Time Series Forecasting On Etth1 192 1

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			Paper Title
MoLE-DLinear	-	0.453	Mixture-of-Linear-Experts for Long-term Time Series Forecasting
TEFN	0.419	0.433	Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting
FiLM	0.423	0.414	FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting
PatchTST/64	0.429	0.413	A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
TiDE	0.422	0.412	Long-term Forecasting with TiDE: Time-series Dense Encoder
NLinear	0.415	0.408	Are Transformers Effective for Time Series Forecasting?
DiPE-Linear	-	0.407	Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting
DLinear	0.416	0.405	Are Transformers Effective for Time Series Forecasting?
RLinear	0.412	0.404	Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping
MoLE-RLinear	-	0.403	Mixture-of-Linear-Experts for Long-term Time Series Forecasting
TSMixer	0.418	0.399	TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting
PRformer	-	0.397	PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting
LTBoost (drop_last=false)	0.406	0.396	LTBoost: Boosted Hybrids of Ensemble Linear and Gradient Algorithms for the Long-term Time Series Forecasting
SegRNN	0.402	0.385	SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting
SCNN	0.398	0.379	Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting
xPatch	0.395	0.376	xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition
PatchMixer	0.394	0.373	PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting

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Time Series Forecasting On Etth1 192 1 | SOTA | HyperAI