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Modeling Extremes with d-max-decreasing Neural Networks

Modeling Extremes with d-max-decreasing Neural Networks

Ali Hasan
Khalil Elkhalil
Yuting Ng
João M. Pereira
Sina Farsiu
Jose H. Blanchet
Vahid Tarokh
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Papers citing "Modeling Extremes with d-max-decreasing Neural Networks"

5 / 5 papers shown
Title
A Review of automatic differentiation and its efficient implementation
A Review of automatic differentiation and its efficient implementation
C. Margossian
41
312
0
12 Nov 2018
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach
Tsui-Wei Weng
Huan Zhang
Pin-Yu Chen
Jinfeng Yi
D. Su
Yupeng Gao
Cho-Jui Hsieh
Luca Daniel
AAML
65
466
0
31 Jan 2018
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
262
611
0
22 Sep 2016
Maxout Networks
Maxout Networks
Ian Goodfellow
David Warde-Farley
M. Berk Mirza
Aaron Courville
Yoshua Bengio
OOD
189
2,176
0
18 Feb 2013
New estimators of the Pickands dependence function and a test for extreme-value dependence
New estimators of the Pickands dependence function and a test for extreme-value dependence
Axel Bücher
Holger Dette
S. Volgushev
40
81
0
02 Feb 2011

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