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Learning minimal representations of stochastic processes with
  variational autoencoders

Learning minimal representations of stochastic processes with variational autoencoders

21 July 2023
Gabriel Fernández-Fernández
Carlo Manzo
M. Lewenstein
A. Dauphin
Gorka Muñoz-Gil
    DiffM
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Papers citing "Learning minimal representations of stochastic processes with variational autoencoders"

3 / 3 papers shown
Title
Machine Learning Analysis of Anomalous Diffusion
Machine Learning Analysis of Anomalous Diffusion
Wenjie Cai
Yi Hu
X. Qu
Hui Zhao
Gongyi Wang
Jing Li
Zihan Huang
67
1
0
02 Dec 2024
Unsupervised learning of anomalous diffusion data
Unsupervised learning of anomalous diffusion data
Gorka Muñoz-Gil
Guillem Guigo i Corominas
M. Lewenstein
DiffM
23
17
0
07 Aug 2021
A disciplined approach to neural network hyper-parameters: Part 1 --
  learning rate, batch size, momentum, and weight decay
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay
L. Smith
208
1,019
0
26 Mar 2018
1