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Neural Taylor Approximations: Convergence and Exploration in Rectifier
  Networks

Neural Taylor Approximations: Convergence and Exploration in Rectifier Networks

7 November 2016
David Balduzzi
Brian McWilliams
T. Butler-Yeoman
ArXivPDFHTML

Papers citing "Neural Taylor Approximations: Convergence and Exploration in Rectifier Networks"

3 / 3 papers shown
Title
Enhancing path-integral approximation for non-linear diffusion with
  neural network
Enhancing path-integral approximation for non-linear diffusion with neural network
Anna Knezevic
18
1
0
13 Apr 2024
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
34
336
0
10 Jun 2017
Benefits of depth in neural networks
Benefits of depth in neural networks
Matus Telgarsky
155
603
0
14 Feb 2016
1