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. 1803.06442
  4. Cited By
Replica Symmetry Breaking in Bipartite Spin Glasses and Neural Networks

Replica Symmetry Breaking in Bipartite Spin Glasses and Neural Networks

17 March 2018
Gavin Hartnett
Edward Parker
Edward Geist
ArXivPDFHTML

Papers citing "Replica Symmetry Breaking in Bipartite Spin Glasses and Neural Networks"

5 / 5 papers shown
Title
Dataset-Free Weight-Initialization on Restricted Boltzmann Machine
Dataset-Free Weight-Initialization on Restricted Boltzmann Machine
Muneki Yasuda
Ryosuke Maeno
Chako Takahashi
82
0
0
17 Jan 2025
A Dynamical Mean-Field Theory for Learning in Restricted Boltzmann
  Machines
A Dynamical Mean-Field Theory for Learning in Restricted Boltzmann Machines
Burak Çakmak
Manfred Opper
AI4CE
26
11
0
04 May 2020
A Probability Density Theory for Spin-Glass Systems
A Probability Density Theory for Spin-Glass Systems
Gavin Hartnett
Masoud Mohseni
21
4
0
03 Jan 2020
Efficient training of energy-based models via spin-glass control
Efficient training of energy-based models via spin-glass control
S. Al-Fedaghi
Gorka Muñoz-Gil
Eloy Piñol
Miguel Ángel García-March
A. Acín
Maciej Lewenstein
Przemysław R. Grzybowski
16
8
0
03 Oct 2019
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
186
1,186
0
30 Nov 2014
1