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On the Expressive Power of Deep Neural Networks
v1v2v3v4v5v6 (latest)

On the Expressive Power of Deep Neural Networks

16 June 2016
M. Raghu
Ben Poole
Jon M. Kleinberg
Surya Ganguli
Jascha Narain Sohl-Dickstein
ArXiv (abs)PDFHTML

Papers citing "On the Expressive Power of Deep Neural Networks"

17 / 267 papers shown
Title
Universal Function Approximation by Deep Neural Nets with Bounded Width
  and ReLU Activations
Universal Function Approximation by Deep Neural Nets with Bounded Width and ReLU Activations
Boris Hanin
94
356
0
09 Aug 2017
A Closer Look at Memorization in Deep Networks
A Closer Look at Memorization in Deep Networks
Devansh Arpit
Stanislaw Jastrzebski
Nicolas Ballas
David M. Krueger
Emmanuel Bengio
...
Tegan Maharaj
Asja Fischer
Aaron Courville
Yoshua Bengio
Simon Lacoste-Julien
TDI
168
1,832
0
16 Jun 2017
Recovery Guarantees for One-hidden-layer Neural Networks
Recovery Guarantees for One-hidden-layer Neural Networks
Kai Zhong
Zhao Song
Prateek Jain
Peter L. Bartlett
Inderjit S. Dhillon
MLT
186
337
0
10 Jun 2017
Sharp Minima Can Generalize For Deep Nets
Sharp Minima Can Generalize For Deep Nets
Laurent Dinh
Razvan Pascanu
Samy Bengio
Yoshua Bengio
ODL
147
774
0
15 Mar 2017
On the Expressive Power of Overlapping Architectures of Deep Learning
On the Expressive Power of Overlapping Architectures of Deep Learning
Or Sharir
Amnon Shashua
102
10
0
06 Mar 2017
Mixing Complexity and its Applications to Neural Networks
Mixing Complexity and its Applications to Neural Networks
Michal Moshkovitz
Naftali Tishby
58
11
0
02 Mar 2017
Deep Learning for Computational Chemistry
Deep Learning for Computational Chemistry
Garrett B. Goh
Nathan Oken Hodas
Abhinav Vishnu
AI4CE
97
681
0
17 Jan 2017
Maximum Entropy Flow Networks
Maximum Entropy Flow Networks
Gabriel Loaiza-Ganem
Yuanjun Gao
John P. Cunningham
82
27
0
12 Jan 2017
The Upper Bound on Knots in Neural Networks
The Upper Bound on Knots in Neural Networks
Kevin K. Chen
59
14
0
29 Nov 2016
Survey of Expressivity in Deep Neural Networks
Survey of Expressivity in Deep Neural Networks
M. Raghu
Ben Poole
Jon M. Kleinberg
Surya Ganguli
Jascha Narain Sohl-Dickstein
69
15
0
24 Nov 2016
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
227
644
0
04 Nov 2016
Deep Information Propagation
Deep Information Propagation
S. Schoenholz
Justin Gilmer
Surya Ganguli
Jascha Narain Sohl-Dickstein
104
371
0
04 Nov 2016
Error bounds for approximations with deep ReLU networks
Error bounds for approximations with deep ReLU networks
Dmitry Yarotsky
211
1,238
0
03 Oct 2016
A deep learning model for estimating story points
A deep learning model for estimating story points
Morakot Choetkiertikul
Hoa Dam
T. Tran
Trang Pham
A. Ghose
Tim Menzies
72
173
0
02 Sep 2016
Why does deep and cheap learning work so well?
Why does deep and cheap learning work so well?
Henry W. Lin
Max Tegmark
David Rolnick
133
610
0
29 Aug 2016
Exponential expressivity in deep neural networks through transient chaos
Exponential expressivity in deep neural networks through transient chaos
Ben Poole
Subhaneil Lahiri
M. Raghu
Jascha Narain Sohl-Dickstein
Surya Ganguli
103
596
0
16 Jun 2016
Quantifying the probable approximation error of probabilistic inference
  programs
Quantifying the probable approximation error of probabilistic inference programs
Marco F. Cusumano-Towner
Vikash K. Mansinghka
100
7
0
31 May 2016
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