A fast saddle-point dynamical system approach to robust deep learning.
- DOI
- 10.1016/j.neunet.2021.02.021
- Published
- 2021 Jul
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2021.02.021,
title = {A fast saddle-point dynamical system approach to robust deep learning.},
author = {Esfandiari Y and Balu A and Ebrahimi K and Vaidya U and Elia N and Sarkar S},
year = {2021},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2021.02.021},
url = {https://doi.org/10.1016/j.neunet.2021.02.021}
}RIS
TY - JOUR TI - A fast saddle-point dynamical system approach to robust deep learning. AU - Esfandiari Y AU - Balu A AU - Ebrahimi K AU - Vaidya U AU - Elia N AU - Sarkar S PY - 2021 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2021.02.021 UR - https://doi.org/10.1016/j.neunet.2021.02.021 ER -
APA
Y, E., A, B., K, E., U, V., N, E., & S, S. (2021). A fast saddle-point dynamical system approach to robust deep learning.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2021.02.021
Source records
- pubmed · retrieved 2026-09-25T10:30:20.919Z