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Log-likelihood estimation on MNIST dynamically binarized (test)

82.9Log-LikelihoodIWAE
-114.44-63.2075-11.97539.2575Feb 6, 2019Aug 9, 2019Feb 10, 2020Aug 13, 2020Feb 14, 2021Aug 18, 2021Feb 19, 2022

Evaluation results

MethodLinks
IWAEautoregressive_components=false2019.0282.9
CONVVAE+HVIautoregressive_components=false2019.0281.94
LVAEautoregressive_components=false2019.0281.74
BIVAautoregressive_components=false, importance_weighted_samples=1, finetuned=false2019.0280.6
BIVAautoregressive_components=false, importance_weighted_samples=1, finetuned=true2019.0280.06
DISCRETE VAEautoregressive_components=false2019.0280.04
DRAW+VGPautoregressive_components=true2019.0279.88
IAFVAEautoregressive_components=true2019.0279.1
VLAEautoregressive_components=true2019.0278.53
BIVAautoregressive_components=false, importance_weighted_samples=1000, finetuned=false2019.0278.49
BIVAautoregressive_components=false, importance_weighted_samples=1000, finetuned=true2019.0278.41
CARMS-IArchitecture=Nonlinear, Categories (C)=10, Latent variables=20, Samples per gradient step=102021.10-92.97
LOORFArchitecture=Nonlinear, Categories (C)=10, Latent variables=20, Samples per gradient step=102021.10-93.22
CARMS-GArchitecture=Nonlinear, Categories (C)=10, Latent variables=20, Samples per gradient step=102021.10-93.26
CARMS-GArchitecture=Nonlinear, Categories (C)=5, Latent variables=40, Samples per gradient step=52021.10-93.27
LOORFArchitecture=Nonlinear, Categories (C)=5, Latent variables=40, Samples per gradient step=52021.10-93.67
UNORDArchitecture=Nonlinear, Categories (C)=5, Latent variables=40, Samples per gradient step=52021.10-93.69
CARMS-IArchitecture=Nonlinear, Categories (C)=5, Latent variables=40, Samples per gradient step=52021.10-93.83
UNORDArchitecture=Nonlinear, Categories (C)=10, Latent variables=20, Samples per gradient step=102021.10-93.94
CARMS-GArchitecture=Nonlinear, Categories (C)=3, Latent variables=66, Samples per gradient step=32021.10-95.44
CARMS-IArchitecture=Nonlinear, Categories (C)=3, Latent variables=66, Samples per gradient step=32021.10-95.73
LOORFArchitecture=Nonlinear, Categories (C)=3, Latent variables=66, Samples per gradient step=32021.10-95.98
UNORDArchitecture=Nonlinear, Categories (C)=3, Latent variables=66, Samples per gradient step=32021.10-96.09
RODEOK=3, Training Steps=1M, Likelihood=Bernoulli2022.02-98.72
ARSMArchitecture=Nonlinear, Categories (C)=10, Latent variables=20, Samples per gradient step=102021.10-98.73
ARMSK=3, Training Steps=1M, Likelihood=Bernoulli2022.02-99.08
Double CVK=3, Training Steps=1M, Likelihood=Bernoulli2022.02-99.16
ARSMArchitecture=Nonlinear, Categories (C)=5, Latent variables=40, Samples per gradient step=52021.10-99.61
RODEOK=2, Training Steps=1M, Likelihood=Bernoulli2022.02-100.78
RELAXEvaluations per step=3, Training Steps=1M, Likelihood=Bernoulli2022.02-100.8
Double CVK=2, Training Steps=1M, Likelihood=Bernoulli2022.02-100.91
ARSMArchitecture=Nonlinear, Categories (C)=3, Latent variables=66, Samples per gradient step=32021.10-101.33
DisARMK=2, Training Steps=1M, Likelihood=Bernoulli2022.02-101.61
CARMS-GArchitecture=Linear, Categories (C)=10, Latent variables=20, Samples per gradient step=102021.10-102.88
CARMS-GArchitecture=Linear, Categories (C)=5, Latent variables=40, Samples per gradient step=52021.10-102.9
CARMS-IArchitecture=Linear, Categories (C)=10, Latent variables=20, Samples per gradient step=102021.10-103
UNORDArchitecture=Linear, Categories (C)=5, Latent variables=40, Samples per gradient step=52021.10-103.06
CARMS-IArchitecture=Linear, Categories (C)=5, Latent variables=40, Samples per gradient step=52021.10-103.12
LOORFArchitecture=Linear, Categories (C)=5, Latent variables=40, Samples per gradient step=52021.10-103.16
LOORFArchitecture=Linear, Categories (C)=10, Latent variables=20, Samples per gradient step=102021.10-103.19
UNORDArchitecture=Linear, Categories (C)=10, Latent variables=20, Samples per gradient step=102021.10-103.35
UNORDArchitecture=Linear, Categories (C)=3, Latent variables=66, Samples per gradient step=32021.10-104.73
CARMS-IArchitecture=Linear, Categories (C)=3, Latent variables=66, Samples per gradient step=32021.10-104.82
CARMS-GArchitecture=Linear, Categories (C)=3, Latent variables=66, Samples per gradient step=32021.10-104.9
LOORFArchitecture=Linear, Categories (C)=3, Latent variables=66, Samples per gradient step=32021.10-105.17
ARSMArchitecture=Linear, Categories (C)=5, Latent variables=40, Samples per gradient step=52021.10-105.73
ARSMArchitecture=Linear, Categories (C)=10, Latent variables=20, Samples per gradient step=102021.10-106.41
ARSMArchitecture=Linear, Categories (C)=3, Latent variables=66, Samples per gradient step=32021.10-106.85