ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1702.00458
  4. Cited By
Convergence Results for Neural Networks via Electrodynamics

Convergence Results for Neural Networks via Electrodynamics

1 February 2017
Rina Panigrahy
Sushant Sachdeva
Qiuyi Zhang
    MLT
    MDE
ArXivPDFHTML

Papers citing "Convergence Results for Neural Networks via Electrodynamics"

6 / 6 papers shown
Title
Revisiting Landscape Analysis in Deep Neural Networks: Eliminating
  Decreasing Paths to Infinity
Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreasing Paths to Infinity
Shiyu Liang
Ruoyu Sun
R. Srikant
35
19
0
31 Dec 2019
Optimization for deep learning: theory and algorithms
Optimization for deep learning: theory and algorithms
Ruoyu Sun
ODL
19
168
0
19 Dec 2019
On the Convergence Rate of Training Recurrent Neural Networks
On the Convergence Rate of Training Recurrent Neural Networks
Zeyuan Allen-Zhu
Yuanzhi Li
Zhao Song
18
191
0
29 Oct 2018
Learning Compact Neural Networks with Regularization
Learning Compact Neural Networks with Regularization
Samet Oymak
MLT
41
39
0
05 Feb 2018
Theoretical insights into the optimization landscape of
  over-parameterized shallow neural networks
Theoretical insights into the optimization landscape of over-parameterized shallow neural networks
Mahdi Soltanolkotabi
Adel Javanmard
J. Lee
36
415
0
16 Jul 2017
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
183
1,185
0
30 Nov 2014
1