HyperAI超神経

ホームニュース論文チュートリアルデータセット百科事典 SOTA LLMモデル GPU ランキング学会

サイトについて

日本語

HyperAI超神経

Time Series Forecasting On Etth1 720 2

評価指標

MAE

MSE

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名	MAE	MSE	Paper Title	Repository
DLinear	0.359	0.189	Are Transformers Effective for Time Series Forecasting?
Transformer	0.4213	0.2501	Long-term series forecasting with Query Selector -- efficient model of sparse attention
QuerySelector	0.373	0.2136	Long-term series forecasting with Query Selector -- efficient model of sparse attention
Informer	0.357	0.201	Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
SCINet	0.25	0.099	SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction
PatchTST/64	0.236	0.087	A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
FiLM	0.24	0.09	FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting
AutoCon	0.223	0.078	Self-Supervised Contrastive Learning for Long-term Forecasting
SegRNN	0.233	0.085	SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting
PatchMixer	0.243	0.093	PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting
NLinear	0.226	0.08	Are Transformers Effective for Time Series Forecasting?
Parallel Series Transformer	0.286	0.129	How Features Benefit: Parallel Series Embedding for Multivariate Time Series Forecasting with Transformer	-

0 of 12 row(s) selected.