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Analysis of Invariance and Robustness via Invertibility of ReLU-Networks

Analysis of Invariance and Robustness via Invertibility of ReLU-Networks

25 June 2018
Jens Behrmann
Sören Dittmer
Pascal Fernsel
Peter Maass
ArXivPDFHTML

Papers citing "Analysis of Invariance and Robustness via Invertibility of ReLU-Networks"

7 / 7 papers shown
Title
Training Invertible Neural Networks as Autoencoders
Training Invertible Neural Networks as Autoencoders
The-Gia Leo Nguyen
Lynton Ardizzone
Ullrich Kothe
BDL
DRL
SSL
27
9
0
20 Mar 2023
Certified Invertibility in Neural Networks via Mixed-Integer Programming
Certified Invertibility in Neural Networks via Mixed-Integer Programming
Tianqi Cui
Tom S. Bertalan
George J. Pappas
M. Morari
Ioannis G. Kevrekidis
Mahyar Fazlyab
AAML
19
2
0
27 Jan 2023
Understanding and Mitigating Exploding Inverses in Invertible Neural
  Networks
Understanding and Mitigating Exploding Inverses in Invertible Neural Networks
Jens Behrmann
Paul Vicol
Kuan-Chieh Jackson Wang
Roger C. Grosse
J. Jacobsen
16
92
0
16 Jun 2020
Exploiting Excessive Invariance caused by Norm-Bounded Adversarial
  Robustness
Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness
J. Jacobsen
Jens Behrmann
Nicholas Carlini
Florian Tramèr
Nicolas Papernot
AAML
14
46
0
25 Mar 2019
Excessive Invariance Causes Adversarial Vulnerability
Excessive Invariance Causes Adversarial Vulnerability
J. Jacobsen
Jens Behrmann
R. Zemel
Matthias Bethge
AAML
20
166
0
01 Nov 2018
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,238
0
24 Jun 2017
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
179
1,185
0
30 Nov 2014
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