A fast saddle-point dynamical system approach to robust deep learning.

Esfandiari Y, Balu A, Ebrahimi K, Vaidya U, Elia N, Sarkar S

Open source

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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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

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