Zobrazeno 1 - 2
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pro vyhledávání: '"Alberto Gonzalez-Sanz"'
Autor:
Alberto Gonzalez-Sanz, Thibaut Boissin, Franck Mamalet, Eustasio del Barrio, Jean-Michel Loubes, Mathieu Serrurier
Publikováno v:
Conference on Computer Vision and Pattern Recognition
Conference on Computer Vision and Pattern Recognition, Jun 2021, Virtuel, Canada. ⟨10.1109/CVPR46437.2021.00057⟩
Conference on Computer Vision and Pattern Recognition, Jun 2021, Virtuel, Canada
CVPR
Conference on Computer Vision and Pattern Recognition, Jun 2021, Virtuel, Canada. ⟨10.1109/CVPR46437.2021.00057⟩
Conference on Computer Vision and Pattern Recognition, Jun 2021, Virtuel, Canada
CVPR
Adversarial examples have pointed out Deep Neural Networks vulnerability to small local noise. It has been shown that constraining their Lipschitz constant should enhance robustness, but make them harder to learn with classical loss functions. We pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f72fe3ab1fd9e6e7aa6f758d8103ba7d
https://hal.science/hal-03033400
https://hal.science/hal-03033400
Publikováno v:
Journal of Multivariate Analysis. 180:104671
We provide sufficient conditions under which the center-outward distribution and quantile functions introduced in Chernozhukov et al. (2017) and Hallin (2017) are homeomorphisms, thereby extending a recent result by Figalli (2018). Our approach relie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6d11938e9fca9e8df6ac8da9492a56c
https://doi.org/10.1016/j.jmva.2020.104671
https://doi.org/10.1016/j.jmva.2020.104671
