Comparing dynamics: deep neural networks versus glassy systems-Reference-Cited by-同舟云学术

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Comparing dynamics: deep neural networks versus glassy systems

Published:2019-12-20 Issue:12 Volume:2019 Page:124013
ISSN:1742-5468
Container-title:Journal of Statistical Mechanics: Theory and Experiment
language:
Short-container-title:J. Stat. Mech.

Author:

Baity-Jesi Marco,Sagun Levent,Geiger Mario,Spigler Stefano,Ben Arous Gérard,Cammarota Chiara,LeCun Yann,Wyart Matthieu,Biroli Giulio

Publisher

IOP Publishing

Subject

Statistics, Probability and Uncertainty,Statistics and Probability,Statistical and Nonlinear Physics

Link

https://iopscience.iop.org/article/10.1088/1742-5468/ab3281/pdf

Reference40 articles.

1. Spectral Gap Estimates in Mean Field Spin Glasses

2. Activated aging dynamics and effective trap model description in the random energy model

3. BBX21, an Arabidopsis B-box protein, directly activates HY5 and is targeted by COP1 for 26S proteasome-mediated degradation

4. Cugliandolo-Kurchan equations for dynamics of Spin-Glasses

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