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Lipschitz Properties for Deep Convolutional Networks

Lipschitz Properties for Deep Convolutional Networks

18 January 2017
R. Balan
Maneesh Kumar Singh
Dongmian Zou
ArXivPDFHTML

Papers citing "Lipschitz Properties for Deep Convolutional Networks"

12 / 12 papers shown
Title
LaDTalk: Latent Denoising for Synthesizing Talking Head Videos with High Frequency Details
LaDTalk: Latent Denoising for Synthesizing Talking Head Videos with High Frequency Details
Jian Yang
Xukun Wang
Wentao Wang
Guoming Li
Qihang Fang
Ruihong Yuan
Tianyang Wang
Jason Zhaoxin Fan
Yeying Jin
Zhaoxin Fan
VGen
47
1
0
01 Oct 2024
Uncertainty Estimation and Out-of-Distribution Detection for Deep
  Learning-Based Image Reconstruction using the Local Lipschitz
Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local Lipschitz
D. Bhutto
Bo Zhu
J. Liu
Neha Koonjoo
H. Li
Bruce Rosen
M. Rosen
UQCV
OOD
15
2
0
12 May 2023
On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks
On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks
Hubert Leterme
K. Polisano
V. Perrier
Alahari Karteek
FAtt
38
2
0
19 Sep 2022
Neural Network Robustness as a Verification Property: A Principled Case
  Study
Neural Network Robustness as a Verification Property: A Principled Case Study
Marco Casadio
Ekaterina Komendantskaya
M. Daggitt
Wen Kokke
Guy Katz
Guy Amir
Idan Refaeli
OOD
AAML
16
39
0
03 Apr 2021
Stochastic Markov Gradient Descent and Training Low-Bit Neural Networks
Stochastic Markov Gradient Descent and Training Low-Bit Neural Networks
Jonathan Ashbrock
A. Powell
MQ
28
5
0
25 Aug 2020
Stability for the Training of Deep Neural Networks and Other Classifiers
Stability for the Training of Deep Neural Networks and Other Classifiers
L. Berlyand
P. Jabin
C. A. Safsten
11
7
0
10 Feb 2020
On Lipschitz Bounds of General Convolutional Neural Networks
On Lipschitz Bounds of General Convolutional Neural Networks
Dongmian Zou
R. Balan
Maneesh Kumar Singh
24
54
0
04 Aug 2018
Reinforcement Learning with Function-Valued Action Spaces for Partial
  Differential Equation Control
Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control
Yangchen Pan
Amir-massoud Farahmand
Martha White
S. Nabi
P. Grover
D. Nikovski
48
18
0
13 Jun 2018
Lipschitz regularity of deep neural networks: analysis and efficient
  estimation
Lipschitz regularity of deep neural networks: analysis and efficient estimation
Kevin Scaman
Aladin Virmaux
17
516
0
28 May 2018
Concolic Testing for Deep Neural Networks
Concolic Testing for Deep Neural Networks
Youcheng Sun
Min Wu
Wenjie Ruan
Xiaowei Huang
Marta Kwiatkowska
Daniel Kroening
20
333
0
30 Apr 2018
Rendition: Reclaiming what a black box takes away
Rendition: Reclaiming what a black box takes away
P. Milanfar
28
12
0
23 Apr 2018
Lipschitz Continuity in Model-based Reinforcement Learning
Lipschitz Continuity in Model-based Reinforcement Learning
Kavosh Asadi
Dipendra Kumar Misra
Michael L. Littman
KELM
32
149
0
19 Apr 2018
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