BibTeX record conf/nips/HansonR19

download as .bib file

@inproceedings{DBLP:conf/nips/HansonR19,
  author       = {Joshua Hanson and
                  Maxim Raginsky},
  editor       = {Hanna M. Wallach and
                  Hugo Larochelle and
                  Alina Beygelzimer and
                  Florence d'Alch{\'{e}}{-}Buc and
                  Emily B. Fox and
                  Roman Garnett},
  title        = {Universal Approximation of Input-Output Maps by Temporal Convolutional
                  Nets},
  booktitle    = {Advances in Neural Information Processing Systems 32: Annual Conference
                  on Neural Information Processing Systems 2019, NeurIPS 2019, December
                  8-14, 2019, Vancouver, BC, Canada},
  pages        = {14048--14058},
  year         = {2019},
  url          = {https://proceedings.neurips.cc/paper/2019/hash/39555391eb0624a439c5131b1bb8a2e0-Abstract.html},
  timestamp    = {Mon, 16 May 2022 15:41:51 +0200},
  biburl       = {https://dblp.org/rec/conf/nips/HansonR19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
a service of  Schloss Dagstuhl - Leibniz Center for Informatics

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.