Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1805.10965
Cited By
Lipschitz regularity of deep neural networks: analysis and efficient estimation
28 May 2018
Kevin Scaman
Aladin Virmaux
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Lipschitz regularity of deep neural networks: analysis and efficient estimation"
29 / 329 papers shown
Title
Joint Multi-Dimension Pruning via Numerical Gradient Update
Zechun Liu
Xinming Zhang
Zhiqiang Shen
Zhe Li
Yichen Wei
Kwang-Ting Cheng
Jian Sun
47
19
0
18 May 2020
Training robust neural networks using Lipschitz bounds
Patricia Pauli
Anne Koch
J. Berberich
Paul Kohler
Frank Allgöwer
19
156
0
06 May 2020
Local Lipschitz Bounds of Deep Neural Networks
Calypso Herrera
Florian Krach
Josef Teichmann
19
3
0
27 Apr 2020
Revisiting Initialization of Neural Networks
Maciej Skorski
Alessandro Temperoni
Martin Theobald
20
2
0
20 Apr 2020
Accelerating Physics-Informed Neural Network Training with Prior Dictionaries
Wei Peng
Weien Zhou
Jun Zhang
W. Yao
PINN
AI4CE
27
30
0
17 Apr 2020
Learning Control Barrier Functions from Expert Demonstrations
Alexander Robey
Haimin Hu
Lars Lindemann
Hanwen Zhang
Dimos V. Dimarogonas
Stephen Tu
Nikolai Matni
31
201
0
07 Apr 2020
Volumization as a Natural Generalization of Weight Decay
Liu Ziyin
Zihao Wang
M. Yamada
Masahito Ueda
AI4CE
11
0
0
25 Mar 2020
Tune smarter not harder: A principled approach to tuning learning rates for shallow nets
Thulasi Tholeti
Sheetal Kalyani
13
4
0
22 Mar 2020
Interference and Generalization in Temporal Difference Learning
Emmanuel Bengio
Joelle Pineau
Doina Precup
18
59
0
13 Mar 2020
Exactly Computing the Local Lipschitz Constant of ReLU Networks
Matt Jordan
A. Dimakis
22
112
0
02 Mar 2020
Generalised Lipschitz Regularisation Equals Distributional Robustness
Zac Cranko
Zhan Shi
Xinhua Zhang
Richard Nock
Simon Kornblith
OOD
26
20
0
11 Feb 2020
Semialgebraic Optimization for Lipschitz Constants of ReLU Networks
Tong Chen
J. Lasserre
Victor Magron
Edouard Pauwels
36
3
0
10 Feb 2020
Gated Graph Recurrent Neural Networks
Luana Ruiz
Fernando Gama
Alejandro Ribeiro
GNN
26
139
0
03 Feb 2020
Safe Predictors for Enforcing Input-Output Specifications
Stephen Mell
Olivia M. Brown
Justin A. Goodwin
Sung-Hyun Son
6
6
0
29 Jan 2020
Softmax-based Classification is k-means Clustering: Formal Proof, Consequences for Adversarial Attacks, and Improvement through Centroid Based Tailoring
Sibylle Hess
W. Duivesteijn
Decebal Constantin Mocanu
25
12
0
07 Jan 2020
An Analysis of the Expressiveness of Deep Neural Network Architectures Based on Their Lipschitz Constants
Siqi Zhou
Angela P. Schoellig
14
12
0
24 Dec 2019
There is Limited Correlation between Coverage and Robustness for Deep Neural Networks
Yizhen Dong
Peixin Zhang
Jingyi Wang
Shuang Liu
Jun Sun
Jianye Hao
Xinyu Wang
Li Wang
J. Dong
Ting Dai
OOD
AAML
21
32
0
14 Nov 2019
L*ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained Visual Categorization
Mina Basirat
P. Roth
16
8
0
27 Oct 2019
Surfing: Iterative optimization over incrementally trained deep networks
Ganlin Song
Z. Fan
John D. Lafferty
13
20
0
19 Jul 2019
Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks
Ahmed T. Elthakeb
Prannoy Pilligundla
Alex Cloninger
H. Esmaeilzadeh
MQ
26
8
0
14 Jun 2019
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks
Mahyar Fazlyab
Alexander Robey
Hamed Hassani
M. Morari
George J. Pappas
28
449
0
12 Jun 2019
Concavifiability and convergence: necessary and sufficient conditions for gradient descent analysis
Thulasi Tholeti
Sheetal Kalyani
MLT
6
0
0
28 May 2019
Rethinking Arithmetic for Deep Neural Networks
George A. Constantinides
34
4
0
07 May 2019
The coupling effect of Lipschitz regularization in deep neural networks
Nicolas P. Couellan
19
5
0
12 Apr 2019
Robust Coreset Construction for Distributed Machine Learning
Hanlin Lu
Ming-Ju Li
T. He
Shiqiang Wang
Vijay Narayanan
Kevin S. Chan
OOD
19
25
0
11 Apr 2019
Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes
Matt Jordan
Justin Lewis
A. Dimakis
AAML
21
57
0
20 Mar 2019
Improving MMD-GAN Training with Repulsive Loss Function
Wei Wang
Yuan Sun
Saman K. Halgamuge
GAN
17
79
0
24 Dec 2018
On Lipschitz Bounds of General Convolutional Neural Networks
Dongmian Zou
R. Balan
Maneesh Kumar Singh
24
54
0
04 Aug 2018
Regularization via Mass Transportation
Soroosh Shafieezadeh-Abadeh
Daniel Kuhn
Peyman Mohajerin Esfahani
OOD
30
203
0
27 Oct 2017
Previous
1
2
3
4
5
6
7