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Fluctuation-dissipation Type Theorem in Stochastic Linear Learning

Fluctuation-dissipation Type Theorem in Stochastic Linear Learning

4 June 2021
Manhyung Han
J. Park
Taewoong Lee
J. Han
ArXiv (abs)PDFHTML

Papers citing "Fluctuation-dissipation Type Theorem in Stochastic Linear Learning"

3 / 3 papers shown
Title
DDIM Redux: Mathematical Foundation and Some Extension
DDIM Redux: Mathematical Foundation and Some Extension
Manhyung Han
DiffM
58
1
0
03 Aug 2024
Weight fluctuations in (deep) linear neural networks and a derivation of
  the inverse-variance flatness relation
Weight fluctuations in (deep) linear neural networks and a derivation of the inverse-variance flatness relation
Markus Gross
A. Raulf
Christoph Räth
113
0
0
23 Nov 2023
Stochastic Gradient Descent-like relaxation is equivalent to Metropolis
  dynamics in discrete optimization and inference problems
Stochastic Gradient Descent-like relaxation is equivalent to Metropolis dynamics in discrete optimization and inference problems
Maria Chiara Angelini
A. Cavaliere
Raffaele Marino
F. Ricci-Tersenghi
124
5
0
11 Sep 2023
1