Joshua Hanson, Maxim Raginsky. Universal Approximation of Input-Output Maps by Temporal Convolutional Nets. In Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Edward A. Fox, Roman Garnett, editors, Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada. pages 14048-14058, 2019. [doi]
@inproceedings{HansonR19-0,
title = {Universal Approximation of Input-Output Maps by Temporal Convolutional Nets},
author = {Joshua Hanson and Maxim Raginsky},
year = {2019},
url = {http://papers.nips.cc/paper/9554-universal-approximation-of-input-output-maps-by-temporal-convolutional-nets},
researchr = {https://researchr.org/publication/HansonR19-0},
cites = {0},
citedby = {0},
pages = {14048-14058},
booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada},
editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alché-Buc and Edward A. Fox and Roman Garnett},
}