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On the Number of Regions of Piecewise Linear Neural Networks
v1v2 (latest)

On the Number of Regions of Piecewise Linear Neural Networks

17 June 2022
Alexis Goujon
Arian Etemadi
M. Unser
ArXiv (abs)PDFHTML

Papers citing "On the Number of Regions of Piecewise Linear Neural Networks"

30 / 30 papers shown
Title
Spectral complexity of deep neural networks
Spectral complexity of deep neural networks
Simmaco Di Lillo
Domenico Marinucci
Michele Salvi
Stefano Vigogna
BDL
116
2
0
15 May 2024
When Deep Learning Meets Polyhedral Theory: A Survey
When Deep Learning Meets Polyhedral Theory: A Survey
Joey Huchette
Gonzalo Muñoz
Thiago Serra
Calvin Tsay
AI4CE
151
37
0
29 Apr 2023
Approximation of Lipschitz Functions using Deep Spline Neural Networks
Approximation of Lipschitz Functions using Deep Spline Neural Networks
Sebastian Neumayer
Alexis Goujon
Pakshal Bohra
M. Unser
62
17
0
13 Apr 2022
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
Sahil Singla
Surbhi Singla
Soheil Feizi
AAML
74
58
0
05 Aug 2021
On the Expected Complexity of Maxout Networks
On the Expected Complexity of Maxout Networks
Hanna Tseran
Guido Montúfar
52
12
0
01 Jul 2021
Sharp bounds for the number of regions of maxout networks and vertices
  of Minkowski sums
Sharp bounds for the number of regions of maxout networks and vertices of Minkowski sums
Guido Montúfar
Yue Ren
Leon Zhang
44
41
0
16 Apr 2021
Deep ReLU Networks Preserve Expected Length
Deep ReLU Networks Preserve Expected Length
Boris Hanin
Ryan Jeong
David Rolnick
54
14
0
21 Feb 2021
Approximating Lipschitz continuous functions with GroupSort neural
  networks
Approximating Lipschitz continuous functions with GroupSort neural networks
Ugo Tanielian
Maxime Sangnier
Gérard Biau
64
39
0
09 Jun 2020
On the Number of Linear Regions of Convolutional Neural Networks
On the Number of Linear Regions of Convolutional Neural Networks
Huan Xiong
Lei Huang
Mengyang Yu
Li Liu
Fan Zhu
Ling Shao
MLT
61
68
0
01 Jun 2020
Training robust neural networks using Lipschitz bounds
Training robust neural networks using Lipschitz bounds
Patricia Pauli
Anne Koch
J. Berberich
Paul Kohler
Frank Allgöwer
71
161
0
06 May 2020
Deep ReLU Networks Have Surprisingly Few Activation Patterns
Deep ReLU Networks Have Surprisingly Few Activation Patterns
Boris Hanin
David Rolnick
84
228
0
03 Jun 2019
The Geometry of Deep Networks: Power Diagram Subdivision
The Geometry of Deep Networks: Power Diagram Subdivision
Randall Balestriero
Romain Cosentino
B. Aazhang
Richard Baraniuk
AI4CE
51
64
0
21 May 2019
Complexity of Linear Regions in Deep Networks
Complexity of Linear Regions in Deep Networks
Boris Hanin
David Rolnick
49
234
0
25 Jan 2019
Sorting out Lipschitz function approximation
Sorting out Lipschitz function approximation
Cem Anil
James Lucas
Roger C. Grosse
90
325
0
13 Nov 2018
A Framework for the construction of upper bounds on the number of affine
  linear regions of ReLU feed-forward neural networks
A Framework for the construction of upper bounds on the number of affine linear regions of ReLU feed-forward neural networks
Peter Hinz
Sara van de Geer
52
23
0
05 Jun 2018
Mad Max: Affine Spline Insights into Deep Learning
Mad Max: Affine Spline Insights into Deep Learning
Randall Balestriero
Richard Baraniuk
AI4CE
69
78
0
17 May 2018
A representer theorem for deep neural networks
A representer theorem for deep neural networks
M. Unser
57
98
0
26 Feb 2018
Bounding and Counting Linear Regions of Deep Neural Networks
Bounding and Counting Linear Regions of Deep Neural Networks
Thiago Serra
Christian Tjandraatmadja
Srikumar Ramalingam
MLT
65
251
0
06 Nov 2017
Understanding Deep Neural Networks with Rectified Linear Units
Understanding Deep Neural Networks with Rectified Linear Units
R. Arora
A. Basu
Poorya Mianjy
Anirbit Mukherjee
PINN
154
643
0
04 Nov 2016
Why and When Can Deep -- but Not Shallow -- Networks Avoid the Curse of
  Dimensionality: a Review
Why and When Can Deep -- but Not Shallow -- Networks Avoid the Curse of Dimensionality: a Review
T. Poggio
H. Mhaskar
Lorenzo Rosasco
Brando Miranda
Q. Liao
126
576
0
02 Nov 2016
Deep vs. shallow networks : An approximation theory perspective
Deep vs. shallow networks : An approximation theory perspective
H. Mhaskar
T. Poggio
165
341
0
10 Aug 2016
On the Expressive Power of Deep Neural Networks
On the Expressive Power of Deep Neural Networks
M. Raghu
Ben Poole
Jon M. Kleinberg
Surya Ganguli
Jascha Narain Sohl-Dickstein
63
790
0
16 Jun 2016
Understanding and Improving Convolutional Neural Networks via
  Concatenated Rectified Linear Units
Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units
Wenling Shang
Kihyuk Sohn
Diogo Almeida
Honglak Lee
74
506
0
16 Mar 2016
The Power of Depth for Feedforward Neural Networks
The Power of Depth for Feedforward Neural Networks
Ronen Eldan
Ohad Shamir
219
732
0
12 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
465
43,341
0
11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
338
18,651
0
06 Feb 2015
Learning Activation Functions to Improve Deep Neural Networks
Learning Activation Functions to Improve Deep Neural Networks
Forest Agostinelli
Matthew Hoffman
Peter Sadowski
Pierre Baldi
ODL
230
475
0
21 Dec 2014
On the Number of Linear Regions of Deep Neural Networks
On the Number of Linear Regions of Deep Neural Networks
Guido Montúfar
Razvan Pascanu
Kyunghyun Cho
Yoshua Bengio
92
1,256
0
08 Feb 2014
Maxout Networks
Maxout Networks
Ian Goodfellow
David Warde-Farley
M. Berk Mirza
Aaron Courville
Yoshua Bengio
OOD
253
2,179
0
18 Feb 2013
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