Time Series Forecasting On Etth1 336 1

Metrics

MAE

MSE

Results

Performance results of various models on this benchmark

			Paper Title	Repository
Informer	0.753	0.884	Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
QuerySelector	0.7039	0.8503	Long-term series forecasting with Query Selector -- efficient model of sparse attention
Transformer	0.7041	0.8321	Long-term series forecasting with Query Selector -- efficient model of sparse attention
Aaren	0.55	0.65	Attention as an RNN
RPMixer	0.498	0.521	RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data	-
ATFNet	0.521	0.514	ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting
MOIRAILarge	0.474	0.514	Unified Training of Universal Time Series Forecasting Transformers
Autoformer	0.484	0.505	Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
SCINet	0.495	0.504	SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction
S-Mamba	0.468	0.489	Is Mamba Effective for Time Series Forecasting?
iTransformer	0.458	0.487	iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
SOFTS	0.452	0.480	SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
CPNet	0.450	0.479	Boosting MLPs with a Coarsening Strategy for Long-Term Time Series Forecasting
GTT-Large(50M traing samples)	0.444	0.475	Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through Next Curve Shape Prediction	-
TEFN	0.441	0.475	Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting
Basisformer	0.451	0.473	BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis
Simba	0.443	0.473	Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges
VCformer	0.449	0.473	VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting
ForecastGrapher	0.448	0.472	ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks	-
MoLE-DLinear	-	0.469	Mixture-of-Linear-Experts for Long-term Time Series Forecasting

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Time Series Forecasting On Etth1 336 1

Metrics

Results