Series Forecasting0
MoTime: A Dataset Suite for Multimodal Time Series Forecasting0
Time Tracker: Mixture-of-Experts-Enhanced Foundation Time Series Forecasting Model with Decoupled Training Pipelines0
Robust Multi-Modal Forecasting: Integrating Static and Dynamic FeaturesCode0
Sonnet: Spectral Operator Neural Network for Multivariable Time Series ForecastingCode1
Human in the Loop Adaptive Optimization for Improved Time Series ForecastingCode0
Leveraging Multivariate Long-Term History Representation for Time Series Forecasting0
This Time is Different: An Observability Perspective on Time Series Foundation ModelsCode3
Byte Pair Encoding for Efficient Time Series Forecasting0
CRAFT: Time Series Forecasting with Cross-Future Behavior AwarenessCode0
CATS: Clustering-Aggregated and Time Series for Business Customer Purchase Intention Prediction0
Enhancing Channel-Independent Time Series Forecasting via Cross-Variate Patch Embedding0
RIFLES: Resource-effIcient Federated LEarning via Scheduling0
Temporal Query Network for Efficient Multivariate Time Series ForecastingCode2
Time series saliency maps: explaining models across multiple domainsCode1
Enhancing LLMs for Time Series Forecasting via Structure-Guided Cross-Modal Alignment0
Stochastic Processes with Modified Lognormal Distribution Featuring Flexible Upper Tail0
Multi-Order Wavelet Derivative Transform for Deep Time Series Forecasting0
Zero-Shot Forecasting Mortality Rates: A Global Study0
Beyond Time: Cross-Dimensional Frequency Supervision for Time Series Forecasting0
Nearest Neighbor Multivariate Time Series Forecasting0
Logo-LLM: Local and Global Modeling with Large Language Models for Time Series ForecastingCode7
Context-Aware Probabilistic Modeling with LLM for Multimodal Time Series Forecasting0
IISE PG&E Energy Analytics Challenge 2025: Hourly-Binned Regression Models Beat Transformers in Load Forecasting0
Context parroting: A simple but tough-to-beat baseline for foundation models in scientific machine learning0
Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion0
Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline0
Informed Forecasting: Leveraging Auxiliary Knowledge to Boost LLM Performance on Time Series Forecasting0
Avocado Price Prediction Using a Hybrid Deep Learning Model: TCN-MLP-Attention Architecture0
ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data0
Does Scaling Law Apply in Time Series Forecasting?0
FAS-LLM: Large Language Model-Based Channel Prediction for OTFS-Enabled Satellite-FAS Links0
Feature Fitted Online Conformal Prediction for Deep Time Series Forecasting ModelCode0
SPAT: Sensitivity-based Multihead-attention Pruning on Time Series Forecasting Models0
A Multi-scale Representation Learning Framework for Long-Term Time Series Forecasting0
OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed DomainCode3
Matrix Is All You Need0
Enhancing Time Series Forecasting via a Parallel Hybridization of ARIMA and Polynomial Classifiers0
Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention MechanismCode1
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering0
Retrieval Augmented Time Series ForecastingCode1
Non-stationary Diffusion For Probabilistic Time Series ForecastingCode2
STRGCN: Capturing Asynchronous Spatio-Temporal Dependencies for Irregular Multivariate Time Series Forecasting0
FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series ForecastingCode1
Less is More: Efficient Weight Farcasting with 1-Layer Neural Network0
SCFormer: Structured Channel-wise Transformer with Cumulative Historical State for Multivariate Time Series ForecastingCode0
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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