https://dblp.org/rdf/schema#authoredBy
|
https://dblp.org/pid/202/8470 +
, https://dblp.org/pid/52/323 +
, https://dblp.org/pid/54/3488 +
, https://dblp.org/pid/16/8492 +
, https://dblp.org/pid/219/1752 +
, https://dblp.org/pid/53/1151 +
, https://dblp.org/pid/98/6171 +
, https://dblp.org/pid/87/10734 +
, https://dblp.org/pid/14/2589 +
, https://dblp.org/pid/06/3613 +
|
https://dblp.org/rdf/schema#bibtexType
|
http://purl.org/net/nknouf/ns/bibtex#Inproceedings +
|
https://dblp.org/rdf/schema#documentPage
|
http://papers.nips.cc/paper_files/paper/2023/hash/f1d16af76939f476b5f040fd1398c0a3-Abstract-Conference.html +
|
https://dblp.org/rdf/schema#listedOnTocPage
|
https://dblp.org/db/conf/nips/neurips2023 +
|
https://dblp.org/rdf/schema#numberOfCreators
|
10
|
https://dblp.org/rdf/schema#primaryDocumentPage
|
http://papers.nips.cc/paper_files/paper/2023/hash/f1d16af76939f476b5f040fd1398c0a3-Abstract-Conference.html +
|
https://dblp.org/rdf/schema#publishedAsPartOf
|
https://dblp.org/rec/conf/nips/2023 +
|
https://dblp.org/rdf/schema#publishedIn
|
NeurIPS
|
https://dblp.org/rdf/schema#publishedInBook
|
NeurIPS
|
https://dblp.org/rdf/schema#title
|
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting.
|
https://dblp.org/rdf/schema#yearOfEvent
|
2023
|
https://dblp.org/rdf/schema#yearOfPublication
|
2023
|
rdf:type |
https://dblp.org/rdf/schema#Publication +
, https://dblp.org/rdf/schema#Inproceedings +
|
rdfs:label |
Kun Yi et al.: Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. (2023)
|