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Approximate Bayesian Image Interpretation using Generative Probabilistic
  Graphics Programs

Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs

29 June 2013
Vikash K. Mansinghka
Tejas D. Kulkarni
Yura N. Perov
J. Tenenbaum
ArXiv (abs)PDFHTML

Papers citing "Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs"

4 / 54 papers shown
Title
Deep Convolutional Inverse Graphics Network
Deep Convolutional Inverse Graphics Network
Tejas D. Kulkarni
William F. Whitney
Pushmeet Kohli
J. Tenenbaum
DRLBDL
117
932
0
11 Mar 2015
Inverse Graphics with Probabilistic CAD Models
Inverse Graphics with Probabilistic CAD Models
Tejas D. Kulkarni
Vikash K. Mansinghka
Pushmeet Kohli
J. Tenenbaum
3DV
99
19
0
04 Jul 2014
Venture: a higher-order probabilistic programming platform with
  programmable inference
Venture: a higher-order probabilistic programming platform with programmable inference
Vikash K. Mansinghka
Daniel Selsam
Yura N. Perov
100
256
0
01 Apr 2014
The Informed Sampler: A Discriminative Approach to Bayesian Inference in
  Generative Computer Vision Models
The Informed Sampler: A Discriminative Approach to Bayesian Inference in Generative Computer Vision Models
Varun Jampani
Sebastian Nowozin
M. Loper
Peter V. Gehler
99
45
0
04 Feb 2014
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