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Flexible and accurate inference and learning for deep generative models

Flexible and accurate inference and learning for deep generative models

28 May 2018
Eszter Vértes
M. Sahani
    SyDaBDL
ArXiv (abs)PDFHTML

Papers citing "Flexible and accurate inference and learning for deep generative models"

6 / 6 papers shown
Title
Unsupervised representation learning with recognition-parametrised
  probabilistic models
Unsupervised representation learning with recognition-parametrised probabilistic models
William I. Walker
Hugo Soulat
Changmin Yu
M. Sahani
BDL
63
5
0
13 Sep 2022
Active inference, Bayesian optimal design, and expected utility
Active inference, Bayesian optimal design, and expected utility
Noor Sajid
Lancelot Da Costa
Thomas Parr
Karl J. Friston
63
16
0
21 Sep 2021
Direct Evolutionary Optimization of Variational Autoencoders With Binary
  Latents
Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents
E. Guiraud
Jakob Drefs
Jörg Lücke
DRL
85
3
0
27 Nov 2020
Amortised Learning by Wake-Sleep
Amortised Learning by Wake-Sleep
W. Li
Theodore H. Moskovitz
Heishiro Kanagawa
M. Sahani
OOD
111
7
0
22 Feb 2020
Inverse Rational Control with Partially Observable Continuous Nonlinear
  Dynamics
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics
Saurabh Daptardar
Paul Schrater
Xaq Pitkow
76
39
0
13 Aug 2019
A neurally plausible model learns successor representations in partially
  observable environments
A neurally plausible model learns successor representations in partially observable environments
Eszter Vértes
M. Sahani
55
43
0
22 Jun 2019
1