%0 Journal Article %1 journals/corr/abs-2311-06184 %A Yi, Kun %A Zhang, Qi %A Fan, Wei %A Wang, Shoujin %A Wang, Pengyang %A He, Hui %A Lian, Defu %A An, Ning %A Cao, Longbing %A Niu, Zhendong %D 2023 %J CoRR %K dblp %T Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. %U http://dblp.uni-trier.de/db/journals/corr/corr2311.html#abs-2311-06184 %V abs/2311.06184

@article{journals/corr/abs-2311-06184, added-at = {2024-02-05T00:00:00.000+0100}, author = {Yi, Kun and Zhang, Qi and Fan, Wei and Wang, Shoujin and Wang, Pengyang and He, Hui and Lian, Defu and An, Ning and Cao, Longbing and Niu, Zhendong}, biburl = {https://www.bibsonomy.org/bibtex/26f1de094f1ef6b13439b0176f5f51aed/dblp}, ee = {https://doi.org/10.48550/arXiv.2311.06184}, interhash = {90cdd16b919ffdea08ffb03bd812aafe}, intrahash = {6f1de094f1ef6b13439b0176f5f51aed}, journal = {CoRR}, keywords = {dblp}, timestamp = {2024-04-08T23:16:17.000+0200}, title = {Frequency-domain MLPs are More Effective Learners in Time Series Forecasting.}, url = {http://dblp.uni-trier.de/db/journals/corr/corr2311.html#abs-2311-06184}, volume = {abs/2311.06184}, year = 2023 }