Provable approximation properties for deep neural networks

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Provable approximation properties for deep neural networks

24 September 2015

Ronald R. Coifman

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Papers citing "Provable approximation properties for deep neural networks"

13 / 13 papers shown

Title
Efficient Representation of Low-Dimensional Manifolds using Deep Networks Ronen Basri David Jacobs 3DPC 66 44 0 15 Feb 2016
The Power of Depth for Feedforward Neural Networks Ronen Eldan Ohad Shamir 216 732 0 12 Dec 2015
A Probabilistic Theory of Deep Learning Ankit B. Patel M. T. Nguyen Richard G. Baraniuk BDL OOD UQCV 82 89 0 02 Apr 2015
Deep Learning and the Information Bottleneck Principle Naftali Tishby Noga Zaslavsky DRL 210 1,584 0 09 Mar 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 326 18,625 0 06 Feb 2015
An exact mapping between the Variational Renormalization Group and Deep Learning Pankaj Mehta D. Schwab AI4CE 91 309 0 14 Oct 2014
On the Computational Efficiency of Training Neural Networks Roi Livni Shai Shalev-Shwartz Ohad Shamir 143 480 0 05 Oct 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 477 43,658 0 17 Sep 2014
On the Number of Linear Regions of Deep Neural Networks Guido Montúfar Razvan Pascanu Kyunghyun Cho Yoshua Bengio 90 1,254 0 08 Feb 2014
Provable Bounds for Learning Some Deep Representations Sanjeev Arora Aditya Bhaskara Rong Ge Tengyu Ma BDL 97 335 0 23 Oct 2013
Multi-column Deep Neural Networks for Image Classification D. Ciresan U. Meier Jürgen Schmidhuber 168 3,943 0 13 Feb 2012
Refinements of Universal Approximation Results for Deep Belief Networks and Restricted Boltzmann Machines Guido Montúfar Nihat Ay 104 91 0 10 May 2010
Approximation and learning by greedy algorithms Andrew R. Barron A. Cohen W. Dahmen Ronald A. DeVore 335 323 0 12 Mar 2008